Year |
Conf. |
Topic |
Cited |
Paper |
Authors |
Url |
2019 |
ACL |
# arch-att, arch-copy, search-viterbi, pre-glove, task-extractive, task-seq2seq, task-relation |
2 |
TalkSumm: A Dataset and Scalable Annotation Method for Scientific Paper Summarization Based on Conference Talks |
Guy Lev, Michal Shmueli-Scheuer, Jonathan Herzig, Achiya Jerbi, David Konopnicki |
https://www.aclweb.org/anthology/P19-1204.pdf |
2019 |
ACL |
# arch-lstm, arch-bilstm, arch-att, arch-memo, search-greedy, pre-glove, struct-crf, task-textclass, task-seqlab, task-seq2seq |
0 |
Distantly Supervised Named Entity Recognition using Positive-Unlabeled Learning |
Minlong Peng, Xiaoyu Xing, Qi Zhang, Jinlan Fu, Xuanjing Huang |
https://www.aclweb.org/anthology/P19-1231.pdf |
2019 |
ACL |
# optim-adam, train-mtl, train-transfer, arch-lstm, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-bert, task-extractive, task-lm, task-context |
0 |
Self-Supervised Learning for Contextualized Extractive Summarization |
Hong Wang, Xin Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang |
https://www.aclweb.org/anthology/P19-1214.pdf |
2019 |
ACL |
# arch-lstm, arch-gnn, arch-cnn, arch-att, arch-bilinear, pre-glove, latent-vae, loss-nce, task-seqlab, task-condlm, task-seq2seq, task-relation |
1 |
Learning Representations from Imperfect Time Series Data via Tensor Rank Regularization |
Paul Pu Liang, Zhun Liu, Yao-Hung Hubert Tsai, Qibin Zhao, Ruslan Salakhutdinov, Louis-Philippe Morency |
https://www.aclweb.org/anthology/P19-1152.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-stopping, arch-lstm, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-bert, task-textpair, task-spanlab, task-lm, task-seq2seq |
3 |
E3: Entailment-driven Extracting and Editing for Conversational Machine Reading |
Victor Zhong, Luke Zettlemoyer |
https://www.aclweb.org/anthology/P19-1223.pdf |
2019 |
ACL |
# optim-adam, train-mll, arch-rnn, arch-coverage, arch-subword, pre-word2vec, pre-fasttext, pre-glove, pre-elmo, pre-bert |
0 |
Probing for Semantic Classes: Diagnosing the Meaning Content of Word Embeddings |
Yadollah Yaghoobzadeh, Katharina Kann, T. J. Hazen, Eneko Agirre, Hinrich Schütze |
https://www.aclweb.org/anthology/P19-1574.pdf |
2019 |
ACL |
# optim-adagrad, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-gnn, arch-att, search-beam, search-viterbi, pre-glove, pre-skipthought, pre-elmo, task-lm, task-relation |
0 |
Multi-Relational Script Learning for Discourse Relations |
I-Ta Lee, Dan Goldwasser |
https://www.aclweb.org/anthology/P19-1413.pdf |
2019 |
ACL |
# optim-adam, arch-rnn, arch-gru, arch-att, pre-glove, latent-vae, task-lm |
2 |
Target-Guided Open-Domain Conversation |
Jianheng Tang, Tiancheng Zhao, Chenyan Xiong, Xiaodan Liang, Eric Xing, Zhiting Hu |
https://www.aclweb.org/anthology/P19-1565.pdf |
2019 |
ACL |
# optim-projection, train-mtl, train-transfer, arch-rnn, arch-birnn, arch-lstm, arch-coverage, pre-glove, struct-hmm, struct-crf, task-textclass, task-seqlab |
0 |
A Joint Named-Entity Recognizer for Heterogeneous Tag-sets Using a Tag Hierarchy |
Genady Beryozkin, Yoel Drori, Oren Gilon, Tzvika Hartman, Idan Szpektor |
https://www.aclweb.org/anthology/P19-1014.pdf |
2019 |
ACL |
# optim-adam, optim-projection, train-transfer, train-augment, pre-word2vec, pre-glove, pre-elmo, task-textclass, task-condlm |
7 |
Mitigating Gender Bias in Natural Language Processing: Literature Review |
Tony Sun, Andrew Gaut, Shirlyn Tang, Yuxin Huang, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth Belding, Kai-Wei Chang, William Yang Wang |
https://www.aclweb.org/anthology/P19-1159.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-active, arch-rnn, arch-cnn, arch-att, arch-memo, search-beam, pre-glove, task-seq2seq |
2 |
Collaborative Dialogue in Minecraft |
Anjali Narayan-Chen, Prashant Jayannavar, Julia Hockenmaier |
https://www.aclweb.org/anthology/P19-1537.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, norm-layer, train-active, arch-lstm, arch-bilstm, arch-att, pre-glove, pre-elmo, pre-bert, struct-crf, task-lm |
0 |
Learning Emphasis Selection for Written Text in Visual Media from Crowd-Sourced Label Distributions |
Amirreza Shirani, Franck Dernoncourt, Paul Asente, Nedim Lipka, Seokhwan Kim, Jose Echevarria, Thamar Solorio |
https://www.aclweb.org/anthology/P19-1112.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mtl, train-mll, pool-max, pool-mean, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-coverage, pre-glove, pre-skipthought, pre-elmo, pre-bert, adv-train, task-textpair, task-lm, task-cloze, task-relation |
2 |
DisSent: Learning Sentence Representations from Explicit Discourse Relations |
Allen Nie, Erin Bennett, Noah Goodman |
https://www.aclweb.org/anthology/P19-1442.pdf |
2019 |
ACL |
# optim-adam, optim-projection, arch-rnn, arch-cnn, arch-att, arch-memo, arch-transformer, comb-ensemble, pre-glove, pre-skipthought, task-lm, task-relation |
0 |
Global Textual Relation Embedding for Relational Understanding |
Zhiyu Chen, Hanwen Zha, Honglei Liu, Wenhu Chen, Xifeng Yan, Yu Su |
https://www.aclweb.org/anthology/P19-1127.pdf |
2019 |
ACL |
# reg-dropout, norm-layer, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-bilinear, arch-coverage, arch-transformer, comb-ensemble, pre-glove, pre-elmo, pre-bert, task-relation |
8 |
Head-Driven Phrase Structure Grammar Parsing on Penn Treebank |
Junru Zhou, Hai Zhao |
https://www.aclweb.org/anthology/P19-1230.pdf |
2019 |
ACL |
# pre-glove, latent-vae |
8 |
Towards Understanding Linear Word Analogies |
Kawin Ethayarajh, David Duvenaud, Graeme Hirst |
https://www.aclweb.org/anthology/P19-1315.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-transformer, pre-glove, task-textpair, task-lm, task-seq2seq |
4 |
Multimodal Transformer for Unaligned Multimodal Language Sequences |
Yao-Hung Hubert Tsai, Shaojie Bai, Paul Pu Liang, J. Zico Kolter, Louis-Philippe Morency, Ruslan Salakhutdinov |
https://www.aclweb.org/anthology/P19-1656.pdf |
2019 |
ACL |
# optim-sgd, train-mll, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, comb-ensemble, pre-word2vec, pre-glove, pre-elmo, pre-bert, task-textpair, task-seqlab, task-seq2seq |
0 |
End-to-End Sequential Metaphor Identification Inspired by Linguistic Theories |
Rui Mao, Chenghua Lin, Frank Guerin |
https://www.aclweb.org/anthology/P19-1378.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, reg-stopping, train-parallel, arch-rnn, arch-gru, arch-memo, pre-glove, pre-bert, latent-vae, task-lm |
3 |
The Referential Reader: A Recurrent Entity Network for Anaphora Resolution |
Fei Liu, Luke Zettlemoyer, Jacob Eisenstein |
https://www.aclweb.org/anthology/P19-1593.pdf |
2019 |
ACL |
# init-glorot, train-transfer, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-att, pre-glove, loss-nce |
0 |
Toward Comprehensive Understanding of a Sentiment Based on Human Motives |
Naoki Otani, Eduard Hovy |
https://www.aclweb.org/anthology/P19-1461.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mtl, train-transfer, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-att, pre-glove, task-lm |
0 |
Detecting Concealed Information in Text and Speech |
Shengli Hu |
https://www.aclweb.org/anthology/P19-1039.pdf |
2019 |
ACL |
# optim-projection, arch-rnn, arch-gru, arch-att, arch-copy, arch-coverage, pre-glove, task-extractive, task-seq2seq |
1 |
Keep Meeting Summaries on Topic: Abstractive Multi-Modal Meeting Summarization |
Manling Li, Lingyu Zhang, Heng Ji, Richard J. Radke |
https://www.aclweb.org/anthology/P19-1210.pdf |
2019 |
ACL |
# optim-adadelta, reg-dropout, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-bilinear, pre-word2vec, pre-glove |
1 |
Divide, Conquer and Combine: Hierarchical Feature Fusion Network with Local and Global Perspectives for Multimodal Affective Computing |
Sijie Mai, Haifeng Hu, Songlong Xing |
https://www.aclweb.org/anthology/P19-1046.pdf |
2019 |
ACL |
# train-mll, arch-lstm, arch-att, arch-coverage, arch-subword, pre-fasttext, pre-glove, loss-svd |
1 |
Relational Word Embeddings |
Jose Camacho-Collados, Luis Espinosa Anke, Steven Schockaert |
https://www.aclweb.org/anthology/P19-1318.pdf |
2019 |
ACL |
# optim-adam, pool-max, pool-mean, arch-lstm, arch-bilstm, arch-att, arch-selfatt, pre-glove, task-textpair |
0 |
Predicting Human Activities from User-Generated Content |
Steven Wilson, Rada Mihalcea |
https://www.aclweb.org/anthology/P19-1245.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, pre-fasttext, pre-glove, latent-vae, task-relation |
1 |
An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis |
Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier |
https://www.aclweb.org/anthology/P19-1048.pdf |
2019 |
ACL |
# optim-adam, pool-max, arch-lstm, arch-gru, arch-att, arch-bilinear, pre-glove, pre-paravec, task-condlm, task-seq2seq |
1 |
Improving Visual Question Answering by Referring to Generated Paragraph Captions |
Hyounghun Kim, Mohit Bansal |
https://www.aclweb.org/anthology/P19-1351.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-att, pre-glove, task-seq2seq |
3 |
Neural News Recommendation with Long- and Short-term User Representations |
Mingxiao An, Fangzhao Wu, Chuhan Wu, Kun Zhang, Zheng Liu, Xing Xie |
https://www.aclweb.org/anthology/P19-1033.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, train-mll, arch-coverage, arch-subword, pre-glove, loss-svd, loss-margin, task-textpair |
1 |
Generalized Tuning of Distributional Word Vectors for Monolingual and Cross-Lingual Lexical Entailment |
Goran Glavaš, Ivan Vulić |
https://www.aclweb.org/anthology/P19-1476.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mll, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-subword, pre-glove, struct-crf, task-seqlab |
3 |
Joint Entity Extraction and Assertion Detection for Clinical Text |
Parminder Bhatia, Busra Celikkaya, Mohammed Khalilia |
https://www.aclweb.org/anthology/P19-1091.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-bilinear, arch-transformer, pre-glove, pre-bert, task-textclass, task-seqlab, task-seq2seq |
4 |
DocRED: A Large-Scale Document-Level Relation Extraction Dataset |
Yuan Yao, Deming Ye, Peng Li, Xu Han, Yankai Lin, Zhenghao Liu, Zhiyuan Liu, Lixin Huang, Jie Zhou, Maosong Sun |
https://www.aclweb.org/anthology/P19-1074.pdf |
2019 |
ACL |
# optim-projection, arch-coverage, pre-word2vec, pre-glove, pre-bert, latent-vae, latent-topic, loss-cca, loss-svd, task-textclass |
0 |
Word2Sense: Sparse Interpretable Word Embeddings |
Abhishek Panigrahi, Harsha Vardhan Simhadri, Chiranjib Bhattacharyya |
https://www.aclweb.org/anthology/P19-1570.pdf |
2019 |
ACL |
# arch-rnn, arch-lstm, arch-att, pre-glove, loss-cca, task-seq2seq |
0 |
Exploring Author Context for Detecting Intended vs Perceived Sarcasm |
Silviu Oprea, Walid Magdy |
https://www.aclweb.org/anthology/P19-1275.pdf |
2019 |
ACL |
# train-augment, arch-rnn, arch-lstm, arch-att, arch-bilinear, arch-coverage, search-beam, pre-glove |
10 |
Stay on the Path: Instruction Fidelity in Vision-and-Language Navigation |
Vihan Jain, Gabriel Magalhaes, Alexander Ku, Ashish Vaswani, Eugene Ie, Jason Baldridge |
https://www.aclweb.org/anthology/P19-1181.pdf |
2019 |
ACL |
# optim-adam, arch-rnn, arch-lstm, arch-att, arch-copy, pre-glove, task-condlm, task-seq2seq |
2 |
Bridging by Word: Image Grounded Vocabulary Construction for Visual Captioning |
Zhihao Fan, Zhongyu Wei, Siyuan Wang, Xuanjing Huang |
https://www.aclweb.org/anthology/P19-1652.pdf |
2019 |
ACL |
# optim-adam, pre-word2vec, pre-glove, task-textclass |
0 |
A Transparent Framework for Evaluating Unintended Demographic Bias in Word Embeddings |
Chris Sweeney, Maryam Najafian |
https://www.aclweb.org/anthology/P19-1162.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-stopping, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, pre-glove, pre-elmo, pre-bert, struct-crf, task-seqlab, task-lm, task-relation |
2 |
Multi-grained Named Entity Recognition |
Congying Xia, Chenwei Zhang, Tao Yang, Yaliang Li, Nan Du, Xian Wu, Wei Fan, Fenglong Ma, Philip Yu |
https://www.aclweb.org/anthology/P19-1138.pdf |
2019 |
ACL |
# optim-adam, init-glorot, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, pre-glove, loss-nce, task-seq2seq |
0 |
Joint Effects of Context and User History for Predicting Online Conversation Re-entries |
Xingshan Zeng, Jing Li, Lu Wang, Kam-Fai Wong |
https://www.aclweb.org/anthology/P19-1270.pdf |
2019 |
ACL |
# optim-adam, optim-adagrad, reg-dropout, train-augment, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-copy, search-beam, pre-glove, pre-bert, adv-examp, latent-vae, task-spanlab, task-seq2seq |
3 |
Learning to Ask Unanswerable Questions for Machine Reading Comprehension |
Haichao Zhu, Li Dong, Furu Wei, Wenhui Wang, Bing Qin, Ting Liu |
https://www.aclweb.org/anthology/P19-1415.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, arch-lstm, arch-gru, arch-bigru, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-elmo, struct-crf, task-textclass |
0 |
Observing Dialogue in Therapy: Categorizing and Forecasting Behavioral Codes |
Jie Cao, Michael Tanana, Zac Imel, Eric Poitras, David Atkins, Vivek Srikumar |
https://www.aclweb.org/anthology/P19-1563.pdf |
2019 |
ACL |
# optim-adam, arch-lstm, arch-att, pre-glove, task-textpair |
0 |
Modeling Affirmative and Negated Action Processing in the Brain with Lexical and Compositional Semantic Models |
Vesna Djokic, Jean Maillard, Luana Bulat, Ekaterina Shutova |
https://www.aclweb.org/anthology/P19-1508.pdf |
2019 |
ACL |
# optim-adam, train-augment, arch-rnn, arch-lstm, arch-cnn, arch-transformer, search-beam, pre-glove, pre-elmo, pre-bert, task-lm |
1 |
Relating Simple Sentence Representations in Deep Neural Networks and the Brain |
Sharmistha Jat, Hao Tang, Partha Talukdar, Tom Mitchell |
https://www.aclweb.org/anthology/P19-1507.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-stopping, arch-rnn, arch-lstm, arch-att, arch-residual, arch-memo, comb-ensemble, pre-glove, task-textpair, task-condlm, task-tree |
2 |
Simple and Effective Text Matching with Richer Alignment Features |
Runqi Yang, Jianhai Zhang, Xing Gao, Feng Ji, Haiqing Chen |
https://www.aclweb.org/anthology/P19-1465.pdf |
2019 |
ACL |
# optim-adam, init-glorot, reg-dropout, reg-stopping, reg-patience, norm-gradient, arch-rnn, arch-lstm, arch-gcnn, arch-cnn, arch-att, arch-memo, arch-bilinear, arch-transformer, comb-ensemble, pre-glove, task-tree |
2 |
Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network |
Sunil Kumar Sahu, Fenia Christopoulou, Makoto Miwa, Sophia Ananiadou |
https://www.aclweb.org/anthology/P19-1423.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, norm-gradient, arch-lstm, arch-gru, arch-bigru, arch-att, arch-selfatt, arch-memo, pre-glove, task-spanlab, task-seq2seq |
0 |
Inferential Machine Comprehension: Answering Questions by Recursively Deducing the Evidence Chain from Text |
Jianxing Yu, Zhengjun Zha, Jian Yin |
https://www.aclweb.org/anthology/P19-1217.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, activ-relu, pool-max, pool-mean, arch-cnn, pre-glove, task-textclass, task-lm, task-seq2seq |
4 |
MOROCO: The Moldavian and Romanian Dialectal Corpus |
Andrei Butnaru, Radu Tudor Ionescu |
https://www.aclweb.org/anthology/P19-1068.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, arch-bilinear, pre-glove, task-spanlab |
0 |
Textbook Question Answering with Multi-modal Context Graph Understanding and Self-supervised Open-set Comprehension |
Daesik Kim, Seonhoon Kim, Nojun Kwak |
https://www.aclweb.org/anthology/P19-1347.pdf |
2019 |
ACL |
# arch-rnn, arch-lstm, arch-att, arch-transformer, search-beam, pre-glove, pre-bert, task-lm, task-condlm, task-seq2seq |
1 |
Comparison of Diverse Decoding Methods from Conditional Language Models |
Daphne Ippolito, Reno Kriz, Joao Sedoc, Maria Kustikova, Chris Callison-Burch |
https://www.aclweb.org/anthology/P19-1365.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-transfer, train-active, arch-rnn, arch-lstm, arch-gru, arch-att, pre-glove, task-seq2seq, meta-init |
5 |
Domain Adaptive Dialog Generation via Meta Learning |
Kun Qian, Zhou Yu |
https://www.aclweb.org/anthology/P19-1253.pdf |
2019 |
ACL |
# optim-adam, arch-lstm, pre-glove, struct-crf, task-textpair |
14 |
A Large-Scale Corpus for Conversation Disentanglement |
Jonathan K. Kummerfeld, Sai R. Gouravajhala, Joseph J. Peper, Vignesh Athreya, Chulaka Gunasekara, Jatin Ganhotra, Siva Sankalp Patel, Lazaros C Polymenakos, Walter Lasecki |
https://www.aclweb.org/anthology/P19-1374.pdf |
2019 |
ACL |
# optim-adam, optim-adadelta, optim-projection, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-copy, pre-glove, task-spanlab, task-condlm |
3 |
Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives |
Yi Tay, Shuohang Wang, Anh Tuan Luu, Jie Fu, Minh C. Phan, Xingdi Yuan, Jinfeng Rao, Siu Cheung Hui, Aston Zhang |
https://www.aclweb.org/anthology/P19-1486.pdf |
2019 |
ACL |
# train-mtl, pool-max, arch-lstm, arch-cnn, arch-att, arch-memo, arch-bilinear, arch-coverage, pre-fasttext, pre-glove, adv-examp, task-textclass, task-textpair, task-lm, task-tree |
10 |
Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications |
Wei Zhao, Haiyun Peng, Steffen Eger, Erik Cambria, Min Yang |
https://www.aclweb.org/anthology/P19-1150.pdf |
2019 |
ACL |
# optim-adam, arch-lstm, arch-cnn, arch-att, arch-coverage, pre-glove, pre-skipthought, task-textclass |
0 |
Encoding Social Information with Graph Convolutional Networks forPolitical Perspective Detection in News Media |
Chang Li, Dan Goldwasser |
https://www.aclweb.org/anthology/P19-1247.pdf |
2019 |
ACL |
# optim-adam, optim-projection, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, pre-glove, pre-elmo, latent-topic, task-textclass |
9 |
The Risk of Racial Bias in Hate Speech Detection |
Maarten Sap, Dallas Card, Saadia Gabriel, Yejin Choi, Noah A. Smith |
https://www.aclweb.org/anthology/P19-1163.pdf |
2019 |
ACL |
# init-glorot, train-transfer, arch-lstm, arch-att, arch-coverage, arch-transformer, pre-glove, pre-elmo, pre-bert, adv-train, latent-topic, task-textclass, task-lm |
1 |
Zero-Shot Entity Linking by Reading Entity Descriptions |
Lajanugen Logeswaran, Ming-Wei Chang, Kenton Lee, Kristina Toutanova, Jacob Devlin, Honglak Lee |
https://www.aclweb.org/anthology/P19-1335.pdf |
2019 |
ACL |
# reg-dropout, arch-rnn, arch-lstm, arch-cnn, pre-glove, pre-elmo, task-lm, task-relation |
0 |
Identifying Visible Actions in Lifestyle Vlogs |
Oana Ignat, Laura Burdick, Jia Deng, Rada Mihalcea |
https://www.aclweb.org/anthology/P19-1643.pdf |
2019 |
ACL |
# optim-adam, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, struct-crf, latent-topic, loss-nce, task-textpair, task-seqlab, task-lm |
1 |
Deep Neural Model Inspection and Comparison via Functional Neuron Pathways |
James Fiacco, Samridhi Choudhary, Carolyn Rose |
https://www.aclweb.org/anthology/P19-1575.pdf |
2019 |
ACL |
# optim-adam, train-transfer, arch-lstm, arch-treelstm, arch-bilinear, arch-coverage, search-viterbi, pre-glove, pre-elmo, task-textpair, task-relation, task-tree |
0 |
Automatic Generation of High Quality CCGbanks for Parser Domain Adaptation |
Masashi Yoshikawa, Hiroshi Noji, Koji Mineshima, Daisuke Bekki |
https://www.aclweb.org/anthology/P19-1013.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-gnn, arch-att, arch-selfatt, arch-memo, arch-bilinear, comb-ensemble, pre-glove, task-textclass, task-condlm, task-seq2seq |
10 |
Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog |
Zhe Gan, Yu Cheng, Ahmed Kholy, Linjie Li, Jingjing Liu, Jianfeng Gao |
https://www.aclweb.org/anthology/P19-1648.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-cnn, pre-glove, task-seqlab |
0 |
Automatically Identifying Complaints in Social Media |
Daniel Preoţiuc-Pietro, Mihaela Gaman, Nikolaos Aletras |
https://www.aclweb.org/anthology/P19-1495.pdf |
2019 |
ACL |
# reg-dropout, reg-stopping, arch-rnn, arch-lstm, arch-subword, comb-ensemble, pre-fasttext, pre-glove, struct-crf, adv-train, task-seqlab |
1 |
Adversarial Learning of Privacy-Preserving Text Representations for De-Identification of Medical Records |
Max Friedrich, Arne Köhn, Gregor Wiedemann, Chris Biemann |
https://www.aclweb.org/anthology/P19-1584.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-labelsmooth, train-transfer, arch-att, arch-selfatt, arch-copy, arch-bilinear, arch-coverage, arch-transformer, search-greedy, search-beam, pre-glove, task-spanlab, task-seq2seq, task-tree |
1 |
Complex Question Decomposition for Semantic Parsing |
Haoyu Zhang, Jingjing Cai, Jianjun Xu, Ji Wang |
https://www.aclweb.org/anthology/P19-1440.pdf |
2019 |
ACL |
# optim-projection, train-mll, arch-subword, pre-fasttext, pre-glove, task-lexicon |
4 |
Are Girls Neko or Shōjo? Cross-Lingual Alignment of Non-Isomorphic Embeddings with Iterative Normalization |
Mozhi Zhang, Keyulu Xu, Ken-ichi Kawarabayashi, Stefanie Jegelka, Jordan Boyd-Graber |
https://www.aclweb.org/anthology/P19-1307.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-stopping, train-mll, train-transfer, arch-lstm, arch-memo, pre-glove, latent-topic, task-lm, task-alignment |
1 |
Towards Automating Healthcare Question Answering in a Noisy Multilingual Low-Resource Setting |
Jeanne E. Daniel, Willie Brink, Ryan Eloff, Charles Copley |
https://www.aclweb.org/anthology/P19-1090.pdf |
2019 |
ACL |
# reg-dropout, train-mll, arch-rnn, arch-gru, arch-bigru, arch-att, arch-subword, pre-fasttext, pre-glove, task-textclass, task-lm, task-seq2seq |
1 |
Towards Integration of Statistical Hypothesis Tests into Deep Neural Networks |
Ahmad Aghaebrahimian, Mark Cieliebak |
https://www.aclweb.org/anthology/P19-1557.pdf |
2019 |
ACL |
# optim-adam, optim-projection, pre-glove, latent-vae |
3 |
Understanding Undesirable Word Embedding Associations |
Kawin Ethayarajh, David Duvenaud, Graeme Hirst |
https://www.aclweb.org/anthology/P19-1166.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-decay, norm-layer, train-augment, arch-gnn, arch-att, arch-selfatt, arch-copy, arch-transformer, search-greedy, pre-glove, pre-bert, task-textclass, task-lm, task-seq2seq, task-tree, task-graph |
2 |
Generating Logical Forms from Graph Representations of Text and Entities |
Peter Shaw, Philip Massey, Angelica Chen, Francesco Piccinno, Yasemin Altun |
https://www.aclweb.org/anthology/P19-1010.pdf |
2019 |
ACL |
# optim-sgd, optim-projection, train-transfer, arch-coverage, pre-glove, loss-svd, task-textpair |
6 |
Inferring Concept Hierarchies from Text Corpora via Hyperbolic Embeddings |
Matthew Le, Stephen Roller, Laetitia Papaxanthos, Douwe Kiela, Maximilian Nickel |
https://www.aclweb.org/anthology/P19-1313.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-lstm, arch-cnn, arch-att, arch-coverage, pre-word2vec, pre-glove, task-textclass |
2 |
From Surrogacy to Adoption; From Bitcoin to Cryptocurrency: Debate Topic Expansion |
Roy Bar-Haim, Dalia Krieger, Orith Toledo-Ronen, Lilach Edelstein, Yonatan Bilu, Alon Halfon, Yoav Katz, Amir Menczel, Ranit Aharonov, Noam Slonim |
https://www.aclweb.org/anthology/P19-1094.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-labelsmooth, arch-lstm, arch-att, arch-selfatt, arch-memo, arch-coverage, comb-ensemble, pre-glove, task-tree |
0 |
Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader |
Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang |
https://www.aclweb.org/anthology/P19-1417.pdf |
2019 |
ACL |
# reg-dropout, train-transfer, train-active, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, pre-elmo, task-textclass, task-seqlab |
1 |
The Language of Legal and Illegal Activity on the Darknet |
Leshem Choshen, Dan Eldad, Daniel Hershcovich, Elior Sulem, Omri Abend |
https://www.aclweb.org/anthology/P19-1419.pdf |
2019 |
ACL |
# optim-adam, optim-projection, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-elmo, pre-bert, task-textpair, task-lm |
20 |
What Does BERT Learn about the Structure of Language? |
Ganesh Jawahar, Benoît Sagot, Djamé Seddah |
https://www.aclweb.org/anthology/P19-1356.pdf |
2019 |
ACL |
# init-glorot, pool-mean, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, pre-elmo, task-relation |
0 |
Embedding Time Expressions for Deep Temporal Ordering Models |
Tanya Goyal, Greg Durrett |
https://www.aclweb.org/anthology/P19-1433.pdf |
2019 |
ACL |
# optim-adam, reg-stopping, pool-max, arch-lstm, arch-gru, arch-bigru, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-elmo, pre-bert, task-condlm, task-seq2seq |
1 |
Constructing Interpretive Spatio-Temporal Features for Multi-Turn Responses Selection |
Junyu Lu, Chenbin Zhang, Zeying Xie, Guang Ling, Tom Chao Zhou, Zenglin Xu |
https://www.aclweb.org/anthology/P19-1006.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-att, arch-copy, arch-coverage, comb-ensemble, search-beam, search-viterbi, pre-glove, loss-nce, task-seq2seq, task-graph |
5 |
Constrained Decoding for Neural NLG from Compositional Representations in Task-Oriented Dialogue |
Anusha Balakrishnan, Jinfeng Rao, Kartikeya Upasani, Michael White, Rajen Subba |
https://www.aclweb.org/anthology/P19-1080.pdf |
2019 |
ACL |
# train-mtl, arch-att, pre-glove, latent-vae, task-textpair |
0 |
Evidence-based Trustworthiness |
Yi Zhang, Zachary Ives, Dan Roth |
https://www.aclweb.org/anthology/P19-1040.pdf |
2019 |
ACL |
# optim-adam, arch-rnn, arch-lstm, arch-att, arch-selfatt, search-beam, pre-word2vec, pre-fasttext, pre-glove, pre-elmo, pre-bert, nondif-reinforce, task-extractive, task-lm, task-condlm, task-seq2seq, task-lexicon |
2 |
Sentence Mover’s Similarity: Automatic Evaluation for Multi-Sentence Texts |
Elizabeth Clark, Asli Celikyilmaz, Noah A. Smith |
https://www.aclweb.org/anthology/P19-1264.pdf |
2019 |
ACL |
# optim-adam, init-glorot, reg-dropout, norm-gradient, train-mtl, train-mll, pool-max, pool-mean, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, search-beam, search-viterbi, pre-glove, pre-bert, struct-crf, task-seqlab, task-lm |
3 |
GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling |
Yijin Liu, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen, Jie Zhou |
https://www.aclweb.org/anthology/P19-1233.pdf |
2019 |
ACL |
# train-transfer, arch-cnn, pre-glove, pre-bert |
0 |
Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper) |
Santiago Castro, Devamanyu Hazarika, Verónica Pérez-Rosas, Roger Zimmermann, Rada Mihalcea, Soujanya Poria |
https://www.aclweb.org/anthology/P19-1455.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-transfer, train-augment, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, pre-glove, task-spanlab, task-seq2seq |
2 |
Explicit Utilization of General Knowledge in Machine Reading Comprehension |
Chao Wang, Hui Jiang |
https://www.aclweb.org/anthology/P19-1219.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-lstm, comb-ensemble, pre-glove, latent-topic, task-condlm |
1 |
Categorizing and Inferring the Relationship between the Text and Image of Twitter Posts |
Alakananda Vempala, Daniel Preoţiuc-Pietro |
https://www.aclweb.org/anthology/P19-1272.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, pool-max, arch-att, pre-word2vec, pre-glove |
2 |
Figurative Usage Detection of Symptom Words to Improve Personal Health Mention Detection |
Adith Iyer, Aditya Joshi, Sarvnaz Karimi, Ross Sparks, Cecile Paris |
https://www.aclweb.org/anthology/P19-1108.pdf |
2019 |
ACL |
# optim-adam, optim-amsgrad, init-glorot, reg-dropout, reg-norm, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-coverage, pre-glove, struct-crf, task-relation, task-tree |
1 |
Second-Order Semantic Dependency Parsing with End-to-End Neural Networks |
Xinyu Wang, Jingxian Huang, Kewei Tu |
https://www.aclweb.org/anthology/P19-1454.pdf |
2019 |
ACL |
# train-transfer, pool-max, arch-rnn, arch-lstm, arch-att, pre-glove, adv-examp, adv-train, task-textclass |
68 |
Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency |
Shuhuai Ren, Yihe Deng, Kun He, Wanxiang Che |
https://www.aclweb.org/anthology/P19-1103.pdf |
2019 |
ACL |
# optim-adam, init-glorot, norm-batch, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-coverage, arch-transformer, pre-glove, task-textclass, task-textpair, task-lm, task-seq2seq |
4 |
Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks |
Yi Tay, Aston Zhang, Anh Tuan Luu, Jinfeng Rao, Shuai Zhang, Shuohang Wang, Jie Fu, Siu Cheung Hui |
https://www.aclweb.org/anthology/P19-1145.pdf |
2019 |
ACL |
# optim-projection, pre-word2vec, pre-glove, loss-svd, task-lm, task-seq2seq |
2 |
On the Compositionality Prediction of Noun Phrases using Poincaré Embeddings |
Abhik Jana, Dima Puzyrev, Alexander Panchenko, Pawan Goyal, Chris Biemann, Animesh Mukherjee |
https://www.aclweb.org/anthology/P19-1316.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-worddropout, reg-stopping, reg-patience, train-mtl, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-coverage, pre-glove, pre-bert, task-relation, task-tree, task-graph, task-alignment |
4 |
Compositional Semantic Parsing across Graphbanks |
Matthias Lindemann, Jonas Groschwitz, Alexander Koller |
https://www.aclweb.org/anthology/P19-1450.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, activ-relu, pool-mean, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-bilinear, arch-transformer, pre-word2vec, pre-glove, pre-bert, task-spanlab |
0 |
Open-Domain Why-Question Answering with Adversarial Learning to Encode Answer Texts |
Jong-Hoon Oh, Kazuma Kadowaki, Julien Kloetzer, Ryu Iida, Kentaro Torisawa |
https://www.aclweb.org/anthology/P19-1414.pdf |
2019 |
ACL |
# optim-projection, arch-lstm, arch-att, arch-coverage, pre-glove, task-tree |
0 |
SParC: Cross-Domain Semantic Parsing in Context |
Tao Yu, Rui Zhang, Michihiro Yasunaga, Yi Chern Tan, Xi Victoria Lin, Suyi Li, Heyang Er, Irene Li, Bo Pang, Tao Chen, Emily Ji, Shreya Dixit, David Proctor, Sungrok Shim, Jonathan Kraft, Vincent Zhang, Caiming Xiong, Richard Socher, Dragomir Radev |
https://www.aclweb.org/anthology/P19-1443.pdf |
2019 |
ACL |
# arch-rnn, arch-lstm, arch-gru, arch-att, arch-bilinear, pre-glove, loss-margin, task-textpair, task-seq2seq, task-relation |
1 |
Sentence-Level Evidence Embedding for Claim Verification with Hierarchical Attention Networks |
Jing Ma, Wei Gao, Shafiq Joty, Kam-Fai Wong |
https://www.aclweb.org/anthology/P19-1244.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, arch-lstm, arch-bilstm, arch-att, pre-glove, pre-elmo, pre-bert, struct-crf, task-textpair, task-seqlab, task-spanlab, task-seq2seq |
2 |
Augmenting Neural Networks with First-order Logic |
Tao Li, Vivek Srikumar |
https://www.aclweb.org/anthology/P19-1028.pdf |
2019 |
ACL |
# optim-adam, init-glorot, reg-dropout, reg-worddropout, reg-stopping, train-mtl, arch-rnn, arch-gru, arch-bigru, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-bert, task-textclass, task-lm, task-condlm |
1 |
Neural Legal Judgment Prediction in English |
Ilias Chalkidis, Ion Androutsopoulos, Nikolaos Aletras |
https://www.aclweb.org/anthology/P19-1424.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, norm-batch, norm-gradient, arch-lstm, arch-att, arch-coverage, pre-glove, task-textclass, task-textpair, task-seq2seq |
2 |
Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets |
Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Shiyu Chang, Mo Yu, Conghui Zhu, Tiejun Zhao |
https://www.aclweb.org/anthology/P19-1435.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, pre-elmo, struct-hmm, task-textpair, task-lm, task-seq2seq |
1 |
Knowledge-aware Pronoun Coreference Resolution |
Hongming Zhang, Yan Song, Yangqiu Song, Dong Yu |
https://www.aclweb.org/anthology/P19-1083.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-gnn, arch-cnn, arch-att, comb-ensemble, pre-glove, latent-vae |
3 |
Graph Neural Networks with Generated Parameters for Relation Extraction |
Hao Zhu, Yankai Lin, Zhiyuan Liu, Jie Fu, Tat-Seng Chua, Maosong Sun |
https://www.aclweb.org/anthology/P19-1128.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-lstm, arch-att, arch-coverage, search-beam, pre-glove, task-seq2seq |
0 |
Argument Generation with Retrieval, Planning, and Realization |
Xinyu Hua, Zhe Hu, Lu Wang |
https://www.aclweb.org/anthology/P19-1255.pdf |
2019 |
ACL |
# optim-sgd, reg-norm, train-mtl, train-mll, train-transfer, arch-lstm, arch-bilstm, search-viterbi, pre-glove, pre-elmo, struct-crf, adv-train, task-seqlab, task-lm, task-seq2seq |
0 |
Cross-Domain NER using Cross-Domain Language Modeling |
Chen Jia, Xiaobo Liang, Yue Zhang |
https://www.aclweb.org/anthology/P19-1236.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-decay, pool-max, arch-rnn, arch-cnn, arch-coverage, search-beam, pre-glove, pre-skipthought, task-textpair, task-lm |
0 |
A Cross-Domain Transferable Neural Coherence Model |
Peng Xu, Hamidreza Saghir, Jin Sung Kang, Teng Long, Avishek Joey Bose, Yanshuai Cao, Jackie Chi Kit Cheung |
https://www.aclweb.org/anthology/P19-1067.pdf |
2019 |
ACL |
# optim-adam, arch-rnn, arch-lstm, arch-gnn, arch-subword, pre-glove, task-seq2seq, meta-init |
0 |
Embedding Imputation with Grounded Language Information |
Ziyi Yang, Chenguang Zhu, Vin Sachidananda, Eric Darve |
https://www.aclweb.org/anthology/P19-1326.pdf |
2019 |
ACL |
# optim-adam, optim-adadelta, norm-gradient, train-mtl, train-transfer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-subword, arch-transformer, search-beam, pre-fasttext, pre-glove, pre-elmo, pre-bert, task-textclass, task-lm, task-seq2seq |
1 |
Gated Embeddings in End-to-End Speech Recognition for Conversational-Context Fusion |
Suyoun Kim, Siddharth Dalmia, Florian Metze |
https://www.aclweb.org/anthology/P19-1107.pdf |
2019 |
ACL |
# arch-lstm, arch-bilstm, arch-att, pre-glove, task-lm |
1 |
Complex Word Identification as a Sequence Labelling Task |
Sian Gooding, Ekaterina Kochmar |
https://www.aclweb.org/anthology/P19-1109.pdf |
2019 |
ACL |
# optim-adam, pool-max, arch-lstm, arch-att, arch-memo, pre-glove, task-textpair, task-condlm |
10 |
Dialogue Natural Language Inference |
Sean Welleck, Jason Weston, Arthur Szlam, Kyunghyun Cho |
https://www.aclweb.org/anthology/P19-1363.pdf |
2019 |
ACL |
# reg-stopping, arch-rnn, arch-lstm, arch-bilstm, arch-coverage, search-viterbi, pre-glove, pre-elmo, pre-bert, struct-crf, task-seqlab |
1 |
Towards Improving Neural Named Entity Recognition with Gazetteers |
Tianyu Liu, Jin-Ge Yao, Chin-Yew Lin |
https://www.aclweb.org/anthology/P19-1524.pdf |
2019 |
ACL |
# optim-adam, train-mll, train-transfer, arch-gru, arch-att, arch-memo, arch-transformer, pre-glove, pre-bert, task-spanlab, task-lm, task-seq2seq, task-alignment |
3 |
XQA: A Cross-lingual Open-domain Question Answering Dataset |
Jiahua Liu, Yankai Lin, Zhiyuan Liu, Maosong Sun |
https://www.aclweb.org/anthology/P19-1227.pdf |
2019 |
ACL |
# optim-adam, norm-layer, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-transformer, pre-glove, pre-skipthought, pre-bert, task-textpair, task-lm, task-tree |
0 |
Towards Lossless Encoding of Sentences |
Gabriele Prato, Mathieu Duchesneau, Sarath Chandar, Alain Tapp |
https://www.aclweb.org/anthology/P19-1153.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-patience, train-mtl, train-mll, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-gating, pre-glove, struct-crf, adv-train, loss-nce, task-textclass, task-seqlab, task-lm |
0 |
Multi-Task Networks with Universe, Group, and Task Feature Learning |
Shiva Pentyala, Mengwen Liu, Markus Dreyer |
https://www.aclweb.org/anthology/P19-1079.pdf |
2019 |
ACL |
# reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, pre-glove, task-condlm |
0 |
What You Say and How You Say It Matters: Predicting Stock Volatility Using Verbal and Vocal Cues |
Yu Qin, Yi Yang |
https://www.aclweb.org/anthology/P19-1038.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, arch-memo, pre-glove, pre-bert, task-spanlab, task-seq2seq |
4 |
Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading |
Lianhui Qin, Michel Galley, Chris Brockett, Xiaodong Liu, Xiang Gao, Bill Dolan, Yejin Choi, Jianfeng Gao |
https://www.aclweb.org/anthology/P19-1539.pdf |
2019 |
ACL |
# optim-adadelta, arch-lstm, arch-bilstm, arch-cnn, arch-transformer, pre-glove, struct-crf, task-seqlab |
4 |
Sequence-to-Nuggets: Nested Entity Mention Detection via Anchor-Region Networks |
Hongyu Lin, Yaojie Lu, Xianpei Han, Le Sun |
https://www.aclweb.org/anthology/P19-1511.pdf |
2019 |
ACL |
# optim-adam, arch-lstm, arch-gru, arch-att, arch-bilinear, pre-glove, pre-elmo, loss-margin, task-lm, task-condlm, task-seq2seq |
0 |
Multi-grained Attention with Object-level Grounding for Visual Question Answering |
Pingping Huang, Jianhui Huang, Yuqing Guo, Min Qiao, Yong Zhu |
https://www.aclweb.org/anthology/P19-1349.pdf |
2019 |
ACL |
# arch-lstm, arch-att, arch-memo, pre-glove |
2 |
Context-aware Embedding for Targeted Aspect-based Sentiment Analysis |
Bin Liang, Jiachen Du, Ruifeng Xu, Binyang Li, Hejiao Huang |
https://www.aclweb.org/anthology/P19-1462.pdf |
2019 |
ACL |
# optim-sgd, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-coverage, arch-subword, pre-word2vec, pre-glove, loss-svd, task-lm, task-seq2seq, task-lexicon, task-alignment |
0 |
A Multilingual BPE Embedding Space for Universal Sentiment Lexicon Induction |
Mengjie Zhao, Hinrich Schütze |
https://www.aclweb.org/anthology/P19-1341.pdf |
2019 |
ACL |
# reg-dropout, reg-patience, arch-rnn, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-bert, task-textclass, task-lm |
1 |
Large-Scale Multi-Label Text Classification on EU Legislation |
Ilias Chalkidis, Emmanouil Fergadiotis, Prodromos Malakasiotis, Ion Androutsopoulos |
https://www.aclweb.org/anthology/P19-1636.pdf |
2019 |
ACL |
# optim-adam, train-mtl, train-transfer, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-residual, arch-gating, arch-transformer, comb-ensemble, search-beam, pre-glove, pre-elmo, pre-bert, task-spanlab, task-lm, task-seq2seq |
5 |
Multi-style Generative Reading Comprehension |
Kyosuke Nishida, Itsumi Saito, Kosuke Nishida, Kazutoshi Shinoda, Atsushi Otsuka, Hisako Asano, Junji Tomita |
https://www.aclweb.org/anthology/P19-1220.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-patience, activ-relu, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-cnn, arch-att, comb-ensemble, pre-glove, task-textclass, task-condlm |
1 |
Multi-Modal Sarcasm Detection in Twitter with Hierarchical Fusion Model |
Yitao Cai, Huiyu Cai, Xiaojun Wan |
https://www.aclweb.org/anthology/P19-1239.pdf |
2019 |
ACL |
# optim-adam, optim-projection, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-transformer, pre-word2vec, pre-glove, pre-elmo, task-lm, task-seq2seq, task-lexicon |
0 |
LSTMEmbed: Learning Word and Sense Representations from a Large Semantically Annotated Corpus with Long Short-Term Memories |
Ignacio Iacobacci, Roberto Navigli |
https://www.aclweb.org/anthology/P19-1165.pdf |
2019 |
ACL |
# optim-sgd, optim-adagrad, train-mtl, arch-recnn, arch-cnn, arch-att, pre-glove |
1 |
Model-Agnostic Meta-Learning for Relation Classification with Limited Supervision |
Abiola Obamuyide, Andreas Vlachos |
https://www.aclweb.org/anthology/P19-1589.pdf |
2019 |
ACL |
# arch-rnn, arch-lstm, arch-gru, arch-att, arch-memo, arch-coverage, pre-glove |
13 |
MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations |
Soujanya Poria, Devamanyu Hazarika, Navonil Majumder, Gautam Naik, Erik Cambria, Rada Mihalcea |
https://www.aclweb.org/anthology/P19-1050.pdf |
2019 |
ACL |
# optim-adam, optim-adadelta, reg-dropout, reg-labelsmooth, norm-layer, train-parallel, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-residual, arch-subword, pre-glove, pre-bert, struct-crf, task-seqlab, task-spanlab, task-lm, task-seq2seq |
1 |
A Lightweight Recurrent Network for Sequence Modeling |
Biao Zhang, Rico Sennrich |
https://www.aclweb.org/anthology/P19-1149.pdf |
2019 |
ACL |
# optim-adam, optim-projection, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-gating, arch-memo, pre-glove, adv-examp, adv-train, task-spanlab |
2 |
Avoiding Reasoning Shortcuts: Adversarial Evaluation, Training, and Model Development for Multi-Hop QA |
Yichen Jiang, Mohit Bansal |
https://www.aclweb.org/anthology/P19-1262.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-gating, arch-memo, arch-bilinear, pre-glove, pre-elmo, pre-bert, task-spanlab |
3 |
Explore, Propose, and Assemble: An Interpretable Model for Multi-Hop Reading Comprehension |
Yichen Jiang, Nitish Joshi, Yen-Chun Chen, Mohit Bansal |
https://www.aclweb.org/anthology/P19-1261.pdf |
2019 |
ACL |
# optim-adagrad, reg-decay, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-selfatt, pre-glove, adv-train, task-textpair, task-seqlab |
5 |
OpenDialKG: Explainable Conversational Reasoning with Attention-based Walks over Knowledge Graphs |
Seungwhan Moon, Pararth Shah, Anuj Kumar, Rajen Subba |
https://www.aclweb.org/anthology/P19-1081.pdf |
2019 |
ACL |
# optim-adam, optim-projection, arch-lstm, arch-bilstm, arch-subword, pre-glove, pre-elmo, task-textclass, task-lm, task-relation |
2 |
Unsupervised Learning of PCFGs with Normalizing Flow |
Lifeng Jin, Finale Doshi-Velez, Timothy Miller, Lane Schwartz, William Schuler |
https://www.aclweb.org/anthology/P19-1234.pdf |
2019 |
ACL |
# reg-dropout, reg-patience, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-bilinear, pre-glove, task-textpair |
0 |
Recognising Agreement and Disagreement between Stances with Reason Comparing Networks |
Chang Xu, Cecile Paris, Surya Nepal, Ross Sparks |
https://www.aclweb.org/anthology/P19-1460.pdf |
2019 |
ACL |
# optim-adam, optim-adadelta, init-glorot, reg-dropout, norm-gradient, train-transfer, pool-max, arch-rnn, arch-lstm, arch-gnn, arch-att, arch-energy, search-beam, pre-glove, struct-crf, nondif-minrisk, task-textclass, task-seq2seq |
3 |
Joint Type Inference on Entities and Relations via Graph Convolutional Networks |
Changzhi Sun, Yeyun Gong, Yuanbin Wu, Ming Gong, Daxin Jiang, Man Lan, Shiliang Sun, Nan Duan |
https://www.aclweb.org/anthology/P19-1131.pdf |
2019 |
ACL |
# init-glorot, reg-stopping, train-mtl, arch-lstm, arch-memo, search-beam, pre-glove, latent-vae, task-seqlab, task-seq2seq, task-tree |
2 |
Controllable Paraphrase Generation with a Syntactic Exemplar |
Mingda Chen, Qingming Tang, Sam Wiseman, Kevin Gimpel |
https://www.aclweb.org/anthology/P19-1599.pdf |
2019 |
ACL |
# reg-norm, arch-att, arch-subword, pre-fasttext, pre-glove, latent-vae, latent-topic, task-textclass, task-lm |
0 |
Word and Document Embedding with vMF-Mixture Priors on Context Word Vectors |
Shoaib Jameel, Steven Schockaert |
https://www.aclweb.org/anthology/P19-1321.pdf |
2019 |
ACL |
# optim-sgd, reg-dropout, arch-lstm, arch-att, arch-selfatt, arch-copy, arch-coverage, comb-ensemble, pre-glove, task-seq2seq |
1 |
A Simple Recipe towards Reducing Hallucination in Neural Surface Realisation |
Feng Nie, Jin-Ge Yao, Jinpeng Wang, Rong Pan, Chin-Yew Lin |
https://www.aclweb.org/anthology/P19-1256.pdf |
2019 |
ACL |
# optim-adam, reg-stopping, arch-att, pre-glove |
0 |
Making Fast Graph-based Algorithms with Graph Metric Embeddings |
Andrey Kutuzov, Mohammad Dorgham, Oleksiy Oliynyk, Chris Biemann, Alexander Panchenko |
https://www.aclweb.org/anthology/P19-1325.pdf |
2019 |
ACL |
# optim-adam, train-mtl, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-copy, pre-glove, nondif-minrisk, latent-vae, task-seq2seq, task-relation |
7 |
Towards Explainable NLP: A Generative Explanation Framework for Text Classification |
Hui Liu, Qingyu Yin, William Yang Wang |
https://www.aclweb.org/anthology/P19-1560.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-decay, train-mtl, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-cnn, arch-att, pre-fasttext, pre-glove, struct-crf, task-textclass, task-seqlab, task-lm, task-seq2seq, task-relation, task-alignment |
1 |
Exploring Sequence-to-Sequence Learning in Aspect Term Extraction |
Dehong Ma, Sujian Li, Fangzhao Wu, Xing Xie, Houfeng Wang |
https://www.aclweb.org/anthology/P19-1344.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-coverage, comb-ensemble, pre-glove, pre-bert, adv-examp, adv-train, task-textpair |
17 |
Probing Neural Network Comprehension of Natural Language Arguments |
Timothy Niven, Hung-Yu Kao |
https://www.aclweb.org/anthology/P19-1459.pdf |
2019 |
ACL |
# optim-adam, reg-stopping, pool-max, pool-mean, arch-lstm, arch-bilstm, arch-att, pre-glove, latent-vae, loss-nce, task-seqlab |
0 |
Distant Learning for Entity Linking with Automatic Noise Detection |
Phong Le, Ivan Titov |
https://www.aclweb.org/anthology/P19-1400.pdf |
2019 |
ACL |
# optim-adagrad, reg-dropout, norm-layer, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-gating, arch-memo, arch-transformer, pre-glove, pre-skipthought, task-textpair, task-lm, task-seq2seq |
0 |
You Only Need Attention to Traverse Trees |
Mahtab Ahmed, Muhammad Rifayat Samee, Robert E. Mercer |
https://www.aclweb.org/anthology/P19-1030.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, arch-copy, search-beam, pre-glove, task-spanlab, task-seq2seq, task-tree |
0 |
Reinforced Dynamic Reasoning for Conversational Question Generation |
Boyuan Pan, Hao Li, Ziyu Yao, Deng Cai, Huan Sun |
https://www.aclweb.org/anthology/P19-1203.pdf |
2019 |
ACL |
# train-mtl, arch-lstm, arch-att, arch-coverage, pre-glove, task-textpair, task-spanlab |
0 |
Delta Embedding Learning |
Xiao Zhang, Ji Wu, Dejing Dou |
https://www.aclweb.org/anthology/P19-1322.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, arch-lstm, arch-bilstm, arch-att, pre-glove, adv-examp, adv-train, task-textpair, task-lm |
3 |
Don’t Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference |
Yonatan Belinkov, Adam Poliak, Stuart Shieber, Benjamin Van Durme, Alexander Rush |
https://www.aclweb.org/anthology/P19-1084.pdf |
2019 |
ACL |
# init-glorot, arch-bilinear, arch-subword, pre-fasttext, pre-glove, task-textpair, task-lm |
1 |
Exploring Numeracy in Word Embeddings |
Aakanksha Naik, Abhilasha Ravichander, Carolyn Rose, Eduard Hovy |
https://www.aclweb.org/anthology/P19-1329.pdf |
2019 |
ACL |
# optim-adagrad, reg-dropout, reg-norm, norm-gradient, train-mtl, arch-lstm, arch-bilstm, arch-treelstm, arch-gnn, arch-cnn, arch-att, arch-selfatt, pre-glove, task-seq2seq, task-graph |
0 |
Tree Communication Models for Sentiment Analysis |
Yuan Zhang, Yue Zhang |
https://www.aclweb.org/anthology/P19-1342.pdf |
2019 |
ACL |
# arch-rnn, arch-lstm, arch-bilstm, pre-glove, task-textclass |
3 |
Deep Unknown Intent Detection with Margin Loss |
Ting-En Lin, Hua Xu |
https://www.aclweb.org/anthology/P19-1548.pdf |
2019 |
ACL |
# optim-adam, init-glorot, norm-layer, train-mtl, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-elmo, pre-bert, latent-topic, task-textclass, task-lm, task-seq2seq |
0 |
Text Categorization by Learning Predominant Sense of Words as Auxiliary Task |
Kazuya Shimura, Jiyi Li, Fumiyo Fukumoto |
https://www.aclweb.org/anthology/P19-1105.pdf |
2019 |
ACL |
# optim-sgd, train-mll, arch-lstm, arch-recnn, arch-att, pre-glove, task-lm |
3 |
Modeling Semantic Compositionality with Sememe Knowledge |
Fanchao Qi, Junjie Huang, Chenghao Yang, Zhiyuan Liu, Xiao Chen, Qun Liu, Maosong Sun |
https://www.aclweb.org/anthology/P19-1571.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mtl, arch-lstm, arch-bilstm, arch-cnn, arch-att, pre-glove, pre-paravec, pre-bert, task-relation |
1 |
Multi-Task Learning for Coherence Modeling |
Youmna Farag, Helen Yannakoudakis |
https://www.aclweb.org/anthology/P19-1060.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, reg-stopping, reg-patience, train-active, arch-lstm, arch-cnn, arch-att, arch-transformer, pre-glove, pre-bert, struct-cfg, adv-train, latent-vae, latent-topic, task-textclass, task-lm |
1 |
Variational Pretraining for Semi-supervised Text Classification |
Suchin Gururangan, Tam Dang, Dallas Card, Noah A. Smith |
https://www.aclweb.org/anthology/P19-1590.pdf |
2019 |
ACL |
# reg-dropout, reg-stopping, arch-att, pre-word2vec, pre-glove, latent-vae, task-seqlab |
1 |
Boosting Entity Linking Performance by Leveraging Unlabeled Documents |
Phong Le, Ivan Titov |
https://www.aclweb.org/anthology/P19-1187.pdf |
2019 |
ACL |
# reg-decay, arch-lstm, arch-att, arch-selfatt, comb-ensemble, pre-glove, pre-elmo, pre-bert, task-textclass, task-textpair, task-lm, task-seq2seq, task-tree |
8 |
Explain Yourself! Leveraging Language Models for Commonsense Reasoning |
Nazneen Fatema Rajani, Bryan McCann, Caiming Xiong, Richard Socher |
https://www.aclweb.org/anthology/P19-1487.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-stopping, train-mtl, train-transfer, arch-lstm, pre-glove, pre-skipthought, pre-elmo, task-textclass, task-textpair, task-lm, task-seq2seq |
0 |
Encouraging Paragraph Embeddings to Remember Sentence Identity Improves Classification |
Tu Vu, Mohit Iyyer |
https://www.aclweb.org/anthology/P19-1638.pdf |
2019 |
ACL |
# optim-adam, arch-rnn, arch-gru, arch-att, arch-selfatt, arch-memo, arch-transformer, pre-glove, pre-bert, nondif-reinforce, task-spanlab |
1 |
Episodic Memory Reader: Learning What to Remember for Question Answering from Streaming Data |
Moonsu Han, Minki Kang, Hyunwoo Jung, Sung Ju Hwang |
https://www.aclweb.org/anthology/P19-1434.pdf |
2019 |
ACL |
# arch-rnn, arch-att, pre-word2vec, pre-fasttext, pre-glove, task-textclass, task-lm, task-condlm, task-seq2seq |
3 |
VIFIDEL: Evaluating the Visual Fidelity of Image Descriptions |
Pranava Madhyastha, Josiah Wang, Lucia Specia |
https://www.aclweb.org/anthology/P19-1654.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, train-mll, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-subword, arch-transformer, comb-ensemble, pre-fasttext, pre-glove, pre-elmo, pre-bert, struct-crf, adv-train, task-textclass, task-seqlab, task-lm, task-seq2seq |
1 |
Sequence Tagging with Contextual and Non-Contextual Subword Representations: A Multilingual Evaluation |
Benjamin Heinzerling, Michael Strube |
https://www.aclweb.org/anthology/P19-1027.pdf |
2019 |
ACL |
# init-glorot, arch-lstm, arch-att, arch-selfatt, arch-bilinear, pre-word2vec, pre-glove, pre-elmo, task-textclass, task-seqlab, task-spanlab, task-lm, task-seq2seq, task-relation |
5 |
Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks |
Shikhar Vashishth, Manik Bhandari, Prateek Yadav, Piyush Rai, Chiranjib Bhattacharyya, Partha Talukdar |
https://www.aclweb.org/anthology/P19-1320.pdf |
2019 |
ACL |
# pre-glove, latent-vae, latent-topic, task-textclass |
0 |
Leveraging Meta Information in Short Text Aggregation |
He Zhao, Lan Du, Guanfeng Liu, Wray Buntine |
https://www.aclweb.org/anthology/P19-1396.pdf |
2019 |
ACL |
# optim-adam, arch-lstm, comb-ensemble, pre-fasttext, pre-glove, pre-elmo, pre-bert, adv-examp, task-textclass, task-textpair, task-lm |
14 |
HellaSwag: Can a Machine Really Finish Your Sentence? |
Rowan Zellers, Ari Holtzman, Yonatan Bisk, Ali Farhadi, Yejin Choi |
https://www.aclweb.org/anthology/P19-1472.pdf |
2019 |
ACL |
# optim-adam, train-augment, arch-lstm, arch-cnn, arch-att, comb-ensemble, search-greedy, search-beam, pre-glove, task-condlm, task-seq2seq, task-tree |
2 |
Are You Looking? Grounding to Multiple Modalities in Vision-and-Language Navigation |
Ronghang Hu, Daniel Fried, Anna Rohrbach, Dan Klein, Trevor Darrell, Kate Saenko |
https://www.aclweb.org/anthology/P19-1655.pdf |
2019 |
ACL |
# train-mtl, pool-mean, arch-rnn, arch-lstm, arch-att, arch-transformer, pre-word2vec, pre-glove, pre-bert, task-textclass, task-textpair, task-extractive, task-seq2seq |
3 |
Searching for Effective Neural Extractive Summarization: What Works and What’s Next |
Ming Zhong, Pengfei Liu, Danqing Wang, Xipeng Qiu, Xuanjing Huang |
https://www.aclweb.org/anthology/P19-1100.pdf |
2019 |
ACL |
# arch-coverage, pre-glove, task-textpair, task-relation |
1 |
SP-10K: A Large-scale Evaluation Set for Selectional Preference Acquisition |
Hongming Zhang, Hantian Ding, Yangqiu Song |
https://www.aclweb.org/anthology/P19-1071.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, train-augment, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-coverage, search-beam, pre-glove, pre-bert, latent-vae, task-textclass, task-textpair, task-spanlab, task-lm, task-seq2seq |
0 |
A Cross-Sentence Latent Variable Model for Semi-Supervised Text Sequence Matching |
Jihun Choi, Taeuk Kim, Sang-goo Lee |
https://www.aclweb.org/anthology/P19-1469.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mll, train-augment, pool-max, pool-mean, arch-rnn, arch-lstm, arch-att, arch-copy, arch-bilinear, arch-coverage, arch-subword, search-greedy, search-beam, pre-glove, pre-bert, latent-vae, task-seq2seq, task-relation, task-tree, task-graph |
7 |
AMR Parsing as Sequence-to-Graph Transduction |
Sheng Zhang, Xutai Ma, Kevin Duh, Benjamin Van Durme |
https://www.aclweb.org/anthology/P19-1009.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, pre-glove, pre-elmo, task-textpair, task-seq2seq, task-relation, task-tree |
0 |
An Empirical Study of Span Representations in Argumentation Structure Parsing |
Tatsuki Kuribayashi, Hiroki Ouchi, Naoya Inoue, Paul Reisert, Toshinori Miyoshi, Jun Suzuki, Kentaro Inui |
https://www.aclweb.org/anthology/P19-1464.pdf |
2019 |
ACL |
# optim-adam, norm-gradient, arch-gru, arch-cnn, arch-att, arch-memo, search-beam, pre-glove, latent-vae, task-seq2seq |
1 |
Are Training Samples Correlated? Learning to Generate Dialogue Responses with Multiple References |
Lisong Qiu, Juntao Li, Wei Bi, Dongyan Zhao, Rui Yan |
https://www.aclweb.org/anthology/P19-1372.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, train-mll, train-transfer, pool-max, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-subword, pre-word2vec, pre-fasttext, pre-glove, pre-skipthought, pre-elmo, pre-bert, loss-svd, task-textclass, task-lm |
0 |
Self-Attentive, Multi-Context One-Class Classification for Unsupervised Anomaly Detection on Text |
Lukas Ruff, Yury Zemlyanskiy, Robert Vandermeulen, Thomas Schnake, Marius Kloft |
https://www.aclweb.org/anthology/P19-1398.pdf |
2019 |
ACL |
# optim-adam, optim-adadelta, reg-dropout, pool-max, arch-rnn, arch-gru, arch-bigru, arch-att, arch-selfatt, arch-memo, search-beam, pre-glove, pre-elmo, pre-bert, task-textpair, task-spanlab, task-seq2seq |
4 |
Multi-Hop Paragraph Retrieval for Open-Domain Question Answering |
Yair Feldman, Ran El-Yaniv |
https://www.aclweb.org/anthology/P19-1222.pdf |
2019 |
ACL |
# reg-stopping, train-transfer, arch-rnn, arch-att, pre-glove, pre-bert, task-spanlab, task-lm, task-tree |
12 |
MultiQA: An Empirical Investigation of Generalization and Transfer in Reading Comprehension |
Alon Talmor, Jonathan Berant |
https://www.aclweb.org/anthology/P19-1485.pdf |
2019 |
ACL |
# train-mll, pre-glove, task-seqlab, task-seq2seq |
1 |
Collocation Classification with Unsupervised Relation Vectors |
Luis Espinosa Anke, Steven Schockaert, Leo Wanner |
https://www.aclweb.org/anthology/P19-1576.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, norm-gradient, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-memo, search-beam, pre-glove, pre-elmo, task-spanlab |
2 |
Exploiting Explicit Paths for Multi-hop Reading Comprehension |
Souvik Kundu, Tushar Khot, Ashish Sabharwal, Peter Clark |
https://www.aclweb.org/anthology/P19-1263.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-att, pre-glove, task-textclass, task-seq2seq |
0 |
Progressive Self-Supervised Attention Learning for Aspect-Level Sentiment Analysis |
Jialong Tang, Ziyao Lu, Jinsong Su, Yubin Ge, Linfeng Song, Le Sun, Jiebo Luo |
https://www.aclweb.org/anthology/P19-1053.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-residual, arch-copy, pre-glove, task-lm, task-seq2seq |
4 |
EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing |
Yue Dong, Zichao Li, Mehdi Rezagholizadeh, Jackie Chi Kit Cheung |
https://www.aclweb.org/anthology/P19-1331.pdf |
2019 |
ACL |
# arch-att, arch-selfatt, arch-subword, arch-transformer, pre-fasttext, pre-glove, pre-bert, latent-topic, task-lm |
0 |
Context-specific Language Modeling for Human Trafficking Detection from Online Advertisements |
Saeideh Shahrokh Esfahani, Michael J. Cafarella, Maziyar Baran Pouyan, Gregory DeAngelo, Elena Eneva, Andy E. Fano |
https://www.aclweb.org/anthology/P19-1114.pdf |
2019 |
ACL |
# optim-adam, optim-projection, train-mtl, train-transfer, arch-lstm, arch-coverage, pre-word2vec, pre-glove, pre-elmo, pre-bert, task-textclass, task-lm, task-cloze |
0 |
Topic Sensitive Attention on Generic Corpora Corrects Sense Bias in Pretrained Embeddings |
Vihari Piratla, Sunita Sarawagi, Soumen Chakrabarti |
https://www.aclweb.org/anthology/P19-1168.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-labelsmooth, train-transfer, activ-relu, pool-max, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-coverage, pre-glove, pre-bert, latent-topic, task-textpair, task-lm, task-seq2seq |
2 |
Zero-shot Word Sense Disambiguation using Sense Definition Embeddings |
Sawan Kumar, Sharmistha Jat, Karan Saxena, Partha Talukdar |
https://www.aclweb.org/anthology/P19-1568.pdf |
2019 |
ACL |
# optim-adam, reg-norm, train-mtl, train-mll, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-transformer, pre-glove, pre-skipthought, pre-elmo, pre-bert, loss-svd, task-textclass, task-textpair, task-lm |
0 |
EigenSent: Spectral sentence embeddings using higher-order Dynamic Mode Decomposition |
Subhradeep Kayal, George Tsatsaronis |
https://www.aclweb.org/anthology/P19-1445.pdf |
2019 |
ACL |
# arch-lstm, arch-bilstm, arch-att, arch-transformer, pre-word2vec, pre-fasttext, pre-glove, pre-elmo, pre-bert, task-textpair, task-lm, task-cloze |
3 |
Classification and Clustering of Arguments with Contextualized Word Embeddings |
Nils Reimers, Benjamin Schiller, Tilman Beck, Johannes Daxenberger, Christian Stab, Iryna Gurevych |
https://www.aclweb.org/anthology/P19-1054.pdf |
2019 |
ACL |
# optim-adam, optim-projection, init-glorot, pool-max, arch-rnn, arch-lstm, arch-treelstm, arch-cnn, arch-att, arch-selfatt, arch-memo, pre-glove, task-condlm, task-seq2seq |
6 |
Attention Guided Graph Convolutional Networks for Relation Extraction |
Zhijiang Guo, Yan Zhang, Wei Lu |
https://www.aclweb.org/anthology/P19-1024.pdf |
2019 |
ACL |
# train-transfer, arch-cnn, pre-glove, task-textclass, task-seqlab |
8 |
Celebrity Profiling |
Matti Wiegmann, Benno Stein, Martin Potthast |
https://www.aclweb.org/anthology/P19-1249.pdf |
2019 |
ACL |
# optim-adam, train-mll, arch-rnn, comb-ensemble, pre-word2vec, pre-glove, task-seq2seq |
0 |
Course Concept Expansion in MOOCs with External Knowledge and Interactive Game |
Jifan Yu, Chenyu Wang, Gan Luo, Lei Hou, Juanzi Li, Zhiyuan Liu, Jie Tang |
https://www.aclweb.org/anthology/P19-1421.pdf |
2019 |
ACL |
# optim-adam, init-glorot, reg-norm, arch-cnn, arch-att, arch-energy, pre-glove |
0 |
Unsupervised Information Extraction: Regularizing Discriminative Approaches with Relation Distribution Losses |
Étienne Simon, Vincent Guigue, Benjamin Piwowarski |
https://www.aclweb.org/anthology/P19-1133.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, reg-dropout, pool-max, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-gnn, arch-cnn, arch-att, arch-memo, pre-glove, task-textpair |
1 |
Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification |
Zhi-Xiu Ye, Zhen-Hua Ling |
https://www.aclweb.org/anthology/P19-1277.pdf |
2019 |
ACL |
# arch-coverage, pre-word2vec, pre-glove, pre-bert, latent-topic, task-textclass, task-lm, task-graph |
0 |
Towards Unsupervised Text Classification Leveraging Experts and Word Embeddings |
Zied Haj-Yahia, Adrien Sieg, Léa A. Deleris |
https://www.aclweb.org/anthology/P19-1036.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-transfer, train-active, pool-max, pool-mean, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-gating, arch-subword, pre-fasttext, pre-glove, task-lm, task-seq2seq |
1 |
Low-resource Deep Entity Resolution with Transfer and Active Learning |
Jungo Kasai, Kun Qian, Sairam Gurajada, Yunyao Li, Lucian Popa |
https://www.aclweb.org/anthology/P19-1586.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, init-glorot, reg-dropout, reg-patience, train-mtl, train-mll, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, arch-gating, search-viterbi, pre-glove, struct-crf, adv-examp, task-seqlab, task-lm, task-seq2seq |
1 |
Sentiment Tagging with Partial Labels using Modular Architectures |
Xiao Zhang, Dan Goldwasser |
https://www.aclweb.org/anthology/P19-1055.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-att, arch-selfatt, arch-bilinear, pre-glove, pre-elmo, pre-bert, struct-crf, task-seq2seq, task-relation |
3 |
A Unified Linear-Time Framework for Sentence-Level Discourse Parsing |
Xiang Lin, Shafiq Joty, Prathyusha Jwalapuram, M Saiful Bari |
https://www.aclweb.org/anthology/P19-1410.pdf |
2019 |
ACL |
# optim-adagrad, init-glorot, norm-gradient, pool-max, arch-lstm, arch-att, arch-selfatt, arch-bilinear, pre-glove, task-textclass, task-seq2seq |
1 |
Evaluating Discourse in Structured Text Representations |
Elisa Ferracane, Greg Durrett, Junyi Jessy Li, Katrin Erk |
https://www.aclweb.org/anthology/P19-1062.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-treelstm, arch-cnn, arch-memo, arch-copy, pre-glove, task-relation |
4 |
GraphRel: Modeling Text as Relational Graphs for Joint Entity and Relation Extraction |
Tsu-Jui Fu, Peng-Hsuan Li, Wei-Yun Ma |
https://www.aclweb.org/anthology/P19-1136.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, arch-transformer, pre-word2vec, pre-glove, pre-bert, adv-feat, task-seq2seq |
1 |
Gender-preserving Debiasing for Pre-trained Word Embeddings |
Masahiro Kaneko, Danushka Bollegala |
https://www.aclweb.org/anthology/P19-1160.pdf |
2019 |
ACL |
# pre-word2vec, pre-glove |
0 |
Twitter Homophily: Network Based Prediction of User’s Occupation |
Jiaqi Pan, Rishabh Bhardwaj, Wei Lu, Hai Leong Chieu, Xinghao Pan, Ni Yi Puay |
https://www.aclweb.org/anthology/P19-1252.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, init-glorot, reg-dropout, reg-stopping, reg-patience, arch-lstm, arch-coverage, comb-ensemble, pre-fasttext, pre-glove, task-textclass, task-seq2seq |
0 |
Unraveling Antonym’s Word Vectors through a Siamese-like Network |
Mathias Etcheverry, Dina Wonsever |
https://www.aclweb.org/anthology/P19-1319.pdf |
2019 |
ACL |
# train-augment, train-parallel, arch-rnn, arch-att, arch-selfatt, arch-copy, arch-transformer, pre-glove, pre-bert, task-seqlab, task-spanlab, task-lm, task-seq2seq, task-relation |
0 |
Self-Attention Architectures for Answer-Agnostic Neural Question Generation |
Thomas Scialom, Benjamin Piwowarski, Jacopo Staiano |
https://www.aclweb.org/anthology/P19-1604.pdf |
2019 |
ACL |
# optim-adam, optim-projection, init-glorot, arch-lstm, arch-cnn, arch-att, arch-coverage, pre-glove, pre-elmo, task-lm, task-relation |
1 |
Revisiting Joint Modeling of Cross-document Entity and Event Coreference Resolution |
Shany Barhom, Vered Shwartz, Alon Eirew, Michael Bugert, Nils Reimers, Ido Dagan |
https://www.aclweb.org/anthology/P19-1409.pdf |
2019 |
EMNLP |
# optim-adam, train-mtl, train-mll, arch-lstm, arch-bilstm, arch-att, arch-subword, arch-transformer, comb-ensemble, pre-glove, pre-elmo, pre-bert, latent-vae, task-textclass, task-seq2seq |
0 |
Modelling the interplay of metaphor and emotion through multitask learning |
Verna Dankers, Marek Rei, Martha Lewis, Ekaterina Shutova |
https://www.aclweb.org/anthology/D19-1227.pdf |
2019 |
EMNLP |
# reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, pre-glove, pre-elmo, pre-bert, struct-crf, task-seqlab, task-lm, task-seq2seq |
0 |
ner and pos when nothing is capitalized |
Stephen Mayhew, Tatiana Tsygankova, Dan Roth |
https://www.aclweb.org/anthology/D19-1650.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, train-transfer, train-augment, arch-rnn, arch-lstm, arch-att, search-beam, pre-glove, pre-bert, task-lm, task-seq2seq |
0 |
Robust Navigation with Language Pretraining and Stochastic Sampling |
Xiujun Li, Chunyuan Li, Qiaolin Xia, Yonatan Bisk, Asli Celikyilmaz, Jianfeng Gao, Noah A. Smith, Yejin Choi |
https://www.aclweb.org/anthology/D19-1159.pdf |
2019 |
EMNLP |
# train-transfer, arch-rnn, arch-lstm, arch-att, arch-subword, arch-transformer, search-beam, pre-fasttext, pre-glove, pre-bert, task-textclass, task-lm, task-seq2seq |
0 |
“Transforming” Delete, Retrieve, Generate Approach for Controlled Text Style Transfer |
Akhilesh Sudhakar, Bhargav Upadhyay, Arjun Maheswaran |
https://www.aclweb.org/anthology/D19-1322.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-bilinear, arch-coverage, comb-ensemble, pre-fasttext, pre-glove, pre-elmo, pre-bert, task-lm, task-relation, task-tree |
0 |
Syntax-aware Multilingual Semantic Role Labeling |
Shexia He, Zuchao Li, Hai Zhao |
https://www.aclweb.org/anthology/D19-1538.pdf |
2019 |
EMNLP |
# reg-dropout, train-augment, pool-max, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-coverage, arch-transformer, pre-glove, task-textclass |
0 |
Improving Relation Extraction with Knowledge-attention |
Pengfei Li, Kezhi Mao, Xuefeng Yang, Qi Li |
https://www.aclweb.org/anthology/D19-1022.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, pre-glove, pre-elmo, pre-bert, latent-vae, task-spanlab |
0 |
Answering questions by learning to rank - Learning to rank by answering questions |
George Sebastian Pirtoaca, Traian Rebedea, Stefan Ruseti |
https://www.aclweb.org/anthology/D19-1256.pdf |
2019 |
EMNLP |
# optim-adam, reg-norm, train-mll, train-transfer, arch-rnn, arch-lstm, arch-att, arch-subword, pre-fasttext, pre-glove, pre-bert, latent-topic, task-textclass, task-lm, task-seq2seq, task-lexicon |
0 |
Cross-Cultural Transfer Learning for Text Classification |
Dor Ringel, Gal Lavee, Ido Guy, Kira Radinsky |
https://www.aclweb.org/anthology/D19-1400.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-att, pre-word2vec, pre-fasttext, pre-glove, latent-topic, task-textclass, task-lm |
0 |
Latent Suicide Risk Detection on Microblog via Suicide-Oriented Word Embeddings and Layered Attention |
Lei Cao, Huijun Zhang, Ling Feng, Zihan Wei, Xin Wang, Ningyun Li, Xiaohao He |
https://www.aclweb.org/anthology/D19-1181.pdf |
2019 |
EMNLP |
# optim-adam, train-augment, arch-cnn, arch-att, arch-selfatt, pre-glove, adv-examp, adv-train, task-textclass, task-seqlab, task-lm |
2 |
Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation |
Po-Sen Huang, Robert Stanforth, Johannes Welbl, Chris Dyer, Dani Yogatama, Sven Gowal, Krishnamurthy Dvijotham, Pushmeet Kohli |
https://www.aclweb.org/anthology/D19-1419.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, arch-lstm, arch-att, arch-selfatt, comb-ensemble, pre-glove, task-condlm |
5 |
Dual Attention Networks for Visual Reference Resolution in Visual Dialog |
Gi-Cheon Kang, Jaeseo Lim, Byoung-Tak Zhang |
https://www.aclweb.org/anthology/D19-1209.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, train-mtl, pool-max, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-memo, pre-glove, pre-bert, struct-crf, task-lm, task-seq2seq |
0 |
A Novel Aspect-Guided Deep Transition Model for Aspect Based Sentiment Analysis |
Yunlong Liang, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen, Jie Zhou |
https://www.aclweb.org/anthology/D19-1559.pdf |
2019 |
EMNLP |
# reg-dropout, arch-lstm, arch-att, arch-selfatt, arch-coverage, pre-glove, pre-elmo, pre-bert, loss-svd, task-lm |
0 |
Detect Camouflaged Spam Content via StoneSkipping: Graph and Text Joint Embedding for Chinese Character Variation Representation |
Zhuoren Jiang, Zhe Gao, Guoxiu He, Yangyang Kang, Changlong Sun, Qiong Zhang, Luo Si, Xiaozhong Liu |
https://www.aclweb.org/anthology/D19-1640.pdf |
2019 |
EMNLP |
# optim-adam, reg-stopping, pool-max, comb-ensemble, pre-glove, task-textclass |
0 |
Delta-training: Simple Semi-Supervised Text Classification using Pretrained Word Embeddings |
Hwiyeol Jo, Ceyda Cinarel |
https://www.aclweb.org/anthology/D19-1347.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-bilinear, search-greedy, search-beam, pre-word2vec, pre-glove, loss-svd, task-seq2seq |
0 |
Low-Rank HOCA: Efficient High-Order Cross-Modal Attention for Video Captioning |
Tao Jin, Siyu Huang, Yingming Li, Zhongfei Zhang |
https://www.aclweb.org/anthology/D19-1207.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-stopping, reg-norm, reg-decay, arch-lstm, arch-bilstm, arch-bilinear, pre-word2vec, pre-glove, pre-elmo, pre-bert, task-lm, task-seq2seq, task-relation |
1 |
Designing and Interpreting Probes with Control Tasks |
John Hewitt, Percy Liang |
https://www.aclweb.org/anthology/D19-1275.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-cnn, pre-glove, struct-crf, latent-vae, task-lm |
0 |
Learning with Noisy Labels for Sentence-level Sentiment Classification |
Hao Wang, Bing Liu, Chaozhuo Li, Yan Yang, Tianrui Li |
https://www.aclweb.org/anthology/D19-1655.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, pool-max, arch-lstm, arch-att, arch-selfatt, pre-glove, task-spanlab |
0 |
Ranking and Sampling in Open-Domain Question Answering |
Yanfu Xu, Zheng Lin, Yuanxin Liu, Rui Liu, Weiping Wang, Dan Meng |
https://www.aclweb.org/anthology/D19-1245.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-att, arch-coverage, comb-ensemble, search-beam, pre-glove, task-lm, task-tree |
0 |
Span-based Hierarchical Semantic Parsing for Task-Oriented Dialog |
Panupong Pasupat, Sonal Gupta, Karishma Mandyam, Rushin Shah, Mike Lewis, Luke Zettlemoyer |
https://www.aclweb.org/anthology/D19-1163.pdf |
2019 |
EMNLP |
# optim-adam, reg-decay, train-transfer, arch-rnn, arch-att, arch-selfatt, arch-memo, arch-subword, arch-transformer, pre-word2vec, pre-glove, pre-elmo, pre-bert, loss-nce, task-textpair, task-alignment |
0 |
A Gated Self-attention Memory Network for Answer Selection |
Tuan Lai, Quan Hung Tran, Trung Bui, Daisuke Kihara |
https://www.aclweb.org/anthology/D19-1610.pdf |
2019 |
EMNLP |
# optim-adagrad, reg-norm, arch-rnn, arch-lstm, arch-bilstm, arch-gnn, arch-att, arch-bilinear, pre-glove, task-textclass, task-relation, task-tree |
0 |
Event Representation Learning Enhanced with External Commonsense Knowledge |
Xiao Ding, Kuo Liao, Ting Liu, Zhongyang Li, Junwen Duan |
https://www.aclweb.org/anthology/D19-1495.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, reg-dropout, arch-lstm, arch-cnn, arch-subword, pre-word2vec, pre-fasttext, pre-glove, pre-elmo, pre-bert |
0 |
An Improved Neural Baseline for Temporal Relation Extraction |
Qiang Ning, Sanjay Subramanian, Dan Roth |
https://www.aclweb.org/anthology/D19-1642.pdf |
2019 |
EMNLP |
# optim-adam, train-mll, train-augment, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, pre-word2vec, pre-glove, pre-elmo, pre-bert, task-textpair, task-spanlab, task-lm, task-tree |
0 |
Do NLP Models Know Numbers? Probing Numeracy in Embeddings |
Eric Wallace, Yizhong Wang, Sujian Li, Sameer Singh, Matt Gardner |
https://www.aclweb.org/anthology/D19-1534.pdf |
2019 |
EMNLP |
# reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-bert, task-lm |
1 |
Quantity doesn’t buy quality syntax with neural language models |
Marten van Schijndel, Aaron Mueller, Tal Linzen |
https://www.aclweb.org/anthology/D19-1592.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-bilinear, search-viterbi, pre-glove, pre-elmo, struct-crf, task-seqlab, task-condlm |
0 |
Phrase Grounding by Soft-Label Chain Conditional Random Field |
Jiacheng Liu, Julia Hockenmaier |
https://www.aclweb.org/anthology/D19-1515.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, train-mtl, train-mll, train-active, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-bilinear, arch-transformer, search-viterbi, pre-glove, struct-crf, adv-train, task-textclass, task-seqlab, task-lm, task-seq2seq, task-relation |
0 |
Hierarchically-Refined Label Attention Network for Sequence Labeling |
Leyang Cui, Yue Zhang |
https://www.aclweb.org/anthology/D19-1422.pdf |
2019 |
EMNLP |
# reg-stopping, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, pre-elmo, pre-bert, task-textclass, task-textpair, task-spanlab, task-lm, meta-arch |
1 |
Show Your Work: Improved Reporting of Experimental Results |
Jesse Dodge, Suchin Gururangan, Dallas Card, Roy Schwartz, Noah A. Smith |
https://www.aclweb.org/anthology/D19-1224.pdf |
2019 |
EMNLP |
# optim-adam, pool-max, arch-cnn, arch-att, pre-glove, task-textclass |
0 |
Human-grounded Evaluations of Explanation Methods for Text Classification |
Piyawat Lertvittayakumjorn, Francesca Toni |
https://www.aclweb.org/anthology/D19-1523.pdf |
2019 |
EMNLP |
# reg-dropout, arch-lstm, arch-bilstm, arch-att, pre-glove |
0 |
Improving Fine-grained Entity Typing with Entity Linking |
Hongliang Dai, Donghong Du, Xin Li, Yangqiu Song |
https://www.aclweb.org/anthology/D19-1643.pdf |
2019 |
EMNLP |
# arch-rnn, arch-coverage, pre-fasttext, pre-glove, task-textpair |
0 |
Identifying and Explaining Discriminative Attributes |
Armins Stepanjans, André Freitas |
https://www.aclweb.org/anthology/D19-1440.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, arch-coverage, pre-glove, pre-bert, task-textpair |
0 |
Evaluating BERT for natural language inference: A case study on the CommitmentBank |
Nanjiang Jiang, Marie-Catherine de Marneffe |
https://www.aclweb.org/anthology/D19-1630.pdf |
2019 |
EMNLP |
# optim-adam, arch-lstm, arch-bilstm, arch-att, pre-glove, pre-bert, latent-vae, task-seq2seq, task-tree |
0 |
Data-Anonymous Encoding for Text-to-SQL Generation |
Zhen Dong, Shizhao Sun, Hongzhi Liu, Jian-Guang Lou, Dongmei Zhang |
https://www.aclweb.org/anthology/D19-1543.pdf |
2019 |
EMNLP |
# reg-dropout, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-elmo, pre-bert, task-textclass, task-lm |
0 |
DENS: A Dataset for Multi-class Emotion Analysis |
Chen Liu, Muhammad Osama, Anderson De Andrade |
https://www.aclweb.org/anthology/D19-1656.pdf |
2019 |
EMNLP |
# optim-sgd, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-subword, search-viterbi, pre-word2vec, pre-glove, pre-elmo, struct-crf, latent-vae, task-textpair, task-lm, task-seq2seq |
0 |
A Regularization Approach for Incorporating Event Knowledge and Coreference Relations into Neural Discourse Parsing |
Zeyu Dai, Ruihong Huang |
https://www.aclweb.org/anthology/D19-1295.pdf |
2019 |
EMNLP |
# optim-projection, arch-rnn, arch-att, arch-selfatt, arch-memo, arch-copy, arch-coverage, arch-transformer, pre-glove, pre-bert, task-seq2seq |
0 |
Generating Questions for Knowledge Bases via Incorporating Diversified Contexts and Answer-Aware Loss |
Cao Liu, Kang Liu, Shizhu He, Zaiqing Nie, Jun Zhao |
https://www.aclweb.org/anthology/D19-1247.pdf |
2019 |
EMNLP |
# reg-dropout, arch-rnn, arch-lstm, arch-att, arch-copy, pre-glove, task-seq2seq |
0 |
Referring Expression Generation Using Entity Profiles |
Meng Cao, Jackie Chi Kit Cheung |
https://www.aclweb.org/anthology/D19-1312.pdf |
2019 |
EMNLP |
# pre-glove, pre-skipthought, pre-elmo, task-seq2seq, task-tree |
0 |
Split or Merge: Which is Better for Unsupervised RST Parsing? |
Naoki Kobayashi, Tsutomu Hirao, Kengo Nakamura, Hidetaka Kamigaito, Manabu Okumura, Masaaki Nagata |
https://www.aclweb.org/anthology/D19-1587.pdf |
2019 |
EMNLP |
# reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, pre-elmo, pre-bert, latent-vae, task-textpair, task-spanlab, task-seq2seq, task-tree, task-graph |
0 |
Don’t paraphrase, detect! Rapid and Effective Data Collection for Semantic Parsing |
Jonathan Herzig, Jonathan Berant |
https://www.aclweb.org/anthology/D19-1394.pdf |
2019 |
EMNLP |
# reg-dropout, reg-labelsmooth, train-mtl, train-mll, train-augment, pool-mean, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-coverage, search-greedy, search-beam, pre-glove, pre-bert, task-seq2seq, task-relation, task-tree, task-graph |
2 |
Broad-Coverage Semantic Parsing as Transduction |
Sheng Zhang, Xutai Ma, Kevin Duh, Benjamin Van Durme |
https://www.aclweb.org/anthology/D19-1392.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-copy, arch-coverage, search-beam, pre-glove, latent-vae, task-spanlab, task-seq2seq |
1 |
Incorporating External Knowledge into Machine Reading for Generative Question Answering |
Bin Bi, Chen Wu, Ming Yan, Wei Wang, Jiangnan Xia, Chenliang Li |
https://www.aclweb.org/anthology/D19-1255.pdf |
2019 |
EMNLP |
# arch-lstm, arch-att, pre-glove, pre-elmo, pre-bert, task-textpair, task-spanlab, task-lm, task-tree |
1 |
“Going on a vacation” takes longer than “Going for a walk”: A Study of Temporal Commonsense Understanding |
Ben Zhou, Daniel Khashabi, Qiang Ning, Dan Roth |
https://www.aclweb.org/anthology/D19-1332.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, arch-lstm, arch-att, arch-coverage, comb-ensemble, search-beam, pre-glove, latent-vae, task-seq2seq, task-tree, task-graph |
0 |
Learning Semantic Parsers from Denotations with Latent Structured Alignments and Abstract Programs |
Bailin Wang, Ivan Titov, Mirella Lapata |
https://www.aclweb.org/anthology/D19-1391.pdf |
2019 |
EMNLP |
# optim-adagrad, arch-rnn, arch-lstm, pre-word2vec, pre-glove, task-textpair, task-seq2seq, task-relation |
0 |
Bridging the Defined and the Defining: Exploiting Implicit Lexical Semantic Relations in Definition Modeling |
Koki Washio, Satoshi Sekine, Tsuneaki Kato |
https://www.aclweb.org/anthology/D19-1357.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-stopping, norm-gradient, train-transfer, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-att, pre-glove, task-seq2seq, task-tree |
0 |
Data Augmentation with Atomic Templates for Spoken Language Understanding |
Zijian Zhao, Su Zhu, Kai Yu |
https://www.aclweb.org/anthology/D19-1375.pdf |
2019 |
EMNLP |
# train-mll, arch-att, search-greedy, pre-word2vec, pre-fasttext, pre-glove, task-textclass, task-lm, task-seq2seq |
2 |
On Efficient Retrieval of Top Similarity Vectors |
Shulong Tan, Zhixin Zhou, Zhaozhuo Xu, Ping Li |
https://www.aclweb.org/anthology/D19-1527.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-memo, arch-bilinear, pre-glove, struct-crf, loss-cca, task-seqlab, task-condlm, task-seq2seq, task-relation |
0 |
Partners in Crime: Multi-view Sequential Inference for Movie Understanding |
Nikos Papasarantopoulos, Lea Frermann, Mirella Lapata, Shay B. Cohen |
https://www.aclweb.org/anthology/D19-1212.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, arch-rnn, arch-lstm, arch-gru, arch-gating, arch-coverage, arch-transformer, pre-glove, adv-train, latent-vae, task-seq2seq, task-tree |
6 |
An End-to-End Generative Architecture for Paraphrase Generation |
Qian Yang, Zhouyuan Huo, Dinghan Shen, Yong Cheng, Wenlin Wang, Guoyin Wang, Lawrence Carin |
https://www.aclweb.org/anthology/D19-1309.pdf |
2019 |
EMNLP |
# optim-adam, optim-adadelta, arch-lstm, arch-bilstm, arch-att, arch-bilinear, search-beam, pre-glove, task-spanlab, task-lm |
0 |
Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text |
Bhavana Dalvi, Niket Tandon, Antoine Bosselut, Wen-tau Yih, Peter Clark |
https://www.aclweb.org/anthology/D19-1457.pdf |
2019 |
EMNLP |
# arch-rnn, arch-cnn, pre-glove |
0 |
Learning to Bootstrap for Entity Set Expansion |
Lingyong Yan, Xianpei Han, Le Sun, Ben He |
https://www.aclweb.org/anthology/D19-1028.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, arch-cnn, arch-att, arch-coverage, arch-transformer, pre-glove, pre-skipthought, pre-bert, task-spanlab, task-lm, task-relation, task-tree |
0 |
Linking artificial and human neural representations of language |
Jon Gauthier, Roger Levy |
https://www.aclweb.org/anthology/D19-1050.pdf |
2019 |
EMNLP |
# optim-sgd, reg-dropout, pool-mean, arch-lstm, arch-bilstm, arch-att, arch-coverage, arch-subword, pre-fasttext, pre-glove, pre-elmo, pre-bert, task-textpair, task-lm |
1 |
Incorporating Domain Knowledge into Medical NLI using Knowledge Graphs |
Soumya Sharma, Bishal Santra, Abhik Jana, Santosh Tokala, Niloy Ganguly, Pawan Goyal |
https://www.aclweb.org/anthology/D19-1631.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, reg-dropout, norm-gradient, train-transfer, pool-max, pool-mean, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-memo, search-viterbi, pre-glove, pre-bert, struct-crf, task-seqlab, task-lm, task-seq2seq |
0 |
CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding |
Yijin Liu, Fandong Meng, Jinchao Zhang, Jie Zhou, Yufeng Chen, Jinan Xu |
https://www.aclweb.org/anthology/D19-1097.pdf |
2019 |
EMNLP |
# optim-adam, arch-lstm, arch-transformer, pre-fasttext, pre-glove, pre-elmo, pre-bert, task-lm |
0 |
How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 Embeddings |
Kawin Ethayarajh |
https://www.aclweb.org/anthology/D19-1006.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-birnn, arch-lstm, arch-gru, arch-coverage, pre-glove, pre-bert, struct-crf, task-textclass |
0 |
Detecting Causal Language Use in Science Findings |
Bei Yu, Yingya Li, Jun Wang |
https://www.aclweb.org/anthology/D19-1473.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-cnn, arch-att, arch-copy, arch-coverage, pre-glove, pre-bert, task-textpair, task-spanlab, task-seq2seq |
1 |
Better Rewards Yield Better Summaries: Learning to Summarise Without References |
Florian Böhm, Yang Gao, Christian M. Meyer, Ori Shapira, Ido Dagan, Iryna Gurevych |
https://www.aclweb.org/anthology/D19-1307.pdf |
2019 |
EMNLP |
# optim-adam, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, pre-elmo, task-condlm, task-seq2seq |
0 |
What You See is What You Get: Visual Pronoun Coreference Resolution in Dialogues |
Xintong Yu, Hongming Zhang, Yangqiu Song, Yan Song, Changshui Zhang |
https://www.aclweb.org/anthology/D19-1516.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, pre-glove, task-relation |
0 |
ABSApp: A Portable Weakly-Supervised Aspect-Based Sentiment Extraction System |
Oren Pereg, Daniel Korat, Moshe Wasserblat, Jonathan Mamou, Ido Dagan |
https://www.aclweb.org/anthology/D19-3001.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, norm-layer, train-mtl, train-mll, arch-subword, pre-word2vec, pre-fasttext, pre-glove, pre-skipthought, pre-elmo, loss-svd, task-textpair, task-seq2seq |
0 |
Parameter-free Sentence Embedding via Orthogonal Basis |
Ziyi Yang, Chenguang Zhu, Weizhu Chen |
https://www.aclweb.org/anthology/D19-1059.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, train-mll, arch-rnn, arch-lstm, arch-att, arch-copy, comb-ensemble, pre-glove, latent-vae, task-relation, task-tree, task-graph, task-lexicon |
0 |
Semantic graph parsing with recurrent neural network DAG grammars |
Federico Fancellu, Sorcha Gilroy, Adam Lopez, Mirella Lapata |
https://www.aclweb.org/anthology/D19-1278.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, reg-dropout, train-mtl, train-mll, train-transfer, train-augment, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, arch-copy, pre-glove, pre-elmo, pre-bert, adv-train, task-spanlab, task-lm, task-seq2seq |
2 |
Adversarial Domain Adaptation for Machine Reading Comprehension |
Huazheng Wang, Zhe Gan, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Hongning Wang |
https://www.aclweb.org/anthology/D19-1254.pdf |
2019 |
EMNLP |
# reg-dropout, train-transfer, pool-max, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-cnn, arch-att, pre-glove, task-relation |
0 |
Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction |
Qinyuan Ye, Liyuan Liu, Maosen Zhang, Xiang Ren |
https://www.aclweb.org/anthology/D19-1397.pdf |
2019 |
EMNLP |
# reg-stopping, train-mtl, train-active, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, search-viterbi, pre-glove, pre-elmo, pre-bert, struct-hmm, struct-crf, task-seqlab, task-lm, task-seq2seq |
0 |
Similarity Based Auxiliary Classifier for Named Entity Recognition |
Shiyuan Xiao, Yuanxin Ouyang, Wenge Rong, Jianxin Yang, Zhang Xiong |
https://www.aclweb.org/anthology/D19-1105.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-att, arch-transformer, pre-glove, task-textclass, task-seq2seq |
0 |
Robust Text Classifier on Test-Time Budgets |
Md Rizwan Parvez, Tolga Bolukbasi, Kai-Wei Chang, Venkatesh Saligrama |
https://www.aclweb.org/anthology/D19-1108.pdf |
2019 |
EMNLP |
# optim-sgd, pre-word2vec, pre-glove, pre-elmo, pre-bert, task-textpair, task-lm, task-seq2seq, task-relation |
0 |
Multiplex Word Embeddings for Selectional Preference Acquisition |
Hongming Zhang, Jiaxin Bai, Yan Song, Kun Xu, Changlong Yu, Yangqiu Song, Wilfred Ng, Dong Yu |
https://www.aclweb.org/anthology/D19-1528.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-gru, arch-bigru, arch-att, arch-selfatt, pre-glove, task-textpair |
0 |
Modeling the Relationship between User Comments and Edits in Document Revision |
Xuchao Zhang, Dheeraj Rajagopal, Michael Gamon, Sujay Kumar Jauhar, ChangTien Lu |
https://www.aclweb.org/anthology/D19-1505.pdf |
2019 |
EMNLP |
# optim-adam, train-mll, arch-rnn, arch-lstm, arch-bilstm, pre-glove, pre-bert, loss-cca, task-seq2seq |
0 |
Dialog Intent Induction with Deep Multi-View Clustering |
Hugh Perkins, Yi Yang |
https://www.aclweb.org/anthology/D19-1413.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-treelstm, arch-cnn, arch-att, arch-selfatt, arch-subword, pre-glove, task-textclass, task-seq2seq |
0 |
Investigating Dynamic Routing in Tree-Structured LSTM for Sentiment Analysis |
Jin Wang, Liang-Chih Yu, K. Robert Lai, Xuejie Zhang |
https://www.aclweb.org/anthology/D19-1343.pdf |
2019 |
EMNLP |
# optim-adam, optim-adagrad, norm-layer, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-transformer, search-beam, pre-glove, pre-paravec, adv-train, latent-topic, task-textpair, task-extractive, task-spanlab, task-lm, task-condlm, task-seq2seq |
0 |
Topic-Guided Coherence Modeling for Sentence Ordering by Preserving Global and Local Information |
Byungkook Oh, Seungmin Seo, Cheolheon Shin, Eunju Jo, Kyong-Ho Lee |
https://www.aclweb.org/anthology/D19-1232.pdf |
2019 |
EMNLP |
# train-parallel, comb-ensemble, pre-word2vec, pre-glove, pre-bert, task-condlm |
0 |
Grounding learning of modifier dynamics: An application to color naming |
Xudong Han, Philip Schulz, Trevor Cohn |
https://www.aclweb.org/anthology/D19-1158.pdf |
2019 |
EMNLP |
# optim-adam, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-att, arch-copy, arch-coverage, comb-ensemble, pre-glove, pre-elmo, pre-bert, latent-vae, task-seq2seq, task-tree |
0 |
Data-Efficient Goal-Oriented Conversation with Dialogue Knowledge Transfer Networks |
Igor Shalyminov, Sungjin Lee, Arash Eshghi, Oliver Lemon |
https://www.aclweb.org/anthology/D19-1183.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, reg-dropout, reg-decay, train-mtl, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-gnn, arch-att, pre-fasttext, pre-glove, task-textclass |
0 |
Text Level Graph Neural Network for Text Classification |
Lianzhe Huang, Dehong Ma, Sujian Li, Xiaodong Zhang, Houfeng Wang |
https://www.aclweb.org/anthology/D19-1345.pdf |
2019 |
EMNLP |
# optim-adam, reg-decay, pool-max, arch-gcnn, arch-cnn, arch-att, pre-glove, task-textclass, task-condlm, task-seq2seq |
0 |
Hierarchical Text Classification with Reinforced Label Assignment |
Yuning Mao, Jingjing Tian, Jiawei Han, Xiang Ren |
https://www.aclweb.org/anthology/D19-1042.pdf |
2019 |
EMNLP |
# arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-coverage, arch-subword, pre-word2vec, pre-fasttext, pre-glove, pre-elmo, pre-bert, latent-topic, task-textclass, task-lm, task-seq2seq |
0 |
Game Theory Meets Embeddings: a Unified Framework for Word Sense Disambiguation |
Rocco Tripodi, Roberto Navigli |
https://www.aclweb.org/anthology/D19-1009.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, train-mtl, train-mll, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-glove, pre-elmo, pre-bert, latent-vae, task-spanlab, task-lm, task-seq2seq |
2 |
Knowledge Enhanced Contextual Word Representations |
Matthew E. Peters, Mark Neumann, Robert Logan, Roy Schwartz, Vidur Joshi, Sameer Singh, Noah A. Smith |
https://www.aclweb.org/anthology/D19-1005.pdf |
2019 |
EMNLP |
# optim-adam, train-transfer, arch-lstm, arch-att, arch-selfatt, comb-ensemble, pre-glove, pre-skipthought, pre-elmo, loss-nce, task-textclass, task-lm, task-cloze |
0 |
Multi-Granularity Representations of Dialog |
Shikib Mehri, Maxine Eskenazi |
https://www.aclweb.org/anthology/D19-1184.pdf |
2019 |
EMNLP |
# reg-dropout, train-active, arch-lstm, arch-cnn, arch-att, arch-coverage, pre-glove, task-textclass |
1 |
Reporting the Unreported: Event Extraction for Analyzing the Local Representation of Hate Crimes |
Aida Mostafazadeh Davani, Leigh Yeh, Mohammad Atari, Brendan Kennedy, Gwenyth Portillo Wightman, Elaine Gonzalez, Natalie Delong, Rhea Bhatia, Arineh Mirinjian, Xiang Ren, Morteza Dehghani |
https://www.aclweb.org/anthology/D19-1580.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-copy, pre-glove, pre-bert, nondif-reinforce, task-textclass, task-seq2seq, task-relation, task-tree |
0 |
A Split-and-Recombine Approach for Follow-up Query Analysis |
Qian Liu, Bei Chen, Haoyan Liu, Jian-Guang Lou, Lei Fang, Bin Zhou, Dongmei Zhang |
https://www.aclweb.org/anthology/D19-1535.pdf |
2019 |
EMNLP |
# optim-adam, pool-mean, arch-lstm, arch-bilstm, pre-glove, struct-crf |
0 |
Neural Conversation Recommendation with Online Interaction Modeling |
Xingshan Zeng, Jing Li, Lu Wang, Kam-Fai Wong |
https://www.aclweb.org/anthology/D19-1470.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, norm-layer, pool-max, pool-mean, arch-lstm, arch-bilstm, arch-att, arch-coverage, comb-ensemble, pre-fasttext, pre-glove, task-textpair, task-condlm |
0 |
Asynchronous Deep Interaction Network for Natural Language Inference |
Di Liang, Fubao Zhang, Qi Zhang, Xuanjing Huang |
https://www.aclweb.org/anthology/D19-1271.pdf |
2019 |
EMNLP |
# train-mll, arch-lstm, arch-cnn, arch-att, arch-memo, pre-glove, pre-elmo, pre-bert, task-textclass, task-textpair, task-lm, task-seq2seq |
1 |
EntEval: A Holistic Evaluation Benchmark for Entity Representations |
Mingda Chen, Zewei Chu, Yang Chen, Karl Stratos, Kevin Gimpel |
https://www.aclweb.org/anthology/D19-1040.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, reg-dropout, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-memo, pre-glove, pre-bert, latent-vae |
0 |
Transfer Learning Between Related Tasks Using Expected Label Proportions |
Matan Ben Noach, Yoav Goldberg |
https://www.aclweb.org/anthology/D19-1004.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, norm-batch, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, pre-word2vec, pre-glove, task-textclass, task-seq2seq |
0 |
Sequential Learning of Convolutional Features for Effective Text Classification |
Avinash Madasu, Vijjini Anvesh Rao |
https://www.aclweb.org/anthology/D19-1567.pdf |
2019 |
EMNLP |
# optim-adam, reg-stopping, arch-lstm, arch-bilstm, arch-gru, arch-att, pre-fasttext, pre-glove, pre-bert, task-textclass, task-lm, task-seq2seq |
1 |
The Role of Pragmatic and Discourse Context in Determining Argument Impact |
Esin Durmus, Faisal Ladhak, Claire Cardie |
https://www.aclweb.org/anthology/D19-1568.pdf |
2019 |
EMNLP |
# optim-adagrad, arch-rnn, arch-lstm, arch-att, pre-glove, struct-crf, loss-nce, task-lm, task-seq2seq |
0 |
Linguistic Versus Latent Relations for Modeling Coherent Flow in Paragraphs |
Dongyeop Kang, Eduard Hovy |
https://www.aclweb.org/anthology/D19-1589.pdf |
2019 |
EMNLP |
# train-mll, arch-lstm, arch-bilstm, arch-att, arch-transformer, pre-glove, pre-elmo, pre-bert, task-seq2seq |
2 |
Evaluating Pronominal Anaphora in Machine Translation: An Evaluation Measure and a Test Suite |
Prathyusha Jwalapuram, Shafiq Joty, Irina Temnikova, Preslav Nakov |
https://www.aclweb.org/anthology/D19-1294.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, init-glorot, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-copy, search-beam, pre-glove, task-spanlab, task-seq2seq |
0 |
Improving Question Generation With to the Point Context |
Jingjing Li, Yifan Gao, Lidong Bing, Irwin King, Michael R. Lyu |
https://www.aclweb.org/anthology/D19-1317.pdf |
2019 |
EMNLP |
# optim-adam, reg-decay, arch-rnn, arch-gru, arch-att, pre-glove, task-seq2seq |
0 |
Who Is Speaking to Whom? Learning to Identify Utterance Addressee in Multi-Party Conversations |
Ran Le, Wenpeng Hu, Mingyue Shang, Zhenjun You, Lidong Bing, Dongyan Zhao, Rui Yan |
https://www.aclweb.org/anthology/D19-1199.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, init-glorot, train-mll, train-active, train-augment, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-copy, pre-glove, pre-elmo, pre-bert, task-seq2seq, task-tree, task-graph, task-alignment |
0 |
Translate and Label! An Encoder-Decoder Approach for Cross-lingual Semantic Role Labeling |
Angel Daza, Anette Frank |
https://www.aclweb.org/anthology/D19-1056.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, train-mtl, arch-gru, arch-att, arch-copy, pre-glove, task-seq2seq |
0 |
GECOR: An End-to-End Generative Ellipsis and Co-reference Resolution Model for Task-Oriented Dialogue |
Jun Quan, Deyi Xiong, Bonnie Webber, Changjian Hu |
https://www.aclweb.org/anthology/D19-1462.pdf |
2019 |
EMNLP |
# optim-adadelta, reg-dropout, reg-stopping, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, arch-subword, pre-glove, latent-topic, task-textclass, task-lm, task-seq2seq |
0 |
Rethinking Attribute Representation and Injection for Sentiment Classification |
Reinald Kim Amplayo |
https://www.aclweb.org/anthology/D19-1562.pdf |
2019 |
EMNLP |
# optim-adadelta, reg-stopping, pool-max, pool-mean, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-word2vec, pre-fasttext, pre-glove, pre-bert, task-textclass, task-seq2seq |
0 |
Enhancing Local Feature Extraction with Global Representation for Neural Text Classification |
Guocheng Niu, Hengru Xu, Bolei He, Xinyan Xiao, Hua Wu, Sheng Gao |
https://www.aclweb.org/anthology/D19-1047.pdf |
2019 |
EMNLP |
# optim-adam, pre-glove, pre-bert, task-textpair, task-spanlab |
3 |
Towards Debiasing Fact Verification Models |
Tal Schuster, Darsh Shah, Yun Jie Serene Yeo, Daniel Roberto Filizzola Ortiz, Enrico Santus, Regina Barzilay |
https://www.aclweb.org/anthology/D19-1341.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, init-glorot, reg-dropout, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-transformer, comb-ensemble, pre-glove, adv-train, latent-topic, task-textclass, task-seq2seq |
0 |
Adaptive Ensembling: Unsupervised Domain Adaptation for Political Document Analysis |
Shrey Desai, Barea Sinno, Alex Rosenfeld, Junyi Jessy Li |
https://www.aclweb.org/anthology/D19-1478.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, train-mtl, arch-lstm, arch-bilstm, arch-att, pre-glove, struct-crf |
0 |
Revealing and Predicting Online Persuasion Strategy with Elementary Units |
Gaku Morio, Ryo Egawa, Katsuhide Fujita |
https://www.aclweb.org/anthology/D19-1653.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-stopping, reg-patience, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, arch-bilinear, arch-transformer, pre-glove |
0 |
Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs |
Fenia Christopoulou, Makoto Miwa, Sophia Ananiadou |
https://www.aclweb.org/anthology/D19-1498.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-norm, pool-max, arch-rnn, arch-birnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-memo, pre-glove, task-textclass, task-seq2seq |
1 |
Capsule Network with Interactive Attention for Aspect-Level Sentiment Classification |
Chunning Du, Haifeng Sun, Jingyu Wang, Qi Qi, Jianxin Liao, Tong Xu, Ming Liu |
https://www.aclweb.org/anthology/D19-1551.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-att, arch-subword, pre-fasttext, pre-glove, pre-elmo, pre-bert, loss-nce, task-textclass, task-textpair, task-lm, task-cloze |
0 |
Multi-label Categorization of Accounts of Sexism using a Neural Framework |
Pulkit Parikh, Harika Abburi, Pinkesh Badjatiya, Radhika Krishnan, Niyati Chhaya, Manish Gupta, Vasudeva Varma |
https://www.aclweb.org/anthology/D19-1174.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, pool-max, arch-rnn, arch-lstm, arch-gru, arch-gcnn, arch-cnn, arch-att, arch-memo, pre-glove |
1 |
DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation |
Deepanway Ghosal, Navonil Majumder, Soujanya Poria, Niyati Chhaya, Alexander Gelbukh |
https://www.aclweb.org/anthology/D19-1015.pdf |
2019 |
EMNLP |
# optim-adam, train-mtl, train-mll, pool-max, arch-subword, arch-transformer, pre-word2vec, pre-fasttext, pre-glove, pre-elmo, pre-bert, latent-vae, task-textclass, task-textpair, task-seq2seq |
0 |
Correlations between Word Vector Sets |
Vitalii Zhelezniak, April Shen, Daniel Busbridge, Aleksandar Savkov, Nils Hammerla |
https://www.aclweb.org/anthology/D19-1008.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-bilstm, arch-treelstm, arch-cnn, arch-att, arch-residual, arch-coverage, pre-glove, task-textpair, task-lm, task-relation, task-tree |
0 |
Incorporating Contextual and Syntactic Structures Improves Semantic Similarity Modeling |
Linqing Liu, Wei Yang, Jinfeng Rao, Raphael Tang, Jimmy Lin |
https://www.aclweb.org/anthology/D19-1114.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-gru, arch-cnn, pre-glove, pre-bert, task-textclass, task-lm, task-seq2seq, meta-arch |
1 |
RNN Architecture Learning with Sparse Regularization |
Jesse Dodge, Roy Schwartz, Hao Peng, Noah A. Smith |
https://www.aclweb.org/anthology/D19-1110.pdf |
2019 |
EMNLP |
# optim-projection, train-mtl, arch-cnn, arch-att, arch-coverage, arch-subword, arch-transformer, comb-ensemble, pre-word2vec, pre-fasttext, pre-glove, pre-skipthought, pre-elmo, pre-bert, task-textclass, task-textpair, task-spanlab, task-lm, task-cloze |
9 |
Patient Knowledge Distillation for BERT Model Compression |
Siqi Sun, Yu Cheng, Zhe Gan, Jingjing Liu |
https://www.aclweb.org/anthology/D19-1441.pdf |
2019 |
EMNLP |
# optim-adam, reg-stopping, reg-patience, arch-lstm, arch-att, arch-bilinear, arch-subword, pre-word2vec, pre-fasttext, pre-glove, task-textpair, task-seqlab, task-lm, task-relation, task-tree |
0 |
LINSPECTOR WEB: A Multilingual Probing Suite for Word Representations |
Max Eichler, Gözde Gül Şahin, Iryna Gurevych |
https://www.aclweb.org/anthology/D19-3022.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, arch-att, arch-coverage, arch-subword, pre-word2vec, pre-glove |
0 |
Feature2Vec: Distributional semantic modelling of human property knowledge |
Steven Derby, Paul Miller, Barry Devereux |
https://www.aclweb.org/anthology/D19-1595.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, pre-glove, task-condlm, task-seq2seq, task-relation |
0 |
Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks |
Chen Zhang, Qiuchi Li, Dawei Song |
https://www.aclweb.org/anthology/D19-1464.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-att, pre-glove, pre-skipthought, pre-elmo, pre-use, adv-train, task-textpair, task-seqlab, task-lm, task-seq2seq |
0 |
IMaT: Unsupervised Text Attribute Transfer via Iterative Matching and Translation |
Zhijing Jin, Di Jin, Jonas Mueller, Nicholas Matthews, Enrico Santus |
https://www.aclweb.org/anthology/D19-1306.pdf |
2019 |
EMNLP |
# optim-projection, train-transfer, arch-lstm, arch-att, arch-coverage, pre-glove, pre-bert, task-textpair, task-lm, task-condlm |
0 |
Do Nuclear Submarines Have Nuclear Captains? A Challenge Dataset for Commonsense Reasoning over Adjectives and Objects |
James Mullenbach, Jonathan Gordon, Nanyun Peng, Jonathan May |
https://www.aclweb.org/anthology/D19-1625.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, pre-elmo, pre-bert, latent-vae, task-textclass, task-textpair, task-spanlab, task-lm |
0 |
Quick and (not so) Dirty: Unsupervised Selection of Justification Sentences for Multi-hop Question Answering |
Vikas Yadav, Steven Bethard, Mihai Surdeanu |
https://www.aclweb.org/anthology/D19-1260.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, norm-gradient, arch-lstm, arch-att, arch-memo, arch-subword, search-beam, pre-glove, pre-bert, nondif-reinforce, task-lm, task-seq2seq |
0 |
Recommendation as a Communication Game: Self-Supervised Bot-Play for Goal-oriented Dialogue |
Dongyeop Kang, Anusha Balakrishnan, Pararth Shah, Paul Crook, Y-Lan Boureau, Jason Weston |
https://www.aclweb.org/anthology/D19-1203.pdf |
2019 |
EMNLP |
# optim-adam, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-gating, pre-glove, adv-train, task-textpair, task-spanlab, meta-arch |
3 |
Self-Assembling Modular Networks for Interpretable Multi-Hop Reasoning |
Yichen Jiang, Mohit Bansal |
https://www.aclweb.org/anthology/D19-1455.pdf |
2019 |
EMNLP |
# optim-adam, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, arch-memo, arch-transformer, pre-glove, pre-bert, task-seq2seq |
0 |
A Challenge Dataset and Effective Models for Aspect-Based Sentiment Analysis |
Qingnan Jiang, Lei Chen, Ruifeng Xu, Xiang Ao, Min Yang |
https://www.aclweb.org/anthology/D19-1654.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, train-mll, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-bilinear, arch-subword, arch-transformer, comb-ensemble, search-greedy, search-beam, pre-word2vec, pre-fasttext, pre-glove, pre-elmo, pre-bert, task-lm, task-seq2seq, task-relation |
0 |
Deep Contextualized Word Embeddings in Transition-Based and Graph-Based Dependency Parsing - A Tale of Two Parsers Revisited |
Artur Kulmizev, Miryam de Lhoneux, Johannes Gontrum, Elena Fano, Joakim Nivre |
https://www.aclweb.org/anthology/D19-1277.pdf |
2019 |
EMNLP |
# optim-adagrad, reg-patience, arch-lstm, arch-gru, arch-att, arch-memo, pre-glove |
0 |
Recognizing Conflict Opinions in Aspect-level Sentiment Classification with Dual Attention Networks |
Xingwei Tan, Yi Cai, Changxi Zhu |
https://www.aclweb.org/anthology/D19-1342.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-gru, arch-att, pre-glove, task-seq2seq |
0 |
Deep Reinforcement Learning-based Text Anonymization against Private-Attribute Inference |
Ahmadreza Mosallanezhad, Ghazaleh Beigi, Huan Liu |
https://www.aclweb.org/anthology/D19-1240.pdf |
2019 |
EMNLP |
# optim-adam, train-parallel, arch-lstm, arch-att, pre-glove, pre-bert, loss-nce, task-textclass, task-seqlab, task-seq2seq |
0 |
(Male, Bachelor) and (Female, Ph.D) have different connotations: Parallelly Annotated Stylistic Language Dataset with Multiple Personas |
Dongyeop Kang, Varun Gangal, Eduard Hovy |
https://www.aclweb.org/anthology/D19-1179.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, optim-adagrad, optim-projection, reg-dropout, train-mll, arch-rnn, arch-cnn, arch-bilinear, arch-subword, pre-fasttext, pre-glove, task-textclass, task-lm, task-lexicon |
0 |
Cross-lingual Semantic Specialization via Lexical Relation Induction |
Edoardo Maria Ponti, Ivan Vulić, Goran Glavaš, Roi Reichart, Anna Korhonen |
https://www.aclweb.org/anthology/D19-1226.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, norm-gradient, pool-max, arch-rnn, arch-gru, arch-att, arch-memo, search-beam, pre-glove, latent-vae, task-lm, task-seq2seq |
0 |
Hierarchy Response Learning for Neural Conversation Generation |
Bo Zhang, Xiaoming Zhang |
https://www.aclweb.org/anthology/D19-1186.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, train-mll, arch-lstm, arch-att, pre-glove, task-seqlab, task-seq2seq, task-relation, task-tree |
0 |
A Pilot Study for Chinese SQL Semantic Parsing |
Qingkai Min, Yuefeng Shi, Yue Zhang |
https://www.aclweb.org/anthology/D19-1377.pdf |
2019 |
EMNLP |
# optim-adam, reg-stopping, reg-patience, train-transfer, train-active, arch-lstm, arch-bilstm, comb-ensemble, pre-glove, pre-elmo, adv-examp, adv-train, task-lm |
0 |
To Annotate or Not? Predicting Performance Drop under Domain Shift |
Hady Elsahar, Matthias Gallé |
https://www.aclweb.org/anthology/D19-1222.pdf |
2019 |
EMNLP |
# optim-adam, norm-layer, pool-max, pool-mean, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-transformer, pre-glove, pre-bert, latent-topic, task-lm, task-seq2seq |
1 |
Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations |
Peixiang Zhong, Di Wang, Chunyan Miao |
https://www.aclweb.org/anthology/D19-1016.pdf |
2019 |
EMNLP |
# arch-lstm, arch-bilstm, arch-att, pre-glove, pre-bert, struct-hmm, struct-crf, task-textclass, task-seqlab, task-lm |
1 |
Multi-Input Multi-Output Sequence Labeling for Joint Extraction of Fact and Condition Tuples from Scientific Text |
Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh Chawla, Meng Jiang |
https://www.aclweb.org/anthology/D19-1029.pdf |
2019 |
EMNLP |
# optim-adam, train-mll, arch-lstm, arch-gating, pre-glove, loss-margin, task-seq2seq |
0 |
Jointly Learning Entity and Relation Representations for Entity Alignment |
Yuting Wu, Xiao Liu, Yansong Feng, Zheng Wang, Dongyan Zhao |
https://www.aclweb.org/anthology/D19-1023.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-gnn, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-transformer, pre-glove, pre-bert, task-seq2seq, task-graph |
0 |
Enhancing AMR-to-Text Generation with Dual Graph Representations |
Leonardo F. R. Ribeiro, Claire Gardent, Iryna Gurevych |
https://www.aclweb.org/anthology/D19-1314.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, pre-word2vec, pre-glove |
0 |
Exploring Human Gender Stereotypes with Word Association Test |
Yupei Du, Yuanbin Wu, Man Lan |
https://www.aclweb.org/anthology/D19-1635.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, activ-tanh, arch-lstm, arch-gru, arch-cnn, arch-att, arch-memo, pre-glove, pre-bert, task-lm, task-seq2seq, task-relation |
1 |
Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks |
Binxuan Huang, Kathleen Carley |
https://www.aclweb.org/anthology/D19-1549.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, norm-batch, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-transformer, pre-fasttext, pre-glove, pre-use, task-textclass, task-textpair, task-lm, task-condlm, task-seq2seq |
0 |
Semantic Relatedness Based Re-ranker for Text Spotting |
Ahmed Sabir, Francesc Moreno, Lluís Padró |
https://www.aclweb.org/anthology/D19-1346.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, train-mll, arch-att, arch-subword, arch-transformer, comb-ensemble, search-viterbi, pre-fasttext, pre-glove, struct-crf, task-seqlab, task-lm, task-seq2seq, task-lexicon |
0 |
Hierarchical Meta-Embeddings for Code-Switching Named Entity Recognition |
Genta Indra Winata, Zhaojiang Lin, Jamin Shin, Zihan Liu, Pascale Fung |
https://www.aclweb.org/anthology/D19-1360.pdf |
2019 |
EMNLP |
# optim-adadelta, optim-projection, reg-dropout, arch-rnn, arch-gru, arch-att, pre-glove, struct-crf, task-textclass, task-seq2seq |
0 |
Predicting Discourse Structure using Distant Supervision from Sentiment |
Patrick Huber, Giuseppe Carenini |
https://www.aclweb.org/anthology/D19-1235.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, train-transfer, train-active, arch-lstm, arch-bilstm, arch-cnn, search-beam, pre-word2vec, pre-glove, struct-crf, task-textclass, task-seqlab |
2 |
Practical Obstacles to Deploying Active Learning |
David Lowell, Zachary C. Lipton, Byron C. Wallace |
https://www.aclweb.org/anthology/D19-1003.pdf |
2019 |
EMNLP |
# optim-projection, reg-dropout, train-mtl, train-transfer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-transformer, pre-word2vec, pre-glove, pre-elmo, pre-bert, task-textclass, task-textpair, task-lm, task-seq2seq |
0 |
Shallow Domain Adaptive Embeddings for Sentiment Analysis |
Prathusha K Sarma, Yingyu Liang, William Sethares |
https://www.aclweb.org/anthology/D19-1557.pdf |
2019 |
EMNLP |
# optim-sgd, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-copy, pre-glove, pre-bert, task-spanlab, task-seq2seq |
0 |
ParaQG: A System for Generating Questions and Answers from Paragraphs |
Vishwajeet Kumar, Sivaanandh Muneeswaran, Ganesh Ramakrishnan, Yuan-Fang Li |
https://www.aclweb.org/anthology/D19-3030.pdf |
2019 |
EMNLP |
# optim-adam, pool-max, arch-att, arch-bilinear, pre-glove, pre-bert, task-textclass, task-spanlab, task-lm, task-seq2seq |
3 |
Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning |
Lifu Huang, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi |
https://www.aclweb.org/anthology/D19-1243.pdf |
2019 |
EMNLP |
# train-active, arch-att, pre-glove, pre-bert, task-lm, task-seq2seq |
1 |
Automatic Argument Quality Assessment - New Datasets and Methods |
Assaf Toledo, Shai Gretz, Edo Cohen-Karlik, Roni Friedman, Elad Venezian, Dan Lahav, Michal Jacovi, Ranit Aharonov, Noam Slonim |
https://www.aclweb.org/anthology/D19-1564.pdf |
2019 |
EMNLP |
# pre-word2vec, pre-glove, task-lm |
0 |
Single Training Dimension Selection for Word Embedding with PCA |
Yu Wang |
https://www.aclweb.org/anthology/D19-1369.pdf |
2019 |
EMNLP |
# optim-adam, arch-lstm, arch-cnn, arch-coverage, pre-glove, struct-cfg, task-lm |
0 |
What Gets Echoed? Understanding the “Pointers” in Explanations of Persuasive Arguments |
David Atkinson, Kumar Bhargav Srinivasan, Chenhao Tan |
https://www.aclweb.org/anthology/D19-1289.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, reg-stopping, train-augment, arch-rnn, arch-lstm, arch-cnn, arch-att, pre-glove, adv-examp, adv-train, task-textpair, task-lm, task-seq2seq |
2 |
Certified Robustness to Adversarial Word Substitutions |
Robin Jia, Aditi Raghunathan, Kerem Göksel, Percy Liang |
https://www.aclweb.org/anthology/D19-1423.pdf |
2019 |
EMNLP |
# reg-dropout, train-mtl, arch-lstm, arch-att, arch-copy, arch-bilinear, arch-coverage, arch-transformer, search-beam, pre-glove, task-lm, task-seq2seq, task-graph |
0 |
Sentence-Level Content Planning and Style Specification for Neural Text Generation |
Xinyu Hua, Lu Wang |
https://www.aclweb.org/anthology/D19-1055.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, train-augment, arch-lstm, arch-gnn, arch-att, arch-selfatt, arch-copy, arch-coverage, pre-glove, pre-bert, task-seq2seq, task-tree |
0 |
Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions |
Rui Zhang, Tao Yu, Heyang Er, Sungrok Shim, Eric Xue, Xi Victoria Lin, Tianze Shi, Caiming Xiong, Richard Socher, Dragomir Radev |
https://www.aclweb.org/anthology/D19-1537.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, reg-dropout, train-mtl, arch-lstm, arch-att, pre-glove, latent-vae, latent-topic, task-seq2seq |
0 |
Coupling Global and Local Context for Unsupervised Aspect Extraction |
Ming Liao, Jing Li, Haisong Zhang, Lingzhi Wang, Xixin Wu, Kam-Fai Wong |
https://www.aclweb.org/anthology/D19-1465.pdf |
2019 |
EMNLP |
# optim-adam, reg-decay, arch-lstm, arch-cnn, pre-glove, task-textclass |
0 |
Learning Only from Relevant Keywords and Unlabeled Documents |
Nontawat Charoenphakdee, Jongyeong Lee, Yiping Jin, Dittaya Wanvarie, Masashi Sugiyama |
https://www.aclweb.org/anthology/D19-1411.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-memo, pre-glove |
1 |
Dually Interactive Matching Network for Personalized Response Selection in Retrieval-Based Chatbots |
Jia-Chen Gu, Zhen-Hua Ling, Xiaodan Zhu, Quan Liu |
https://www.aclweb.org/anthology/D19-1193.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, reg-dropout, reg-decay, norm-gradient, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, pre-glove, pre-elmo, pre-bert, struct-crf, task-seqlab, task-lm, meta-arch |
0 |
Improved Differentiable Architecture Search for Language Modeling and Named Entity Recognition |
Yufan Jiang, Chi Hu, Tong Xiao, Chunliang Zhang, Jingbo Zhu |
https://www.aclweb.org/anthology/D19-1367.pdf |
2019 |
EMNLP |
# pre-glove, pre-bert, task-extractive, task-lm, task-condlm, task-seq2seq, task-tree |
1 |
Counterfactual Story Reasoning and Generation |
Lianhui Qin, Antoine Bosselut, Ari Holtzman, Chandra Bhagavatula, Elizabeth Clark, Yejin Choi |
https://www.aclweb.org/anthology/D19-1509.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-coverage, arch-transformer, pre-glove, pre-elmo, pre-bert, adv-examp, adv-train, task-textpair, task-lm |
0 |
A Logic-Driven Framework for Consistency of Neural Models |
Tao Li, Vivek Gupta, Maitrey Mehta, Vivek Srikumar |
https://www.aclweb.org/anthology/D19-1405.pdf |
2019 |
EMNLP |
# optim-adam, reg-stopping, train-mtl, train-mll, train-transfer, arch-lstm, arch-coverage, pre-glove, pre-elmo, task-textclass, task-lm |
0 |
Multi-Domain Goal-Oriented Dialogues (MultiDoGO): Strategies toward Curating and Annotating Large Scale Dialogue Data |
Denis Peskov, Nancy Clarke, Jason Krone, Brigi Fodor, Yi Zhang, Adel Youssef, Mona Diab |
https://www.aclweb.org/anthology/D19-1460.pdf |
2019 |
EMNLP |
# optim-adam, optim-adadelta, optim-projection, init-glorot, reg-dropout, norm-layer, train-mtl, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-residual, arch-bilinear, arch-coverage, arch-transformer, pre-glove, pre-elmo, pre-bert, task-textclass, task-seq2seq, task-relation, task-tree |
0 |
Syntax-Enhanced Self-Attention-Based Semantic Role Labeling |
Yue Zhang, Rui Wang, Luo Si |
https://www.aclweb.org/anthology/D19-1057.pdf |
2019 |
EMNLP |
# arch-lstm, arch-att, arch-copy, pre-glove, pre-bert, task-spanlab, task-seq2seq |
1 |
Can You Unpack That? Learning to Rewrite Questions-in-Context |
Ahmed Elgohary, Denis Peskov, Jordan Boyd-Graber |
https://www.aclweb.org/anthology/D19-1605.pdf |
2019 |
EMNLP |
# optim-adam, arch-lstm, arch-att, arch-coverage, comb-ensemble, pre-glove, adv-examp, task-textclass, task-textpair, task-lm, task-seq2seq |
0 |
Detecting and Reducing Bias in a High Stakes Domain |
Ruiqi Zhong, Yanda Chen, Desmond Patton, Charlotte Selous, Kathy McKeown |
https://www.aclweb.org/anthology/D19-1483.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-stopping, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, pre-word2vec, pre-glove, task-textclass, task-textpair, task-seq2seq |
0 |
You Shall Know a User by the Company It Keeps: Dynamic Representations for Social Media Users in NLP |
Marco Del Tredici, Diego Marcheggiani, Sabine Schulte im Walde, Raquel Fernández |
https://www.aclweb.org/anthology/D19-1477.pdf |
2019 |
EMNLP |
# reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-gating, arch-transformer, pre-glove, pre-elmo, pre-bert, struct-crf, task-textclass, task-seqlab, task-seq2seq, meta-arch |
1 |
NeuronBlocks: Building Your NLP DNN Models Like Playing Lego |
Ming Gong, Linjun Shou, Wutao Lin, Zhijie Sang, Quanjia Yan, Ze Yang, Feixiang Cheng, Daxin Jiang |
https://www.aclweb.org/anthology/D19-3028.pdf |
2019 |
EMNLP |
# reg-dropout, arch-rnn, arch-lstm, arch-att, arch-coverage, pre-glove, latent-topic, task-textclass, task-seqlab |
0 |
Interpretable Relevant Emotion Ranking with Event-Driven Attention |
Yang Yang, Deyu Zhou, Yulan He, Meng Zhang |
https://www.aclweb.org/anthology/D19-1017.pdf |
2019 |
EMNLP |
# optim-adam, train-mtl, pool-mean, arch-lstm, arch-bilstm, arch-att, arch-selfatt, pre-glove, pre-bert, loss-nce, task-textpair, task-lm |
4 |
KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning |
Bill Yuchen Lin, Xinyue Chen, Jamin Chen, Xiang Ren |
https://www.aclweb.org/anthology/D19-1282.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-bilinear, arch-coverage, pre-glove, pre-bert, task-seqlab, task-relation |
0 |
Talk2Car: Taking Control of Your Self-Driving Car |
Thierry Deruyttere, Simon Vandenhende, Dusan Grujicic, Luc Van Gool, Marie-Francine Moens |
https://www.aclweb.org/anthology/D19-1215.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, pre-glove, task-seqlab |
0 |
“A Buster Keaton of Linguistics”: First Automated Approaches for the Extraction of Vossian Antonomasia |
Michel Schwab, Robert Jäschke, Frank Fischer, Jannik Strötgen |
https://www.aclweb.org/anthology/D19-1647.pdf |
2019 |
EMNLP |
# arch-cnn, arch-att, pre-fasttext, pre-glove, pre-bert, loss-nce, task-textclass |
0 |
An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction |
Stefan Larson, Anish Mahendran, Joseph J. Peper, Christopher Clarke, Andrew Lee, Parker Hill, Jonathan K. Kummerfeld, Kevin Leach, Michael A. Laurenzano, Lingjia Tang, Jason Mars |
https://www.aclweb.org/anthology/D19-1131.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-stopping, train-mtl, arch-lstm, arch-bilstm, arch-att, arch-memo, pre-glove, pre-elmo, pre-bert, task-textpair, task-spanlab, task-tree |
1 |
What’s Missing: A Knowledge Gap Guided Approach for Multi-hop Question Answering |
Tushar Khot, Ashish Sabharwal, Peter Clark |
https://www.aclweb.org/anthology/D19-1281.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-stopping, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, pre-glove, pre-bert, struct-crf, task-extractive, task-seq2seq, task-relation |
0 |
Extractive Summarization of Long Documents by Combining Global and Local Context |
Wen Xiao, Giuseppe Carenini |
https://www.aclweb.org/anthology/D19-1298.pdf |
2019 |
EMNLP |
# optim-adam, pool-mean, arch-rnn, arch-gru, arch-att, pre-glove, latent-vae, task-textpair, task-seq2seq |
0 |
Modeling Event Background for If-Then Commonsense Reasoning Using Context-aware Variational Autoencoder |
Li Du, Xiao Ding, Ting Liu, Zhongyang Li |
https://www.aclweb.org/anthology/D19-1270.pdf |
2019 |
EMNLP |
# optim-projection, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, search-greedy, pre-glove, task-seq2seq, task-tree |
0 |
Look-up and Adapt: A One-shot Semantic Parser |
Zhichu Lu, Forough Arabshahi, Igor Labutov, Tom Mitchell |
https://www.aclweb.org/anthology/D19-1104.pdf |
2019 |
EMNLP |
# reg-dropout, arch-lstm, arch-att, pre-glove, pre-elmo, pre-bert, task-seqlab, task-lm, task-cloze |
1 |
BERT for Coreference Resolution: Baselines and Analysis |
Mandar Joshi, Omer Levy, Luke Zettlemoyer, Daniel Weld |
https://www.aclweb.org/anthology/D19-1588.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, train-mll, arch-lstm, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-fasttext, pre-glove, task-seq2seq |
0 |
Rotate King to get Queen: Word Relationships as Orthogonal Transformations in Embedding Space |
Kawin Ethayarajh |
https://www.aclweb.org/anthology/D19-1354.pdf |
2019 |
EMNLP |
# optim-adam, pool-mean, arch-rnn, arch-lstm, pre-glove, task-seqlab, task-seq2seq |
0 |
Extracting Possessions from Social Media: Images Complement Language |
Dhivya Chinnappa, Srikala Murugan, Eduardo Blanco |
https://www.aclweb.org/anthology/D19-1061.pdf |
2019 |
EMNLP |
# optim-adam, train-mtl, pool-max, arch-rnn, arch-lstm, arch-att, arch-coverage, pre-glove, pre-bert, task-textpair, task-lm, task-cloze |
3 |
Investigating BERT’s Knowledge of Language: Five Analysis Methods with NPIs |
Alex Warstadt, Yu Cao, Ioana Grosu, Wei Peng, Hagen Blix, Yining Nie, Anna Alsop, Shikha Bordia, Haokun Liu, Alicia Parrish, Sheng-Fu Wang, Jason Phang, Anhad Mohananey, Phu Mon Htut, Paloma Jeretic, Samuel R. Bowman |
https://www.aclweb.org/anthology/D19-1286.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-subword, comb-ensemble, search-beam, pre-word2vec, pre-glove, pre-elmo, adv-examp, task-textclass, task-textpair, task-spanlab, task-lm, task-seq2seq |
8 |
Universal Adversarial Triggers for Attacking and Analyzing NLP |
Eric Wallace, Shi Feng, Nikhil Kandpal, Matt Gardner, Sameer Singh |
https://www.aclweb.org/anthology/D19-1221.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, train-mll, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-coverage, pre-glove, task-seq2seq, task-graph |
2 |
VerbAtlas: a Novel Large-Scale Verbal Semantic Resource and Its Application to Semantic Role Labeling |
Andrea Di Fabio, Simone Conia, Roberto Navigli |
https://www.aclweb.org/anthology/D19-1058.pdf |
2019 |
EMNLP |
# optim-adam, arch-cnn, arch-att, arch-coverage, pre-glove, pre-bert, latent-topic, task-spanlab |
1 |
Question Answering for Privacy Policies: Combining Computational and Legal Perspectives |
Abhilasha Ravichander, Alan W Black, Shomir Wilson, Thomas Norton, Norman Sadeh |
https://www.aclweb.org/anthology/D19-1500.pdf |
2019 |
EMNLP |
# train-mll, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-memo, arch-transformer, pre-glove, pre-elmo, pre-bert, latent-vae, task-lm, task-seq2seq |
0 |
Next Sentence Prediction helps Implicit Discourse Relation Classification within and across Domains |
Wei Shi, Vera Demberg |
https://www.aclweb.org/anthology/D19-1586.pdf |
2019 |
EMNLP |
# arch-lstm, arch-bilstm, arch-coverage, pre-glove, pre-elmo, task-lm, task-seq2seq, task-alignment |
0 |
Recursive Context-Aware Lexical Simplification |
Sian Gooding, Ekaterina Kochmar |
https://www.aclweb.org/anthology/D19-1491.pdf |
2019 |
EMNLP |
# optim-adam, train-transfer, pool-max, arch-lstm, arch-bilstm, arch-att, arch-transformer, pre-glove, pre-skipthought, pre-bert, pre-use, loss-triplet, task-textpair |
5 |
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks |
Nils Reimers, Iryna Gurevych |
https://www.aclweb.org/anthology/D19-1410.pdf |
2019 |
EMNLP |
# optim-projection, train-mll, train-transfer, arch-lstm, arch-att, arch-coverage, arch-subword, arch-transformer, comb-ensemble, pre-word2vec, pre-fasttext, pre-glove, pre-skipthought, pre-elmo, pre-bert, pre-use, adv-train, loss-cca, task-textclass, task-textpair, task-lm, task-seq2seq, task-cloze |
0 |
Multi-View Domain Adapted Sentence Embeddings for Low-Resource Unsupervised Duplicate Question Detection |
Nina Poerner, Hinrich Schütze |
https://www.aclweb.org/anthology/D19-1173.pdf |
2019 |
EMNLP |
# optim-projection, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-memo, pre-glove |
0 |
A Progressive Model to Enable Continual Learning for Semantic Slot Filling |
Yilin Shen, Xiangyu Zeng, Hongxia Jin |
https://www.aclweb.org/anthology/D19-1126.pdf |
2019 |
EMNLP |
# optim-sgd, reg-dropout, arch-lstm, arch-bilstm, arch-att, pre-word2vec, pre-glove, pre-elmo, pre-bert, struct-crf, latent-topic, task-tree |
0 |
Negative Focus Detection via Contextual Attention Mechanism |
Longxiang Shen, Bowei Zou, Yu Hong, Guodong Zhou, Qiaoming Zhu, AiTi Aw |
https://www.aclweb.org/anthology/D19-1230.pdf |
2019 |
EMNLP |
# arch-lstm, arch-bilstm, arch-cnn, pre-fasttext, pre-glove, pre-bert, adv-examp, adv-train, task-textclass, task-spanlab, task-seq2seq |
3 |
Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack |
Emily Dinan, Samuel Humeau, Bharath Chintagunta, Jason Weston |
https://www.aclweb.org/anthology/D19-1461.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-gru, arch-att, arch-energy, search-sampling, pre-glove, struct-crf, task-textpair, task-lm, task-condlm, task-seq2seq |
0 |
Autoregressive Text Generation Beyond Feedback Loops |
Florian Schmidt, Stephan Mandt, Thomas Hofmann |
https://www.aclweb.org/anthology/D19-1338.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, arch-copy, arch-coverage, search-beam, pre-glove, latent-vae, task-spanlab, task-lm, task-condlm, task-seq2seq |
1 |
Mixture Content Selection for Diverse Sequence Generation |
Jaemin Cho, Minjoon Seo, Hannaneh Hajishirzi |
https://www.aclweb.org/anthology/D19-1308.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-att, arch-copy, arch-coverage, search-beam, pre-glove, loss-nce, task-extractive, task-lm |
0 |
Summary Cloze: A New Task for Content Selection in Topic-Focused Summarization |
Daniel Deutsch, Dan Roth |
https://www.aclweb.org/anthology/D19-1386.pdf |
2019 |
NAA-CL |
# arch-bilinear, arch-coverage, comb-ensemble, pre-word2vec, pre-glove, task-seqlab, task-seq2seq |
0 |
What just happened? Evaluating retrofitted distributional word vectors |
Dmetri Hayes |
https://www.aclweb.org/anthology/N19-1111.pdf |
2019 |
NAA-CL |
# optim-sgd, optim-adam, optim-adadelta, reg-decay, arch-lstm, arch-recnn, arch-treelstm, arch-att, arch-coverage, search-beam, pre-glove, struct-cfg, nondif-reinforce, latent-vae, task-textpair, task-lm, task-condlm |
5 |
Cooperative Learning of Disjoint Syntax and Semantics |
Serhii Havrylov, Germán Kruszewski, Armand Joulin |
https://www.aclweb.org/anthology/N19-1115.pdf |
2019 |
NAA-CL |
# reg-dropout, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, arch-coverage, search-beam, pre-glove, nondif-reinforce, latent-vae, task-seq2seq, task-tree |
4 |
UHop: An Unrestricted-Hop Relation Extraction Framework for Knowledge-Based Question Answering |
Zi-Yuan Chen, Chih-Hung Chang, Yi-Pei Chen, Jijnasa Nayak, Lun-Wei Ku |
https://www.aclweb.org/anthology/N19-1031.pdf |
2019 |
NAA-CL |
# optim-adam, optim-projection, arch-coverage, pre-glove, latent-topic |
5 |
Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings |
Dorottya Demszky, Nikhil Garg, Rob Voigt, James Zou, Jesse Shapiro, Matthew Gentzkow, Dan Jurafsky |
https://www.aclweb.org/anthology/N19-1304.pdf |
2019 |
NAA-CL |
# optim-adam, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-bilinear, pre-glove, latent-vae |
3 |
Be Consistent! Improving Procedural Text Comprehension using Label Consistency |
Xinya Du, Bhavana Dalvi, Niket Tandon, Antoine Bosselut, Wen-tau Yih, Peter Clark, Claire Cardie |
https://www.aclweb.org/anthology/N19-1244.pdf |
2019 |
NAA-CL |
# reg-dropout, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-att, pre-glove, task-textpair, task-seq2seq |
1 |
Simple Attention-Based Representation Learning for Ranking Short Social Media Posts |
Peng Shi, Jinfeng Rao, Jimmy Lin |
https://www.aclweb.org/anthology/N19-1229.pdf |
2019 |
NAA-CL |
# optim-adam, reg-stopping, train-augment, arch-lstm, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-subword, arch-transformer, search-beam, pre-glove, pre-elmo, task-textpair, task-lm, task-condlm, task-seq2seq, task-tree |
1 |
Improved Lexically Constrained Decoding for Translation and Monolingual Rewriting |
J. Edward Hu, Huda Khayrallah, Ryan Culkin, Patrick Xia, Tongfei Chen, Matt Post, Benjamin Van Durme |
https://www.aclweb.org/anthology/N19-1090.pdf |
2019 |
NAA-CL |
# pool-mean, arch-lstm, arch-cnn, arch-att, arch-selfatt, comb-ensemble, pre-fasttext, pre-glove, struct-crf, loss-cca, loss-margin, task-textclass |
1 |
Ranking-Based Autoencoder for Extreme Multi-label Classification |
Bingyu Wang, Li Chen, Wei Sun, Kechen Qin, Kefeng Li, Hui Zhou |
https://www.aclweb.org/anthology/N19-1289.pdf |
2019 |
NAA-CL |
# optim-sgd, optim-adam, optim-projection, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, pre-fasttext, pre-glove, task-textclass, task-textpair, task-condlm, task-seq2seq |
59 |
Attention is not Explanation |
Sarthak Jain, Byron C. Wallace |
https://www.aclweb.org/anthology/N19-1357.pdf |
2019 |
NAA-CL |
# optim-sgd, train-mll, arch-lstm, arch-bilstm, arch-att, arch-coverage, arch-subword, pre-fasttext, pre-glove, struct-crf, latent-vae, loss-svd, task-seqlab, task-lm |
1 |
Misspelling Oblivious Word Embeddings |
Aleksandra Piktus, Necati Bora Edizel, Piotr Bojanowski, Edouard Grave, Rui Ferreira, Fabrizio Silvestri |
https://www.aclweb.org/anthology/N19-1326.pdf |
2019 |
NAA-CL |
# reg-dropout, arch-lstm, pre-glove, task-seqlab |
0 |
“President Vows to Cut Hair”: Dataset and Analysis of Creative Text Editing for Humorous Headlines |
Nabil Hossain, John Krumm, Michael Gamon |
https://www.aclweb.org/anthology/N19-1012.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-treelstm, arch-cnn, arch-att, pre-glove |
0 |
Multi-Channel Convolutional Neural Network for Twitter Emotion and Sentiment Recognition |
Jumayel Islam, Robert E. Mercer, Lu Xiao |
https://www.aclweb.org/anthology/N19-1137.pdf |
2019 |
NAA-CL |
# optim-sgd, optim-adam, optim-adagrad, optim-projection, reg-norm, arch-lstm, arch-bilstm, arch-memo, pre-glove, latent-topic, task-lexicon |
1 |
Sentence Embedding Alignment for Lifelong Relation Extraction |
Hong Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang |
https://www.aclweb.org/anthology/N19-1086.pdf |
2019 |
NAA-CL |
# reg-dropout, activ-relu, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-coverage, pre-glove, task-textclass, task-textpair, task-seq2seq |
3 |
How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection |
Wenhu Chen, Yu Su, Yilin Shen, Zhiyu Chen, Xifeng Yan, William Yang Wang |
https://www.aclweb.org/anthology/N19-1352.pdf |
2019 |
NAA-CL |
# optim-adam, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-subword, comb-ensemble, pre-word2vec, pre-fasttext, pre-glove, latent-vae, task-seq2seq, task-relation |
1 |
Detecting Cybersecurity Events from Noisy Short Text |
Semih Yagcioglu, Mehmet Saygin Seyfioglu, Begum Citamak, Batuhan Bardak, Seren Guldamlasioglu, Azmi Yuksel, Emin Islam Tatli |
https://www.aclweb.org/anthology/N19-1138.pdf |
2019 |
NAA-CL |
# optim-sgd, optim-adam, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-gru, arch-att, arch-coverage, arch-transformer, pre-glove, pre-elmo, task-lm |
3 |
Recursive Routing Networks: Learning to Compose Modules for Language Understanding |
Ignacio Cases, Clemens Rosenbaum, Matthew Riemer, Atticus Geiger, Tim Klinger, Alex Tamkin, Olivia Li, Sandhini Agarwal, Joshua D. Greene, Dan Jurafsky, Christopher Potts, Lauri Karttunen |
https://www.aclweb.org/anthology/N19-1365.pdf |
2019 |
NAA-CL |
# optim-sgd, optim-adam, train-mtl, train-transfer, arch-lstm, arch-coverage, pre-glove, pre-skipthought, pre-bert, task-textpair, task-lm |
3 |
Mining Discourse Markers for Unsupervised Sentence Representation Learning |
Damien Sileo, Tim Van De Cruys, Camille Pradel, Philippe Muller |
https://www.aclweb.org/anthology/N19-1351.pdf |
2019 |
NAA-CL |
# optim-adam, reg-stopping, pool-max, arch-rnn, arch-lstm, arch-gru, arch-att, pre-word2vec, pre-glove, struct-crf, task-lm, task-seq2seq |
0 |
Early Rumour Detection |
Kaimin Zhou, Chang Shu, Binyang Li, Jey Han Lau |
https://www.aclweb.org/anthology/N19-1163.pdf |
2019 |
NAA-CL |
# optim-adam, train-mtl, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-treelstm, arch-gnn, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-elmo, pre-bert, struct-crf, task-textclass, task-textpair, task-seqlab, task-lm, task-seq2seq |
17 |
Star-Transformer |
Qipeng Guo, Xipeng Qiu, Pengfei Liu, Yunfan Shao, Xiangyang Xue, Zheng Zhang |
https://www.aclweb.org/anthology/N19-1133.pdf |
2019 |
NAA-CL |
# optim-adam, optim-projection, pre-word2vec, pre-glove |
46 |
Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them |
Hila Gonen, Yoav Goldberg |
https://www.aclweb.org/anthology/N19-1061.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, pre-glove, pre-elmo, pre-bert, struct-crf, task-seqlab |
3 |
GraphIE: A Graph-Based Framework for Information Extraction |
Yujie Qian, Enrico Santus, Zhijing Jin, Jiang Guo, Regina Barzilay |
https://www.aclweb.org/anthology/N19-1082.pdf |
2019 |
NAA-CL |
# optim-adam, train-mtl, train-mll, arch-att, arch-subword, arch-transformer, pre-word2vec, pre-fasttext, pre-glove, pre-elmo, pre-use, latent-vae, task-textclass, task-textpair, task-seq2seq |
2 |
Correlation Coefficients and Semantic Textual Similarity |
Vitalii Zhelezniak, Aleksandar Savkov, April Shen, Nils Hammerla |
https://www.aclweb.org/anthology/N19-1100.pdf |
2019 |
NAA-CL |
# optim-adam, optim-projection, reg-dropout, norm-batch, pool-max, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-memo, pre-glove, nondif-reinforce, task-seq2seq, task-tree |
4 |
Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases |
Yu Chen, Lingfei Wu, Mohammed J. Zaki |
https://www.aclweb.org/anthology/N19-1299.pdf |
2019 |
NAA-CL |
# optim-adam, arch-lstm, arch-bilstm, arch-att, arch-memo, pre-glove, task-textpair |
0 |
Using Natural Language Relations between Answer Choices for Machine Comprehension |
Rajkumar Pujari, Dan Goldwasser |
https://www.aclweb.org/anthology/N19-1403.pdf |
2019 |
NAA-CL |
# init-glorot, reg-dropout, reg-worddropout, arch-cnn, arch-att, arch-coverage, pre-glove, latent-topic, task-textpair, task-seq2seq, task-relation, task-tree |
1 |
No Permanent Friends or Enemies: Tracking Relationships between Nations from News |
Xiaochuang Han, Eunsol Choi, Chenhao Tan |
https://www.aclweb.org/anthology/N19-1167.pdf |
2019 |
NAA-CL |
# optim-adam, init-glorot, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, pre-glove, task-textclass, task-relation |
1 |
Topic Spotting using Hierarchical Networks with Self Attention |
Pooja Chitkara, Ashutosh Modi, Pravalika Avvaru, Sepehr Janghorbani, Mubbasir Kapadia |
https://www.aclweb.org/anthology/N19-1376.pdf |
2019 |
NAA-CL |
# train-transfer, arch-lstm, arch-bilstm, pre-word2vec, pre-glove, pre-elmo, pre-bert, struct-crf, adv-train, task-textclass, task-textpair, task-seqlab, task-lm |
1 |
Using Similarity Measures to Select Pretraining Data for NER |
Xiang Dai, Sarvnaz Karimi, Ben Hachey, Cecile Paris |
https://www.aclweb.org/anthology/N19-1149.pdf |
2019 |
NAA-CL |
# optim-adam, reg-patience, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-bilinear, arch-coverage, arch-subword, arch-transformer, pre-glove, pre-elmo, pre-bert, struct-crf, adv-train, task-textclass, task-textpair, task-seqlab, task-lm, task-seq2seq, task-relation |
51 |
Linguistic Knowledge and Transferability of Contextual Representations |
Nelson F. Liu, Matt Gardner, Yonatan Belinkov, Matthew E. Peters, Noah A. Smith |
https://www.aclweb.org/anthology/N19-1112.pdf |
2019 |
NAA-CL |
# optim-adadelta, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-cnn, arch-att, pre-glove, pre-elmo, pre-bert, task-lm |
4 |
Structural Scaffolds for Citation Intent Classification in Scientific Publications |
Arman Cohan, Waleed Ammar, Madeleine van Zuylen, Field Cady |
https://www.aclweb.org/anthology/N19-1361.pdf |
2019 |
NAA-CL |
# optim-adam, norm-batch, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-subword, pre-word2vec, pre-glove, struct-crf, task-seqlab, task-lm |
0 |
VCWE: Visual Character-Enhanced Word Embeddings |
Chi Sun, Xipeng Qiu, Xuanjing Huang |
https://www.aclweb.org/anthology/N19-1277.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-subword, pre-fasttext, pre-glove, adv-examp, task-seq2seq |
5 |
Neural Machine Translation of Text from Non-Native Speakers |
Antonios Anastasopoulos, Alison Lui, Toan Q. Nguyen, David Chiang |
https://www.aclweb.org/anthology/N19-1311.pdf |
2019 |
NAA-CL |
# reg-patience, arch-rnn, arch-gru, pre-glove |
2 |
Frowning Frodo, Wincing Leia, and a Seriously Great Friendship: Learning to Classify Emotional Relationships of Fictional Characters |
Evgeny Kim, Roman Klinger |
https://www.aclweb.org/anthology/N19-1067.pdf |
2019 |
NAA-CL |
# optim-adam, arch-rnn, arch-lstm, arch-att, arch-coverage, pre-word2vec, pre-glove, pre-elmo, latent-vae, task-lm, task-seq2seq |
4 |
In Other News: a Bi-style Text-to-speech Model for Synthesizing Newscaster Voice with Limited Data |
Nishant Prateek, Mateusz Łajszczak, Roberto Barra-Chicote, Thomas Drugman, Jaime Lorenzo-Trueba, Thomas Merritt, Srikanth Ronanki, Trevor Wood |
https://www.aclweb.org/anthology/N19-2026.pdf |
2019 |
NAA-CL |
# init-glorot, reg-dropout, train-transfer, pool-max, arch-rnn, arch-cnn, arch-att, comb-ensemble, pre-glove, adv-train, loss-triplet, task-lm |
1 |
Adversarial Category Alignment Network for Cross-domain Sentiment Classification |
Xiaoye Qu, Zhikang Zou, Yu Cheng, Yang Yang, Pan Zhou |
https://www.aclweb.org/anthology/N19-1258.pdf |
2019 |
NAA-CL |
# optim-adam, optim-projection, reg-dropout, train-transfer, pool-max, arch-rnn, arch-lstm, arch-att, comb-ensemble, pre-glove, task-textpair, task-lm, task-seq2seq |
1 |
Linguistically-Informed Specificity and Semantic Plausibility for Dialogue Generation |
Wei-Jen Ko, Greg Durrett, Junyi Jessy Li |
https://www.aclweb.org/anthology/N19-1349.pdf |
2019 |
NAA-CL |
# optim-adam, pool-max, arch-cnn, pre-glove |
4 |
Analyzing the Perceived Severity of Cybersecurity Threats Reported on Social Media |
Shi Zong, Alan Ritter, Graham Mueller, Evan Wright |
https://www.aclweb.org/anthology/N19-1140.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-coverage, comb-ensemble, pre-glove, task-textclass |
0 |
Predicting Helpful Posts in Open-Ended Discussion Forums: A Neural Architecture |
Kishaloy Halder, Min-Yen Kan, Kazunari Sugiyama |
https://www.aclweb.org/anthology/N19-1318.pdf |
2019 |
NAA-CL |
# arch-rnn, arch-lstm, arch-bilstm, pre-word2vec, pre-glove, struct-crf |
0 |
A k-Nearest Neighbor Approach towards Multi-level Sequence Labeling |
Yue Chen, John Chen |
https://www.aclweb.org/anthology/N19-2019.pdf |
2019 |
NAA-CL |
# reg-dropout, arch-rnn, arch-lstm, arch-att, arch-coverage, search-beam, pre-glove, struct-crf, task-textpair, task-seq2seq, task-tree |
1 |
Open Information Extraction from Question-Answer Pairs |
Nikita Bhutani, Yoshihiko Suhara, Wang-Chiew Tan, Alon Halevy, H. V. Jagadish |
https://www.aclweb.org/anthology/N19-1239.pdf |
2019 |
NAA-CL |
# optim-adam, reg-stopping, pool-max, arch-rnn, arch-lstm, arch-cnn, arch-memo, pre-glove, loss-nce, task-spanlab, task-lm, task-seq2seq |
0 |
Harry Potter and the Action Prediction Challenge from Natural Language |
David Vilares, Carlos Gómez-Rodríguez |
https://www.aclweb.org/anthology/N19-1218.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, arch-lstm, arch-att, arch-gating, arch-subword, arch-transformer, pre-glove, pre-elmo, pre-bert, adv-train, task-relation |
3 |
Learning to Denoise Distantly-Labeled Data for Entity Typing |
Yasumasa Onoe, Greg Durrett |
https://www.aclweb.org/anthology/N19-1250.pdf |
2019 |
NAA-CL |
# optim-sgd, optim-projection, reg-dropout, reg-decay, norm-gradient, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, pre-elmo, pre-bert, struct-crf, latent-vae, task-seqlab, task-lm, task-seq2seq |
2 |
Knowledge-Augmented Language Model and Its Application to Unsupervised Named-Entity Recognition |
Angli Liu, Jingfei Du, Veselin Stoyanov |
https://www.aclweb.org/anthology/N19-1117.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, reg-stopping, train-transfer, arch-lstm, arch-cnn, arch-att, pre-glove, struct-crf, task-seqlab |
2 |
Entity Recognition at First Sight: Improving NER with Eye Movement Information |
Nora Hollenstein, Ce Zhang |
https://www.aclweb.org/anthology/N19-1001.pdf |
2019 |
NAA-CL |
# reg-dropout, reg-stopping, train-mtl, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, search-beam, search-viterbi, pre-word2vec, pre-glove, struct-crf, adv-examp, task-seqlab, task-lm, task-seq2seq |
1 |
Benchmarking Approximate Inference Methods for Neural Structured Prediction |
Lifu Tu, Kevin Gimpel |
https://www.aclweb.org/anthology/N19-1335.pdf |
2019 |
NAA-CL |
# reg-dropout, arch-bilinear, arch-subword, pre-word2vec, pre-glove |
2 |
Better Word Embeddings by Disentangling Contextual n-Gram Information |
Prakhar Gupta, Matteo Pagliardini, Martin Jaggi |
https://www.aclweb.org/anthology/N19-1098.pdf |
2019 |
NAA-CL |
# optim-adam, train-augment, pre-glove, pre-elmo, pre-bert, task-lm |
24 |
Gender Bias in Contextualized Word Embeddings |
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Ryan Cotterell, Vicente Ordonez, Kai-Wei Chang |
https://www.aclweb.org/anthology/N19-1064.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-bilstm, arch-att, pre-glove, task-lm, task-seq2seq |
0 |
Conversation Initiation by Diverse News Contents Introduction |
Satoshi Akasaki, Nobuhiro Kaji |
https://www.aclweb.org/anthology/N19-1400.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-bilinear, pre-glove, pre-elmo, pre-bert, task-relation, task-tree |
0 |
Decomposed Local Models for Coordinate Structure Parsing |
Hiroki Teranishi, Hiroyuki Shindo, Yuji Matsumoto |
https://www.aclweb.org/anthology/N19-1343.pdf |
2019 |
NAA-CL |
# optim-adam, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, arch-transformer, comb-ensemble, pre-glove, pre-bert, struct-crf, task-textclass, task-textpair, task-lm, task-seq2seq, task-alignment |
0 |
Alignment over Heterogeneous Embeddings for Question Answering |
Vikas Yadav, Steven Bethard, Mihai Surdeanu |
https://www.aclweb.org/anthology/N19-1274.pdf |
2019 |
NAA-CL |
# optim-adam, init-glorot, reg-stopping, train-mtl, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-coverage, search-viterbi, pre-glove, struct-crf, task-relation, task-tree, task-alignment |
2 |
Target-oriented Opinion Words Extraction with Target-fused Neural Sequence Labeling |
Zhifang Fan, Zhen Wu, Xin-Yu Dai, Shujian Huang, Jiajun Chen |
https://www.aclweb.org/anthology/N19-1259.pdf |
2019 |
NAA-CL |
# pool-max, arch-lstm, arch-bilstm, arch-treelstm, arch-cnn, pre-glove, task-textclass |
1 |
Vector of Locally-Aggregated Word Embeddings (VLAWE): A Novel Document-level Representation |
Radu Tudor Ionescu, Andrei Butnaru |
https://www.aclweb.org/anthology/N19-1033.pdf |
2019 |
NAA-CL |
# train-mll, arch-att, pre-fasttext, pre-glove, pre-skipthought, pre-elmo, pre-bert, loss-svd, task-seq2seq |
0 |
Big BiRD: A Large, Fine-Grained, Bigram Relatedness Dataset for Examining Semantic Composition |
Shima Asaadi, Saif Mohammad, Svetlana Kiritchenko |
https://www.aclweb.org/anthology/N19-1050.pdf |
2019 |
NAA-CL |
# arch-lstm, arch-att, arch-coverage, pre-fasttext, pre-glove, pre-elmo, pre-use, task-textclass, task-relation, task-tree |
0 |
Outlier Detection for Improved Data Quality and Diversity in Dialog Systems |
Stefan Larson, Anish Mahendran, Andrew Lee, Jonathan K. Kummerfeld, Parker Hill, Michael A. Laurenzano, Johann Hauswald, Lingjia Tang, Jason Mars |
https://www.aclweb.org/anthology/N19-1051.pdf |
2019 |
NAA-CL |
# optim-sgd, optim-adam, reg-dropout, reg-patience, arch-rnn, arch-birnn, arch-gru, arch-bigru, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-subword, pre-word2vec, pre-glove, pre-skipthought, pre-elmo, struct-crf, adv-train, latent-vae, task-textclass, task-lm |
6 |
Dialogue Act Classification with Context-Aware Self-Attention |
Vipul Raheja, Joel Tetreault |
https://www.aclweb.org/anthology/N19-1373.pdf |
2019 |
NAA-CL |
# arch-att, arch-transformer, search-greedy, pre-glove, task-lm |
0 |
Asking the Right Question: Inferring Advice-Seeking Intentions from Personal Narratives |
Liye Fu, Jonathan P. Chang, Cristian Danescu-Niculescu-Mizil |
https://www.aclweb.org/anthology/N19-1052.pdf |
2019 |
NAA-CL |
# reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-bilinear, pre-glove, task-textpair, task-seqlab, task-tree |
2 |
Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing |
Wenhan Xiong, Jiawei Wu, Deren Lei, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang |
https://www.aclweb.org/anthology/N19-1084.pdf |
2019 |
NAA-CL |
# optim-sgd, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-memo, comb-ensemble, pre-glove, pre-elmo, pre-bert, struct-crf, nondif-reinforce, task-seq2seq, task-relation |
7 |
Better, Faster, Stronger Sequence Tagging Constituent Parsers |
David Vilares, Mostafa Abdou, Anders Søgaard |
https://www.aclweb.org/anthology/N19-1341.pdf |
2019 |
NAA-CL |
# optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, pre-glove, task-spanlab, task-lm, task-seq2seq |
0 |
The Lower The Simpler: Simplifying Hierarchical Recurrent Models |
Chao Wang, Hui Jiang |
https://www.aclweb.org/anthology/N19-1402.pdf |
2019 |
NAA-CL |
# optim-sgd, arch-rnn, arch-lstm, arch-att, arch-copy, search-beam, search-viterbi, pre-glove, latent-vae, task-lm, task-seq2seq, task-relation |
1 |
Benchmarking Hierarchical Script Knowledge |
Yonatan Bisk, Jan Buys, Karl Pichotta, Yejin Choi |
https://www.aclweb.org/anthology/N19-1412.pdf |
2019 |
NAA-CL |
# optim-sgd, optim-adadelta, reg-dropout, reg-stopping, arch-cnn, arch-att, pre-word2vec, pre-glove, task-textclass |
2 |
An Effective Label Noise Model for DNN Text Classification |
Ishan Jindal, Daniel Pressel, Brian Lester, Matthew Nokleby |
https://www.aclweb.org/anthology/N19-1328.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, train-mtl, arch-lstm, arch-gru, arch-bigru, arch-att, arch-selfatt, pre-glove |
3 |
Multi-task Learning for Multi-modal Emotion Recognition and Sentiment Analysis |
Md Shad Akhtar, Dushyant Chauhan, Deepanway Ghosal, Soujanya Poria, Asif Ekbal, Pushpak Bhattacharyya |
https://www.aclweb.org/anthology/N19-1034.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, train-mtl, train-transfer, train-augment, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, arch-gating, arch-bilinear, pre-glove, pre-elmo, pre-bert, task-spanlab, task-lm, task-seq2seq |
4 |
Multi-task Learning with Sample Re-weighting for Machine Reading Comprehension |
Yichong Xu, Xiaodong Liu, Yelong Shen, Jingjing Liu, Jianfeng Gao |
https://www.aclweb.org/anthology/N19-1271.pdf |
2019 |
NAA-CL |
# optim-adam, arch-lstm, arch-bilstm, arch-att, arch-coverage, arch-transformer, search-beam, pre-glove, pre-elmo, pre-bert, struct-crf, adv-examp, task-textpair, task-lm, task-condlm, task-seq2seq, task-alignment |
9 |
PAWS: Paraphrase Adversaries from Word Scrambling |
Yuan Zhang, Jason Baldridge, Luheng He |
https://www.aclweb.org/anthology/N19-1131.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, arch-lstm, arch-att, arch-coverage, pre-glove, pre-elmo, struct-hmm, task-textpair, task-seq2seq |
3 |
Incorporating Context and External Knowledge for Pronoun Coreference Resolution |
Hongming Zhang, Yan Song, Yangqiu Song |
https://www.aclweb.org/anthology/N19-1093.pdf |
2019 |
NAA-CL |
# optim-sgd, train-mll, arch-rnn, arch-lstm, arch-att, arch-memo, arch-coverage, arch-subword, arch-transformer, pre-word2vec, pre-glove, pre-elmo, pre-bert, struct-crf, task-textclass, task-lm, task-seq2seq |
2 |
One Size Does Not Fit All: Comparing NMT Representations of Different Granularities |
Nadir Durrani, Fahim Dalvi, Hassan Sajjad, Yonatan Belinkov, Preslav Nakov |
https://www.aclweb.org/anthology/N19-1154.pdf |
2019 |
NAA-CL |
# reg-dropout, reg-decay, train-mtl, arch-rnn, arch-att, arch-selfatt, arch-copy, arch-transformer, comb-ensemble, pre-glove, pre-elmo, pre-bert, task-lm, task-seq2seq, task-tree |
20 |
Improving Grammatical Error Correction via Pre-Training a Copy-Augmented Architecture with Unlabeled Data |
Wei Zhao, Liang Wang, Kewei Shen, Ruoyu Jia, Jingming Liu |
https://www.aclweb.org/anthology/N19-1014.pdf |
2019 |
NAA-CL |
# train-mll, arch-rnn, arch-lstm, arch-bilstm, comb-ensemble, pre-word2vec, pre-glove, pre-paravec, pre-skipthought, pre-elmo, task-seq2seq |
0 |
Learning Outside the Box: Discourse-level Features Improve Metaphor Identification |
Jesse Mu, Helen Yannakoudakis, Ekaterina Shutova |
https://www.aclweb.org/anthology/N19-1059.pdf |
2019 |
NAA-CL |
# arch-rnn, arch-lstm, arch-cnn, arch-att, comb-ensemble, pre-glove, struct-crf, latent-vae, task-textclass, task-lm, task-seq2seq |
2 |
Strong and Simple Baselines for Multimodal Utterance Embeddings |
Paul Pu Liang, Yao Chong Lim, Yao-Hung Hubert Tsai, Ruslan Salakhutdinov, Louis-Philippe Morency |
https://www.aclweb.org/anthology/N19-1267.pdf |
2019 |
NAA-CL |
# optim-adam, optim-projection, train-transfer, pool-max, pool-mean, arch-lstm, arch-att, arch-memo, arch-bilinear, pre-word2vec, pre-glove, task-textclass, task-seqlab |
1 |
Description-Based Zero-shot Fine-Grained Entity Typing |
Rasha Obeidat, Xiaoli Fern, Hamed Shahbazi, Prasad Tadepalli |
https://www.aclweb.org/anthology/N19-1087.pdf |
2019 |
NAA-CL |
# optim-adam, reg-decay, train-augment, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, arch-selfatt, comb-ensemble, pre-glove |
0 |
On Knowledge distillation from complex networks for response prediction |
Siddhartha Arora, Mitesh M. Khapra, Harish G. Ramaswamy |
https://www.aclweb.org/anthology/N19-1382.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, arch-lstm, arch-att, pre-glove, pre-bert, task-spanlab, task-seq2seq |
3 |
Fast Prototyping a Dialogue Comprehension System for Nurse-Patient Conversations on Symptom Monitoring |
Zhengyuan Liu, Hazel Lim, Nur Farah Ain Suhaimi, Shao Chuen Tong, Sharon Ong, Angela Ng, Sheldon Lee, Michael R. Macdonald, Savitha Ramasamy, Pavitra Krishnaswamy, Wai Leng Chow, Nancy F. Chen |
https://www.aclweb.org/anthology/N19-2004.pdf |
2019 |
NAA-CL |
# optim-adam, reg-stopping, activ-tanh, arch-rnn, arch-lstm, arch-att, arch-memo, pre-glove, task-seq2seq |
3 |
Decay-Function-Free Time-Aware Attention to Context and Speaker Indicator for Spoken Language Understanding |
Jonggu Kim, Jong-Hyeok Lee |
https://www.aclweb.org/anthology/N19-1372.pdf |
2019 |
NAA-CL |
# arch-att, arch-coverage, arch-subword, pre-fasttext, pre-glove, pre-skipthought, pre-use, task-textpair |
0 |
Evaluating Composition Models for Verb Phrase Elliptical Sentence Embeddings |
Gijs Wijnholds, Mehrnoosh Sadrzadeh |
https://www.aclweb.org/anthology/N19-1023.pdf |
2019 |
NAA-CL |
# optim-adam, init-glorot, reg-dropout, reg-stopping, reg-patience, reg-norm, arch-rnn, arch-lstm, arch-gru, arch-att, arch-copy, comb-ensemble, pre-glove, struct-crf, latent-topic, task-extractive |
0 |
Glocal: Incorporating Global Information in Local Convolution for Keyphrase Extraction |
Animesh Prasad, Min-Yen Kan |
https://www.aclweb.org/anthology/N19-1182.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, reg-decay, train-transfer, train-augment, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-coverage, arch-transformer, comb-ensemble, pre-glove, pre-skipthought, pre-elmo, pre-bert, struct-crf, task-textclass, task-textpair, task-seqlab, task-spanlab, task-lm, task-seq2seq, task-cloze |
3209 |
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding |
Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova |
https://www.aclweb.org/anthology/N19-1423.pdf |
2019 |
NAA-CL |
# optim-adam, arch-lstm, arch-bilstm, arch-att, arch-selfatt, pre-glove, pre-elmo |
2 |
Ranking and Selecting Multi-Hop Knowledge Paths to Better Predict Human Needs |
Debjit Paul, Anette Frank |
https://www.aclweb.org/anthology/N19-1368.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, reg-worddropout, norm-layer, arch-rnn, arch-lstm, arch-att, pre-glove, nondif-reinforce, latent-vae, task-lm, task-condlm, task-seq2seq, task-tree |
4 |
SEQˆ3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression |
Christos Baziotis, Ion Androutsopoulos, Ioannis Konstas, Alexandros Potamianos |
https://www.aclweb.org/anthology/N19-1071.pdf |