Year |
Conf. |
Topic |
Cited |
Paper |
Authors |
Url |
2019 |
ACL |
# optim-adam, reg-dropout, reg-worddropout, arch-rnn, arch-lstm, arch-gru, arch-att, arch-transformer, pre-word2vec, pre-fasttext, pre-elmo, pre-bert, struct-crf, task-seqlab |
5 |
Neural Architectures for Nested NER through Linearization |
Jana Straková, Milan Straka, Jan Hajic |
https://www.aclweb.org/anthology/P19-1527.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-cnn, arch-subword, search-viterbi, task-textclass, task-seqlab, task-lm, task-seq2seq |
0 |
Stochastic Tokenization with a Language Model for Neural Text Classification |
Tatsuya Hiraoka, Hiroyuki Shindo, Yuji Matsumoto |
https://www.aclweb.org/anthology/P19-1158.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, reg-labelsmooth, norm-batch, train-mll, arch-lstm, arch-bilstm, arch-att, arch-subword, task-seqlab, task-lm, task-seq2seq |
1 |
Exploring Phoneme-Level Speech Representations for End-to-End Speech Translation |
Elizabeth Salesky, Matthias Sperber, Alan W Black |
https://www.aclweb.org/anthology/P19-1179.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 |
# 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 |
# train-transfer, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-subword, pre-word2vec, pre-elmo, pre-bert, task-textclass, task-seqlab, task-lm, task-seq2seq |
0 |
An Investigation of Transfer Learning-Based Sentiment Analysis in Japanese |
Enkhbold Bataa, Joshua Wu |
https://www.aclweb.org/anthology/P19-1458.pdf |
2019 |
ACL |
# optim-sgd, reg-dropout, train-mtl, train-mll, arch-rnn, arch-lstm, arch-att, arch-bilinear, comb-ensemble, struct-crf, struct-cfg, task-seqlab, task-relation |
2 |
Sequence Labeling Parsing by Learning across Representations |
Michalina Strzyz, David Vilares, Carlos Gómez-Rodríguez |
https://www.aclweb.org/anthology/P19-1531.pdf |
2019 |
ACL |
# optim-adam, init-glorot, reg-dropout, norm-gradient, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-bilinear, task-seqlab, task-relation |
0 |
Deep Dominance - How to Properly Compare Deep Neural Models |
Rotem Dror, Segev Shlomov, Roi Reichart |
https://www.aclweb.org/anthology/P19-1266.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mll, pre-bert, task-seqlab, task-lm, task-relation |
18 |
How Multilingual is Multilingual BERT? |
Telmo Pires, Eva Schlinger, Dan Garrette |
https://www.aclweb.org/anthology/P19-1493.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 |
# train-mll, train-parallel, arch-rnn, arch-att, arch-subword, pre-fasttext, task-seqlab, task-seq2seq, task-lexicon, task-alignment |
1 |
Unsupervised Parallel Sentence Extraction with Parallel Segment Detection Helps Machine Translation |
Viktor Hangya, Alexander Fraser |
https://www.aclweb.org/anthology/P19-1118.pdf |
2019 |
ACL |
# optim-projection, reg-stopping, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-coverage, arch-subword, comb-ensemble, pre-fasttext, struct-crf, task-seqlab, task-lm, task-seq2seq, task-relation, task-lexicon |
3 |
Massively Multilingual Transfer for NER |
Afshin Rahimi, Yuan Li, Trevor Cohn |
https://www.aclweb.org/anthology/P19-1015.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 |
# arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-bilinear, pre-elmo, task-seqlab, task-lm, task-tree |
2 |
End-to-end Deep Reinforcement Learning Based Coreference Resolution |
Hongliang Fei, Xu Li, Dingcheng Li, Ping Li |
https://www.aclweb.org/anthology/P19-1064.pdf |
2019 |
ACL |
# optim-sgd, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-coverage, comb-ensemble, pre-skipthought, pre-bert, task-seqlab |
0 |
Tree LSTMs with Convolution Units to Predict Stance and Rumor Veracity in Social Media Conversations |
Sumeet Kumar, Kathleen Carley |
https://www.aclweb.org/anthology/P19-1498.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, pool-max, arch-lstm, arch-bilstm, arch-treelstm, arch-att, arch-coverage, search-beam, search-viterbi, pre-elmo, struct-crf, task-seqlab, task-seq2seq, task-tree |
0 |
Span-Level Model for Relation Extraction |
Kalpit Dixit, Yaser Al-Onaizan |
https://www.aclweb.org/anthology/P19-1525.pdf |
2019 |
ACL |
# train-mll, struct-crf, latent-vae, task-seqlab, task-tree |
3 |
Quantity Tagger: A Latent-Variable Sequence Labeling Approach to Solving Addition-Subtraction Word Problems |
Yanyan Zou, Wei Lu |
https://www.aclweb.org/anthology/P19-1517.pdf |
2019 |
ACL |
# arch-cnn, pre-word2vec, struct-crf, task-seqlab, task-relation |
1 |
Decompositional Argument Mining: A General Purpose Approach for Argument Graph Construction |
Debela Gemechu, Chris Reed |
https://www.aclweb.org/anthology/P19-1049.pdf |
2019 |
ACL |
# train-mll, arch-rnn, arch-att, arch-subword, arch-transformer, search-beam, task-seqlab, task-seq2seq |
5 |
Zero-Shot Cross-Lingual Abstractive Sentence Summarization through Teaching Generation and Attention |
Xiangyu Duan, Mingming Yin, Min Zhang, Boxing Chen, Weihua Luo |
https://www.aclweb.org/anthology/P19-1305.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-stopping, train-active, arch-rnn, arch-lstm, arch-bilstm, pre-fasttext, loss-nce, task-seqlab, task-relation |
0 |
Analysis of Automatic Annotation Suggestions for Hard Discourse-Level Tasks in Expert Domains |
Claudia Schulz, Christian M. Meyer, Jan Kiesewetter, Michael Sailer, Elisabeth Bauer, Martin R. Fischer, Frank Fischer, Iryna Gurevych |
https://www.aclweb.org/anthology/P19-1265.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 |
# arch-lstm, struct-crf, task-seqlab, task-seq2seq |
0 |
Bayes Test of Precision, Recall, and F1 Measure for Comparison of Two Natural Language Processing Models |
Ruibo Wang, Jihong Li |
https://www.aclweb.org/anthology/P19-1405.pdf |
2019 |
ACL |
# optim-adam, train-mll, train-transfer, train-active, arch-cnn, arch-att, search-viterbi, struct-crf, task-textclass, task-seqlab |
0 |
Learning How to Active Learn by Dreaming |
Thuy-Trang Vu, Ming Liu, Dinh Phung, Gholamreza Haffari |
https://www.aclweb.org/anthology/P19-1401.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-projection, arch-lstm, arch-att, arch-selfatt, struct-crf, task-seqlab, task-relation |
3 |
Crowdsourcing and Aggregating Nested Markable Annotations |
Chris Madge, Juntao Yu, Jon Chamberlain, Udo Kruschwitz, Silviu Paun, Massimo Poesio |
https://www.aclweb.org/anthology/P19-1077.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, init-glorot, reg-dropout, arch-lstm, arch-att, arch-memo, pre-word2vec, latent-topic, task-textpair, task-seqlab, task-condlm |
1 |
Aspect Sentiment Classification Towards Question-Answering with Reinforced Bidirectional Attention Network |
Jingjing Wang, Changlong Sun, Shoushan Li, Xiaozhong Liu, Luo Si, Min Zhang, Guodong Zhou |
https://www.aclweb.org/anthology/P19-1345.pdf |
2019 |
ACL |
# reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-treelstm, arch-cnn, arch-att, arch-subword, struct-crf, task-textclass, task-textpair, task-seqlab, task-lm, task-seq2seq |
10 |
Is Word Segmentation Necessary for Deep Learning of Chinese Representations? |
Xiaoya Li, Yuxian Meng, Xiaofei Sun, Qinghong Han, Arianna Yuan, Jiwei Li |
https://www.aclweb.org/anthology/P19-1314.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, 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 |
# optim-sgd, optim-adam, optim-projection, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-subword, pre-word2vec, pre-fasttext, pre-bert, struct-crf, task-textclass, task-seqlab, task-lm, task-seq2seq, meta-init |
1 |
Few-Shot Representation Learning for Out-Of-Vocabulary Words |
Ziniu Hu, Ting Chen, Kai-Wei Chang, Yizhou Sun |
https://www.aclweb.org/anthology/P19-1402.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, arch-rnn, arch-birnn, arch-lstm, arch-att, arch-selfatt, arch-bilinear, arch-subword, comb-ensemble, pre-elmo, pre-bert, task-seqlab, task-spanlab, task-seq2seq |
0 |
MCˆ2: Multi-perspective Convolutional Cube for Conversational Machine Reading Comprehension |
Xuanyu Zhang |
https://www.aclweb.org/anthology/P19-1622.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, train-mll, arch-lstm, arch-att, task-textclass, task-seqlab |
0 |
You Write like You Eat: Stylistic Variation as a Predictor of Social Stratification |
Angelo Basile, Albert Gatt, Malvina Nissim |
https://www.aclweb.org/anthology/P19-1246.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, optim-projection, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-gnn, arch-cnn, arch-att, task-textclass, task-seqlab, task-lm |
0 |
On-device Structured and Context Partitioned Projection Networks |
Sujith Ravi, Zornitsa Kozareva |
https://www.aclweb.org/anthology/P19-1368.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-transfer, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-subword, pre-fasttext, adv-train, task-textclass, task-seqlab, task-lm |
0 |
Neural Temporality Adaptation for Document Classification: Diachronic Word Embeddings and Domain Adaptation Models |
Xiaolei Huang, Michael J. Paul |
https://www.aclweb.org/anthology/P19-1403.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, reg-dropout, train-mll, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-subword, arch-transformer, task-seqlab, task-seq2seq |
4 |
Assessing the Ability of Self-Attention Networks to Learn Word Order |
Baosong Yang, Longyue Wang, Derek F. Wong, Lidia S. Chao, Zhaopeng Tu |
https://www.aclweb.org/anthology/P19-1354.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-transformer, search-viterbi, pre-skipthought, pre-bert, struct-crf, latent-vae, task-seqlab, task-lm, task-seq2seq |
2 |
Extracting Symptoms and their Status from Clinical Conversations |
Nan Du, Kai Chen, Anjuli Kannan, Linh Tran, Yuhui Chen, Izhak Shafran |
https://www.aclweb.org/anthology/P19-1087.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, optim-projection, arch-lstm, arch-treelstm, arch-att, arch-selfatt, arch-subword, arch-transformer, task-seqlab, task-lm, task-seq2seq |
5 |
Lattice Transformer for Speech Translation |
Pei Zhang, Niyu Ge, Boxing Chen, Kai Fan |
https://www.aclweb.org/anthology/P19-1649.pdf |
2019 |
ACL |
# optim-adam, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-bert, struct-crf, task-seqlab, task-seq2seq |
0 |
Scaling up Open Tagging from Tens to Thousands: Comprehension Empowered Attribute Value Extraction from Product Title |
Huimin Xu, Wenting Wang, Xin Mao, Xinyu Jiang, Man Lan |
https://www.aclweb.org/anthology/P19-1514.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-subword, task-seqlab, task-lm, task-condlm |
1 |
Learning to Discover, Ground and Use Words with Segmental Neural Language Models |
Kazuya Kawakami, Chris Dyer, Phil Blunsom |
https://www.aclweb.org/anthology/P19-1645.pdf |
2019 |
ACL |
# optim-sgd, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, search-beam, task-seqlab, task-lm, task-condlm, task-seq2seq, task-relation |
0 |
Generating Responses with a Specific Emotion in Dialog |
Zhenqiao Song, Xiaoqing Zheng, Lu Liu, Mu Xu, Xuanjing Huang |
https://www.aclweb.org/anthology/P19-1359.pdf |
2019 |
ACL |
# optim-adam, arch-lstm, arch-bilstm, struct-crf, loss-nce, task-seqlab, task-lexicon |
0 |
NNE: A Dataset for Nested Named Entity Recognition in English Newswire |
Nicky Ringland, Xiang Dai, Ben Hachey, Sarvnaz Karimi, Cecile Paris, James R. Curran |
https://www.aclweb.org/anthology/P19-1510.pdf |
2019 |
ACL |
# reg-dropout, train-mtl, train-transfer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-cnn, arch-att, adv-train, task-seqlab |
0 |
Exploiting Entity BIO Tag Embeddings and Multi-task Learning for Relation Extraction with Imbalanced Data |
Wei Ye, Bo Li, Rui Xie, Zhonghao Sheng, Long Chen, Shikun Zhang |
https://www.aclweb.org/anthology/P19-1130.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 |
# reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-gru, arch-att, pre-word2vec, task-textclass, task-seqlab, task-seq2seq |
0 |
Rumor Detection by Exploiting User Credibility Information, Attention and Multi-task Learning |
Quanzhi Li, Qiong Zhang, Luo Si |
https://www.aclweb.org/anthology/P19-1113.pdf |
2019 |
ACL |
# reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-att, arch-transformer, comb-ensemble, pre-word2vec, task-seqlab, task-lm, task-seq2seq, task-relation |
4 |
Open Vocabulary Learning for Neural Chinese Pinyin IME |
Zhuosheng Zhang, Yafang Huang, Hai Zhao |
https://www.aclweb.org/anthology/P19-1154.pdf |
2019 |
ACL |
# optim-adam, arch-rnn, arch-gru, arch-att, arch-copy, arch-transformer, task-seqlab, task-seq2seq, task-relation |
0 |
Ensuring Readability and Data-fidelity using Head-modifier Templates in Deep Type Description Generation |
Jiangjie Chen, Ao Wang, Haiyun Jiang, Suo Feng, Chenguang Li, Yanghua Xiao |
https://www.aclweb.org/anthology/P19-1196.pdf |
2019 |
ACL |
# optim-adam, optim-projection, train-mll, arch-lstm, arch-att, arch-coverage, search-beam, pre-word2vec, pre-bert, nondif-reinforce, latent-vae, task-seqlab, task-condlm, task-seq2seq, task-relation, task-tree, task-graph |
0 |
Rewarding Smatch: Transition-Based AMR Parsing with Reinforcement Learning |
Tahira Naseem, Abhishek Shah, Hui Wan, Radu Florian, Salim Roukos, Miguel Ballesteros |
https://www.aclweb.org/anthology/P19-1451.pdf |
2019 |
ACL |
# reg-labelsmooth, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-subword, search-beam, pre-word2vec, task-seqlab, task-seq2seq, task-relation |
0 |
Poetry to Prose Conversion in Sanskrit as a Linearisation Task: A Case for Low-Resource Languages |
Amrith Krishna, Vishnu Sharma, Bishal Santra, Aishik Chakraborty, Pavankumar Satuluri, Pawan Goyal |
https://www.aclweb.org/anthology/P19-1111.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 |
# arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-gnn, struct-crf, task-seqlab, task-seq2seq |
1 |
A Neural Multi-digraph Model for Chinese NER with Gazetteers |
Ruixue Ding, Pengjun Xie, Xiaoyan Zhang, Wei Lu, Linlin Li, Luo Si |
https://www.aclweb.org/anthology/P19-1141.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, comb-ensemble, task-seqlab, task-tree |
0 |
Using Automatically Extracted Minimum Spans to Disentangle Coreference Evaluation from Boundary Detection |
Nafise Sadat Moosavi, Leo Born, Massimo Poesio, Michael Strube |
https://www.aclweb.org/anthology/P19-1408.pdf |
2019 |
ACL |
# optim-adam, train-transfer, arch-transformer, pre-bert, struct-crf, task-seqlab |
0 |
Label-Agnostic Sequence Labeling by Copying Nearest Neighbors |
Sam Wiseman, Karl Stratos |
https://www.aclweb.org/anthology/P19-1533.pdf |
2019 |
ACL |
# optim-adam, loss-nce, task-seqlab, task-relation, task-tree |
0 |
Women’s Syntactic Resilience and Men’s Grammatical Luck: Gender-Bias in Part-of-Speech Tagging and Dependency Parsing |
Aparna Garimella, Carmen Banea, Dirk Hovy, Rada Mihalcea |
https://www.aclweb.org/anthology/P19-1339.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, pool-max, pool-mean, arch-rnn, arch-lstm, arch-gnn, arch-cnn, arch-att, arch-selfatt, arch-copy, latent-topic, task-textclass, task-seqlab, task-seq2seq, task-graph |
2 |
Coherent Comments Generation for Chinese Articles with a Graph-to-Sequence Model |
Wei Li, Jingjing Xu, Yancheng He, ShengLi Yan, Yunfang Wu, Xu Sun |
https://www.aclweb.org/anthology/P19-1479.pdf |
2019 |
ACL |
# optim-adam, arch-lstm, arch-bilstm, arch-att, arch-coverage, arch-subword, pre-word2vec, pre-fasttext, pre-elmo, pre-bert, task-seqlab |
3 |
Language Modelling Makes Sense: Propagating Representations through WordNet for Full-Coverage Word Sense Disambiguation |
Daniel Loureiro, Alípio Jorge |
https://www.aclweb.org/anthology/P19-1569.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, reg-dropout, train-mtl, train-mll, pool-max, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-coverage, arch-subword, pre-word2vec, pre-fasttext, pre-skipthought, pre-elmo, pre-bert, loss-svd, task-textclass, task-textpair, task-seqlab |
2 |
Robust Representation Learning of Biomedical Names |
Minh C. Phan, Aixin Sun, Yi Tay |
https://www.aclweb.org/anthology/P19-1317.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 |
# optim-adam, reg-dropout, activ-tanh, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, arch-bilinear, arch-energy, search-viterbi, struct-crf, latent-topic, task-seqlab, task-lm |
1 |
DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction |
Huaishao Luo, Tianrui Li, Bing Liu, Junbo Zhang |
https://www.aclweb.org/anthology/P19-1056.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-worddropout, reg-stopping, arch-att, arch-selfatt, arch-subword, arch-transformer, comb-ensemble, pre-fasttext, pre-bert, latent-vae, task-seqlab, task-spanlab, task-lm, task-seq2seq, task-tree |
2 |
Unsupervised Question Answering by Cloze Translation |
Patrick Lewis, Ludovic Denoyer, Sebastian Riedel |
https://www.aclweb.org/anthology/P19-1484.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, optim-projection, init-glorot, reg-dropout, train-transfer, arch-lstm, arch-bilstm, adv-train, loss-nce, task-seqlab, task-relation |
2 |
Reinforced Training Data Selection for Domain Adaptation |
Miaofeng Liu, Yan Song, Hongbin Zou, Tong Zhang |
https://www.aclweb.org/anthology/P19-1189.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mtl, train-mll, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-subword, pre-word2vec, pre-elmo, pre-bert, struct-crf, task-textclass, task-seqlab, task-lm, task-relation |
3 |
Reliability-aware Dynamic Feature Composition for Name Tagging |
Ying Lin, Liyuan Liu, Heng Ji, Dong Yu, Jiawei Han |
https://www.aclweb.org/anthology/P19-1016.pdf |
2019 |
ACL |
# train-mll, task-seqlab, task-graph |
0 |
Is Word Segmentation Child’s Play in All Languages? |
Georgia R. Loukatou, Steven Moran, Damian Blasi, Sabine Stoll, Alejandrina Cristia |
https://www.aclweb.org/anthology/P19-1383.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, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-treelstm, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, task-seqlab, task-seq2seq, task-relation |
5 |
Lattice-Based Transformer Encoder for Neural Machine Translation |
Fengshun Xiao, Jiangtong Li, Hai Zhao, Rui Wang, Kehai Chen |
https://www.aclweb.org/anthology/P19-1298.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, reg-dropout, reg-stopping, train-parallel, arch-lstm, arch-att, comb-ensemble, task-seqlab, task-seq2seq |
0 |
FIESTA: Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms |
Henry Moss, Andrew Moore, David Leslie, Paul Rayson |
https://www.aclweb.org/anthology/P19-1281.pdf |
2019 |
ACL |
# optim-adam, init-glorot, reg-dropout, reg-stopping, norm-layer, pool-max, arch-rnn, arch-lstm, arch-att, comb-ensemble, search-viterbi, struct-crf, struct-cfg, latent-vae, task-seqlab, task-lm, task-graph |
4 |
Compound Probabilistic Context-Free Grammars for Grammar Induction |
Yoon Kim, Chris Dyer, Alexander Rush |
https://www.aclweb.org/anthology/P19-1228.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 |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-att, arch-coverage, search-beam, adv-train, latent-topic, task-seqlab, task-lm, task-seq2seq, task-relation, task-tree |
2 |
Generating Long and Informative Reviews with Aspect-Aware Coarse-to-Fine Decoding |
Junyi Li, Wayne Xin Zhao, Ji-Rong Wen, Yang Song |
https://www.aclweb.org/anthology/P19-1190.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, reg-stopping, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, pre-word2vec, task-seqlab |
0 |
Chinese Relation Extraction with Multi-Grained Information and External Linguistic Knowledge |
Ziran Li, Ning Ding, Zhiyuan Liu, Haitao Zheng, Ying Shen |
https://www.aclweb.org/anthology/P19-1430.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-adam, reg-dropout, train-mll, pool-max, arch-lstm, arch-bilstm, arch-subword, arch-transformer, comb-ensemble, pre-fasttext, loss-margin, task-seqlab, task-seq2seq |
15 |
Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings |
Mikel Artetxe, Holger Schwenk |
https://www.aclweb.org/anthology/P19-1309.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-transformer, pre-bert, struct-crf, task-seqlab, task-lm |
3 |
Merge and Label: A Novel Neural Network Architecture for Nested NER |
Joseph Fisher, Andreas Vlachos |
https://www.aclweb.org/anthology/P19-1585.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-worddropout, reg-stopping, reg-patience, reg-labelsmooth, norm-layer, arch-rnn, arch-att, arch-subword, arch-transformer, search-beam, task-seqlab, task-lm, task-seq2seq, task-alignment |
5 |
Revisiting Low-Resource Neural Machine Translation: A Case Study |
Rico Sennrich, Biao Zhang |
https://www.aclweb.org/anthology/P19-1021.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 |
# optim-adam, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-bilstm, arch-att, comb-ensemble, search-beam, search-viterbi, struct-crf, task-textclass, task-seqlab, task-lm |
0 |
Multi-task Pairwise Neural Ranking for Hashtag Segmentation |
Mounica Maddela, Wei Xu, Daniel Preoţiuc-Pietro |
https://www.aclweb.org/anthology/P19-1242.pdf |
2019 |
ACL |
# optim-adam, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-copy, pre-word2vec, task-seqlab, task-seq2seq |
0 |
Vocabulary Pyramid Network: Multi-Pass Encoding and Decoding with Multi-Level Vocabularies for Response Generation |
Cao Liu, Shizhu He, Kang Liu, Jun Zhao |
https://www.aclweb.org/anthology/P19-1367.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 |
# optim-adam, optim-projection, reg-dropout, reg-norm, reg-labelsmooth, train-mll, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-bert, task-seqlab, task-seq2seq, task-relation |
3 |
Leveraging Local and Global Patterns for Self-Attention Networks |
Mingzhou Xu, Derek F. Wong, Baosong Yang, Yue Zhang, Lidia S. Chao |
https://www.aclweb.org/anthology/P19-1295.pdf |
2019 |
ACL |
# optim-adam, arch-att, arch-selfatt, arch-transformer, pre-bert, task-textpair, task-seqlab, task-graph |
4 |
Identification of Tasks, Datasets, Evaluation Metrics, and Numeric Scores for Scientific Leaderboards Construction |
Yufang Hou, Charles Jochim, Martin Gleize, Francesca Bonin, Debasis Ganguly |
https://www.aclweb.org/anthology/P19-1513.pdf |
2019 |
ACL |
# arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, pre-elmo, loss-nce, task-seqlab |
0 |
Implicit Discourse Relation Identification for Open-domain Dialogues |
Mingyu Derek Ma, Kevin Bowden, Jiaqi Wu, Wen Cui, Marilyn Walker |
https://www.aclweb.org/anthology/P19-1065.pdf |
2019 |
ACL |
# reg-dropout, reg-stopping, train-transfer, arch-lstm, arch-bilstm, arch-att, pre-word2vec, pre-bert, struct-crf, latent-topic, task-seqlab, task-relation |
2 |
Neural Aspect and Opinion Term Extraction with Mined Rules as Weak Supervision |
Hongliang Dai, Yangqiu Song |
https://www.aclweb.org/anthology/P19-1520.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mtl, train-mll, train-transfer, arch-lstm, arch-bilstm, struct-crf, adv-train, task-seqlab, task-lm |
2 |
Adversarial Multitask Learning for Joint Multi-Feature and Multi-Dialect Morphological Modeling |
Nasser Zalmout, Nizar Habash |
https://www.aclweb.org/anthology/P19-1173.pdf |
2019 |
ACL |
# optim-projection, train-mll, arch-rnn, arch-lstm, arch-att, arch-subword, task-seqlab, task-lm, task-seq2seq, task-relation |
1 |
What Kind of Language Is Hard to Language-Model? |
Sebastian J. Mielke, Ryan Cotterell, Kyle Gorman, Brian Roark, Jason Eisner |
https://www.aclweb.org/anthology/P19-1491.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-copy, arch-coverage, task-seqlab, task-lm |
6 |
Barack’s Wife Hillary: Using Knowledge Graphs for Fact-Aware Language Modeling |
Robert Logan, Nelson F. Liu, Matthew E. Peters, Matt Gardner, Sameer Singh |
https://www.aclweb.org/anthology/P19-1598.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, optim-projection, reg-dropout, norm-gradient, train-mtl, train-mll, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, pre-word2vec, struct-crf, adv-examp, adv-train, task-textclass, task-seqlab, task-lm, task-seq2seq |
5 |
Dual Adversarial Neural Transfer for Low-Resource Named Entity Recognition |
Joey Tianyi Zhou, Hao Zhang, Di Jin, Hongyuan Zhu, Meng Fang, Rick Siow Mong Goh, Kenneth Kwok |
https://www.aclweb.org/anthology/P19-1336.pdf |
2019 |
ACL |
# optim-adam, train-mtl, train-mll, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, pre-elmo, pre-bert, task-textclass, task-textpair, task-seqlab, task-lm, task-seq2seq, task-cloze |
27 |
ERNIE: Enhanced Language Representation with Informative Entities |
Zhengyan Zhang, Xu Han, Zhiyuan Liu, Xin Jiang, Maosong Sun, Qun Liu |
https://www.aclweb.org/anthology/P19-1139.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 |
# train-mll, train-transfer, train-augment, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, pre-fasttext, loss-svd, task-seqlab, task-lm, task-seq2seq, task-lexicon |
1 |
Generalized Data Augmentation for Low-Resource Translation |
Mengzhou Xia, Xiang Kong, Antonios Anastasopoulos, Graham Neubig |
https://www.aclweb.org/anthology/P19-1579.pdf |
2019 |
ACL |
# optim-adam, train-active, arch-rnn, arch-lstm, arch-gru, arch-att, arch-memo, latent-vae, task-textclass, task-seqlab |
1 |
Incremental Learning from Scratch for Task-Oriented Dialogue Systems |
Weikang Wang, Jiajun Zhang, Qian Li, Mei-Yuh Hwang, Chengqing Zong, Zhifei Li |
https://www.aclweb.org/anthology/P19-1361.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mtl, train-mll, train-transfer, train-active, arch-lstm, arch-bilstm, arch-att, arch-bilinear, comb-ensemble, search-viterbi, pre-elmo, task-seqlab, task-lm, task-relation, task-tree |
1 |
Semi-supervised Domain Adaptation for Dependency Parsing |
Zhenghua Li, Xue Peng, Min Zhang, Rui Wang, Luo Si |
https://www.aclweb.org/anthology/P19-1229.pdf |
2019 |
ACL |
# train-transfer, arch-att, arch-selfatt, arch-copy, arch-subword, arch-transformer, task-seqlab, task-lm, task-seq2seq |
5 |
Strategies for Structuring Story Generation |
Angela Fan, Mike Lewis, Yann Dauphin |
https://www.aclweb.org/anthology/P19-1254.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, pool-max, arch-lstm, arch-gnn, arch-cnn, arch-att, arch-memo, pre-bert, struct-crf, task-seqlab, task-spanlab |
6 |
Dynamically Fused Graph Network for Multi-hop Reasoning |
Lin Qiu, Yunxuan Xiao, Yanru Qu, Hao Zhou, Lei Li, Weinan Zhang, Yong Yu |
https://www.aclweb.org/anthology/P19-1617.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 |
# arch-lstm, arch-bilstm, arch-att, arch-selfatt, struct-crf, nondif-reinforce, task-seqlab, task-condlm |
0 |
A Prism Module for Semantic Disentanglement in Name Entity Recognition |
Kun Liu, Shen Li, Daqi Zheng, Zhengdong Lu, Sheng Gao, Si Li |
https://www.aclweb.org/anthology/P19-1532.pdf |
2019 |
ACL |
# optim-adam, arch-lstm, arch-att, arch-selfatt, arch-bilinear, arch-transformer, pre-elmo, pre-bert, task-seqlab, task-lm, task-seq2seq, task-relation, meta-arch |
76 |
Energy and Policy Considerations for Deep Learning in NLP |
Emma Strubell, Ananya Ganesh, Andrew McCallum |
https://www.aclweb.org/anthology/P19-1355.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-sgd, optim-adam, optim-projection, reg-dropout, train-mll, train-transfer, arch-lstm, arch-subword, pre-word2vec, pre-elmo, adv-train, loss-svd, task-seqlab, task-lm, task-seq2seq, task-relation, task-lexicon, task-alignment |
1 |
Unsupervised Multilingual Word Embedding with Limited Resources using Neural Language Models |
Takashi Wada, Tomoharu Iwata, Yuji Matsumoto |
https://www.aclweb.org/anthology/P19-1300.pdf |
2019 |
ACL |
# optim-projection, train-mll, train-transfer, train-augment, arch-lstm, arch-cnn, arch-att, arch-bilinear, arch-subword, struct-crf, task-seqlab, task-lm, task-seq2seq, task-relation |
4 |
Choosing Transfer Languages for Cross-Lingual Learning |
Yu-Hsiang Lin, Chian-Yu Chen, Jean Lee, Zirui Li, Yuyan Zhang, Mengzhou Xia, Shruti Rijhwani, Junxian He, Zhisong Zhang, Xuezhe Ma, Antonios Anastasopoulos, Patrick Littell, Graham Neubig |
https://www.aclweb.org/anthology/P19-1301.pdf |
2019 |
ACL |
# optim-adam, train-mll, train-transfer, train-parallel, arch-gru, arch-subword, adv-train, task-seqlab, task-seq2seq, task-lexicon, task-alignment |
0 |
Better OOV Translation with Bilingual Terminology Mining |
Matthias Huck, Viktor Hangya, Alexander Fraser |
https://www.aclweb.org/anthology/P19-1581.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, reg-dropout, train-mll, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-subword, pre-fasttext, pre-paravec, pre-bert, struct-crf, adv-train, task-textclass, task-seqlab, task-seq2seq, task-tree, task-lexicon, task-alignment |
3 |
Multi-Source Cross-Lingual Model Transfer: Learning What to Share |
Xilun Chen, Ahmed Hassan Awadallah, Hany Hassan, Wei Wang, Claire Cardie |
https://www.aclweb.org/anthology/P19-1299.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, init-glorot, reg-dropout, activ-relu, arch-lstm, struct-crf, latent-vae, task-seqlab |
0 |
Combining Spans into Entities: A Neural Two-Stage Approach for Recognizing Discontiguous Entities |
Bailin Wang, Wei Lu |
https://www.aclweb.org/anthology/D19-1644.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, reg-decay, train-mll, train-transfer, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-coverage, arch-transformer, struct-crf, task-seqlab |
1 |
Low-Resource Name Tagging Learned with Weakly Labeled Data |
Yixin Cao, Zikun Hu, Tat-seng Chua, Zhiyuan Liu, Heng Ji |
https://www.aclweb.org/anthology/D19-1025.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-patience, reg-decay, arch-att, arch-coverage, arch-subword, pre-bert, task-seqlab |
13 |
Fine-Grained Analysis of Propaganda in News Article |
Giovanni Da San Martino, Seunghak Yu, Alberto Barrón-Cedeño, Rostislav Petrov, Preslav Nakov |
https://www.aclweb.org/anthology/D19-1565.pdf |
2019 |
EMNLP |
# activ-relu, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-bilinear, comb-ensemble, pre-elmo, pre-bert, struct-crf, task-seqlab, task-relation, task-tree |
1 |
Dependency-Guided LSTM-CRF for Named Entity Recognition |
Zhanming Jie, Wei Lu |
https://www.aclweb.org/anthology/D19-1399.pdf |
2019 |
EMNLP |
# pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-skipthought, pre-bert, struct-crf, task-textclass, task-textpair, task-seqlab, task-lm, task-seq2seq, task-cloze |
0 |
UER: An Open-Source Toolkit for Pre-training Models |
Zhe Zhao, Hui Chen, Jinbin Zhang, Xin Zhao, Tao Liu, Wei Lu, Xi Chen, Haotang Deng, Qi Ju, Xiaoyong Du |
https://www.aclweb.org/anthology/D19-3041.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 |
# arch-lstm, arch-gru, arch-bigru, arch-cnn, arch-att, pre-bert, struct-crf, task-seqlab, task-lm, task-seq2seq |
0 |
Weakly Supervised Attention Networks for Entity Recognition |
Barun Patra, Joel Ruben Antony Moniz |
https://www.aclweb.org/anthology/D19-1652.pdf |
2019 |
EMNLP |
# optim-projection, train-transfer, arch-rnn, arch-lstm, pre-elmo, pre-bert, adv-train, task-textclass, task-seqlab, task-lm, task-cloze |
4 |
Unsupervised Domain Adaptation of Contextualized Embeddings for Sequence Labeling |
Xiaochuang Han, Jacob Eisenstein |
https://www.aclweb.org/anthology/D19-1433.pdf |
2019 |
EMNLP |
# reg-dropout, train-active, arch-lstm, arch-cnn, comb-ensemble, search-viterbi, struct-crf, latent-vae, task-seqlab |
1 |
A Bayesian Approach for Sequence Tagging with Crowds |
Edwin D. Simpson, Iryna Gurevych |
https://www.aclweb.org/anthology/D19-1101.pdf |
2019 |
EMNLP |
# optim-projection, train-mll, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-coverage, arch-subword, struct-crf, task-seqlab, task-seq2seq, task-lexicon, task-alignment |
0 |
Entity Projection via Machine Translation for Cross-Lingual NER |
Alankar Jain, Bhargavi Paranjape, Zachary C. Lipton |
https://www.aclweb.org/anthology/D19-1100.pdf |
2019 |
EMNLP |
# train-mll, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-subword, pre-fasttext, struct-crf, adv-train, latent-vae, task-seqlab, task-seq2seq, task-lexicon |
1 |
Zero-shot Cross-lingual Dialogue Systems with Transferable Latent Variables |
Zihan Liu, Jamin Shin, Yan Xu, Genta Indra Winata, Peng Xu, Andrea Madotto, Pascale Fung |
https://www.aclweb.org/anthology/D19-1129.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 |
# optim-adam, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-bilinear, arch-transformer, pre-word2vec, pre-bert, task-seqlab, task-seq2seq, task-relation, task-tree |
0 |
A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling |
Qingrong Xia, Zhenghua Li, Min Zhang |
https://www.aclweb.org/anthology/D19-1541.pdf |
2019 |
EMNLP |
# reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-copy, arch-coverage, comb-ensemble, search-beam, pre-word2vec, task-seqlab, task-lm, task-relation, task-graph |
0 |
Supervising Unsupervised Open Information Extraction Models |
Arpita Roy, Youngja Park, Taesung Lee, Shimei Pan |
https://www.aclweb.org/anthology/D19-1067.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-decay, norm-layer, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, pre-bert, task-textclass, task-seqlab, task-lm, task-seq2seq |
0 |
Subword Language Model for Query Auto-Completion |
Gyuwan Kim |
https://www.aclweb.org/anthology/D19-1507.pdf |
2019 |
EMNLP |
# train-mtl, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-word2vec, struct-crf, task-seqlab, task-lm, task-seq2seq |
0 |
Multi-Task Learning for Chemical Named Entity Recognition with Chemical Compound Paraphrasing |
Taiki Watanabe, Akihiro Tamura, Takashi Ninomiya, Takuya Makino, Tomoya Iwakura |
https://www.aclweb.org/anthology/D19-1648.pdf |
2019 |
EMNLP |
# arch-lstm, arch-gru, arch-transformer, task-seqlab, task-condlm, task-seq2seq |
2 |
Neural data-to-text generation: A comparison between pipeline and end-to-end architectures |
Thiago Castro Ferreira, Chris van der Lee, Emiel van Miltenburg, Emiel Krahmer |
https://www.aclweb.org/anthology/D19-1052.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gnn, arch-cnn, arch-att, arch-memo, arch-transformer, search-viterbi, pre-word2vec, struct-crf, task-textclass, task-seqlab, task-lm, task-relation |
1 |
A Lexicon-Based Graph Neural Network for Chinese NER |
Tao Gui, Yicheng Zou, Qi Zhang, Minlong Peng, Jinlan Fu, Zhongyu Wei, Xuanjing Huang |
https://www.aclweb.org/anthology/D19-1096.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, reg-dropout, reg-decay, train-mll, train-transfer, pool-max, arch-lstm, arch-att, arch-selfatt, arch-bilinear, arch-subword, arch-transformer, pre-elmo, pre-bert, struct-crf, task-textclass, task-textpair, task-seqlab, task-spanlab, task-lm, task-seq2seq, task-cloze, task-relation |
22 |
Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT |
Shijie Wu, Mark Dredze |
https://www.aclweb.org/anthology/D19-1077.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-lstm, arch-att, pre-elmo, pre-bert, task-textpair, task-seqlab, task-lm |
0 |
Entity, Relation, and Event Extraction with Contextualized Span Representations |
David Wadden, Ulme Wennberg, Yi Luan, Hannaneh Hajishirzi |
https://www.aclweb.org/anthology/D19-1585.pdf |
2019 |
EMNLP |
# optim-adam, train-mll, train-transfer, arch-att, arch-subword, arch-transformer, comb-ensemble, search-beam, adv-train, task-seqlab, task-seq2seq, task-graph |
0 |
Iterative Dual Domain Adaptation for Neural Machine Translation |
Jiali Zeng, Yang Liu, Jinsong Su, Yubing Ge, Yaojie Lu, Yongjing Yin, Jiebo Luo |
https://www.aclweb.org/anthology/D19-1078.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, norm-layer, train-mtl, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-coverage, pre-word2vec, pre-elmo, pre-bert, struct-crf, task-seqlab, task-lm, task-seq2seq |
0 |
Improved Word Sense Disambiguation Using Pre-Trained Contextualized Word Representations |
Christian Hadiwinoto, Hwee Tou Ng, Wee Chung Gan |
https://www.aclweb.org/anthology/D19-1533.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, norm-layer, norm-batch, struct-crf, adv-train, task-textclass, task-seqlab |
0 |
Open Event Extraction from Online Text using a Generative Adversarial Network |
Rui Wang, Deyu Zhou, Yulan He |
https://www.aclweb.org/anthology/D19-1027.pdf |
2019 |
EMNLP |
# arch-lstm, arch-bilstm, arch-cnn, struct-crf, task-seqlab |
0 |
Towards Extracting Medical Family History from Natural Language Interactions: A New Dataset and Baselines |
Mahmoud Azab, Stephane Dadian, Vivi Nastase, Larry An, Rada Mihalcea |
https://www.aclweb.org/anthology/D19-1122.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-projection, train-mll, arch-lstm, arch-bilstm, pre-fasttext, task-seqlab, task-seq2seq |
1 |
Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy Labels |
Lukas Lange, Michael A. Hedderich, Dietrich Klakow |
https://www.aclweb.org/anthology/D19-1362.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, train-mll, arch-cnn, arch-att, arch-gating, arch-coverage, arch-transformer, pre-bert, loss-margin, task-textpair, task-seqlab, task-lm, task-seq2seq |
0 |
Aligning Cross-Lingual Entities with Multi-Aspect Information |
Hsiu-Wei Yang, Yanyan Zou, Peng Shi, Wei Lu, Jimmy Lin, Xu Sun |
https://www.aclweb.org/anthology/D19-1451.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 |
# arch-lstm, arch-bilstm, arch-att, pre-bert, struct-crf, task-seqlab, task-seq2seq |
0 |
Gazetteer-Enhanced Attentive Neural Networks for Named Entity Recognition |
Hongyu Lin, Yaojie Lu, Xianpei Han, Le Sun, Bin Dong, Shanshan Jiang |
https://www.aclweb.org/anthology/D19-1646.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-cnn, arch-att, comb-ensemble, pre-bert, task-textpair, task-seqlab, task-lm |
0 |
IFlyLegal: A Chinese Legal System for Consultation, Law Searching, and Document Analysis |
Ziyue Wang, Baoxin Wang, Xingyi Duan, Dayong Wu, Shijin Wang, Guoping Hu, Ting Liu |
https://www.aclweb.org/anthology/D19-3017.pdf |
2019 |
EMNLP |
# arch-rnn, arch-coverage, task-seqlab, task-tree |
0 |
Entity resolution for noisy ASR transcripts |
Arushi Raghuvanshi, Vijay Ramakrishnan, Varsha Embar, Lucien Carroll, Karthik Raghunathan |
https://www.aclweb.org/anthology/D19-3011.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 |
# arch-rnn, arch-att, task-seqlab, task-seq2seq, task-alignment |
0 |
Revisit Automatic Error Detection for Wrong and Missing Translation – A Supervised Approach |
Wenqiang Lei, Weiwen Xu, Ai Ti Aw, Yuanxin Xiang, Tat Seng Chua |
https://www.aclweb.org/anthology/D19-1087.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-bilinear, search-viterbi, pre-word2vec, pre-skipthought, struct-crf, task-seqlab, task-lm, task-seq2seq, task-relation |
0 |
Learning to Infer Entities, Properties and their Relations from Clinical Conversations |
Nan Du, Mingqiu Wang, Linh Tran, Gang Lee, Izhak Shafran |
https://www.aclweb.org/anthology/D19-1503.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, reg-stopping, train-mll, train-transfer, activ-tanh, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, comb-ensemble, pre-word2vec, adv-train, loss-svd, task-seqlab, task-seq2seq, task-relation, task-alignment |
0 |
Neural Cross-Lingual Relation Extraction Based on Bilingual Word Embedding Mapping |
Jian Ni, Radu Florian |
https://www.aclweb.org/anthology/D19-1038.pdf |
2019 |
EMNLP |
# optim-projection, reg-dropout, train-transfer, arch-lstm, arch-bilstm, arch-att, comb-ensemble, struct-crf, task-textclass, task-seqlab, task-seq2seq |
0 |
Fine-grained Knowledge Fusion for Sequence Labeling Domain Adaptation |
Huiyun Yang, Shujian Huang, Xin-Yu Dai, Jiajun Chen |
https://www.aclweb.org/anthology/D19-1429.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, optim-projection, reg-dropout, norm-layer, train-mll, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-subword, pre-elmo, pre-bert, struct-crf, loss-triplet, task-seqlab, task-lm, task-seq2seq, task-context |
14 |
Cloze-driven Pretraining of Self-attention Networks |
Alexei Baevski, Sergey Edunov, Yinhan Liu, Luke Zettlemoyer, Michael Auli |
https://www.aclweb.org/anthology/D19-1539.pdf |
2019 |
EMNLP |
# optim-adam, train-mtl, train-transfer, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-subword, arch-transformer, search-greedy, search-beam, latent-vae, task-seqlab, task-lm, task-seq2seq, task-tree |
0 |
Latent Part-of-Speech Sequences for Neural Machine Translation |
Xuewen Yang, Yingru Liu, Dongliang Xie, Xin Wang, Niranjan Balasubramanian |
https://www.aclweb.org/anthology/D19-1072.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, reg-dropout, reg-stopping, arch-cnn, comb-ensemble, pre-fasttext, task-textclass, task-seqlab |
0 |
Fine-Grained Entity Typing via Hierarchical Multi Graph Convolutional Networks |
Hailong Jin, Lei Hou, Juanzi Li, Tiansi Dong |
https://www.aclweb.org/anthology/D19-1502.pdf |
2019 |
EMNLP |
# optim-adam, train-augment, arch-lstm, arch-att, arch-coverage, arch-transformer, pre-fasttext, task-seqlab, task-lm, task-seq2seq, task-tree, task-alignment |
0 |
Handling Syntactic Divergence in Low-resource Machine Translation |
Chunting Zhou, Xuezhe Ma, Junjie Hu, Graham Neubig |
https://www.aclweb.org/anthology/D19-1143.pdf |
2019 |
EMNLP |
# optim-adam, optim-adadelta, optim-projection, reg-dropout, train-augment, pool-max, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-transformer, search-greedy, search-beam, pre-elmo, pre-bert, nondif-reinforce, task-textpair, task-seqlab, task-spanlab, task-lm, task-condlm, task-seq2seq |
0 |
Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering |
Shiyue Zhang, Mohit Bansal |
https://www.aclweb.org/anthology/D19-1253.pdf |
2019 |
EMNLP |
# optim-adam, arch-lstm, arch-bilstm, arch-att, arch-memo, pre-bert, loss-nce, task-seqlab, task-relation |
0 |
KnowledgeNet: A Benchmark Dataset for Knowledge Base Population |
Filipe Mesquita, Matteo Cannaviccio, Jordan Schmidek, Paramita Mirza, Denilson Barbosa |
https://www.aclweb.org/anthology/D19-1069.pdf |
2019 |
EMNLP |
# reg-dropout, train-mll, arch-att, arch-coverage, arch-subword, arch-transformer, search-beam, loss-nce, task-seqlab, task-lm, task-seq2seq |
0 |
Investigating the Effectiveness of BPE: The Power of Shorter Sequences |
Matthias Gallé |
https://www.aclweb.org/anthology/D19-1141.pdf |
2019 |
EMNLP |
# optim-adam, arch-lstm, arch-att, arch-selfatt, arch-bilinear, arch-subword, arch-transformer, search-viterbi, pre-elmo, pre-bert, struct-crf, loss-nce, task-seqlab, task-lm |
0 |
Effective Use of Transformer Networks for Entity Tracking |
Aditya Gupta, Greg Durrett |
https://www.aclweb.org/anthology/D19-1070.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-labelsmooth, arch-att, arch-coverage, arch-subword, arch-transformer, search-beam, loss-nce, task-seqlab, task-seq2seq, task-tree |
0 |
Improving Back-Translation with Uncertainty-based Confidence Estimation |
Shuo Wang, Yang Liu, Chao Wang, Huanbo Luan, Maosong Sun |
https://www.aclweb.org/anthology/D19-1073.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-copy, pre-bert, task-seqlab, task-seq2seq |
0 |
Improving Open-Domain Dialogue Systems via Multi-Turn Incomplete Utterance Restoration |
Zhufeng Pan, Kun Bai, Yan Wang, Lianqiang Zhou, Xiaojiang Liu |
https://www.aclweb.org/anthology/D19-1191.pdf |
2019 |
EMNLP |
# optim-adam, reg-stopping, reg-patience, reg-labelsmooth, train-mll, arch-rnn, arch-att, arch-selfatt, arch-residual, arch-copy, arch-coverage, arch-subword, arch-transformer, comb-ensemble, search-beam, task-seqlab, task-seq2seq |
0 |
Deep Copycat Networks for Text-to-Text Generation |
Julia Ive, Pranava Madhyastha, Lucia Specia |
https://www.aclweb.org/anthology/D19-1318.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 |
# train-active, arch-lstm, arch-bilstm, arch-cnn, pre-elmo, pre-bert, struct-crf, task-seqlab, task-lm |
1 |
CrossWeigh: Training Named Entity Tagger from Imperfect Annotations |
Zihan Wang, Jingbo Shang, Liyuan Liu, Lihao Lu, Jiacheng Liu, Jiawei Han |
https://www.aclweb.org/anthology/D19-1519.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, reg-stopping, train-mll, train-transfer, arch-lstm, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-bert, struct-crf, adv-train, task-seqlab, task-lm, task-seq2seq, task-relation, task-lexicon |
0 |
Low-Resource Sequence Labeling via Unsupervised Multilingual Contextualized Representations |
Zuyi Bao, Rui Huang, Chen Li, Kenny Zhu |
https://www.aclweb.org/anthology/D19-1095.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-adam, reg-dropout, arch-lstm, arch-bilstm, arch-att, struct-crf, latent-vae, task-seqlab |
0 |
A Boundary-aware Neural Model for Nested Named Entity Recognition |
Changmeng Zheng, Yi Cai, Jingyun Xu, Ho-fung Leung, Guandong Xu |
https://www.aclweb.org/anthology/D19-1034.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-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-sgd, optim-adam, optim-projection, init-glorot, reg-dropout, train-mll, train-transfer, pool-max, arch-lstm, arch-treelstm, arch-cnn, arch-att, arch-subword, pre-fasttext, adv-train, task-textclass, task-seqlab, task-seq2seq, task-relation, task-alignment |
0 |
Cross-lingual Structure Transfer for Relation and Event Extraction |
Ananya Subburathinam, Di Lu, Heng Ji, Jonathan May, Shih-Fu Chang, Avirup Sil, Clare Voss |
https://www.aclweb.org/anthology/D19-1030.pdf |
2019 |
EMNLP |
# arch-cnn, arch-att, arch-memo, arch-subword, pre-bert, adv-train, task-seqlab |
1 |
OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction |
Xu Han, Tianyu Gao, Yuan Yao, Deming Ye, Zhiyuan Liu, Maosong Sun |
https://www.aclweb.org/anthology/D19-3029.pdf |
2019 |
EMNLP |
# optim-adam, train-mll, arch-att, arch-bilinear, arch-coverage, arch-subword, arch-transformer, comb-ensemble, pre-fasttext, pre-bert, latent-vae, loss-nce, task-seqlab, task-relation, task-alignment |
0 |
Target Language-Aware Constrained Inference for Cross-lingual Dependency Parsing |
Tao Meng, Nanyun Peng, Kai-Wei Chang |
https://www.aclweb.org/anthology/D19-1103.pdf |
2019 |
EMNLP |
# arch-cnn, arch-coverage, task-seqlab, task-relation, task-tree |
0 |
What’s Wrong with Hebrew NLP? And How to Make it Right |
Reut Tsarfaty, Shoval Sadde, Stav Klein, Amit Seker |
https://www.aclweb.org/anthology/D19-3044.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, 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-adam, reg-dropout, reg-stopping, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-bilinear, arch-coverage, arch-subword, arch-transformer, comb-ensemble, pre-fasttext, pre-elmo, struct-crf, latent-vae, task-seqlab, task-lm, task-seq2seq, task-relation, task-tree |
0 |
Semantic Role Labeling with Iterative Structure Refinement |
Chunchuan Lyu, Shay B. Cohen, Ivan Titov |
https://www.aclweb.org/anthology/D19-1099.pdf |
2019 |
EMNLP |
# optim-sgd, optim-projection, reg-dropout, norm-gradient, train-mtl, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-subword, struct-crf, task-seqlab, task-lexicon |
0 |
What Matters for Neural Cross-Lingual Named Entity Recognition: An Empirical Analysis |
Xiaolei Huang, Jonathan May, Nanyun Peng |
https://www.aclweb.org/anthology/D19-1672.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 |
# norm-gradient, arch-rnn, arch-lstm, arch-att, struct-crf, task-seqlab, task-seq2seq |
0 |
Korean Morphological Analysis with Tied Sequence-to-Sequence Multi-Task Model |
Hyun-Je Song, Seong-Bae Park |
https://www.aclweb.org/anthology/D19-1150.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-treelstm, arch-cnn, search-beam, pre-word2vec, struct-crf, latent-vae, task-seqlab, task-lm, task-relation, task-tree |
0 |
Neural Generative Rhetorical Structure Parsing |
Amandla Mabona, Laura Rimell, Stephen Clark, Andreas Vlachos |
https://www.aclweb.org/anthology/D19-1233.pdf |
2019 |
EMNLP |
# optim-adam, pool-max, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-transformer, search-viterbi, struct-crf, task-seqlab |
1 |
Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction |
Shun Zheng, Wei Cao, Wei Xu, Jiang Bian |
https://www.aclweb.org/anthology/D19-1032.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, reg-dropout, train-mll, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, arch-selfatt, arch-memo, search-viterbi, struct-crf, latent-vae, task-seqlab, task-seq2seq |
1 |
Learning Explicit and Implicit Structures for Targeted Sentiment Analysis |
Hao Li, Wei Lu |
https://www.aclweb.org/anthology/D19-1550.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, train-mll, train-transfer, train-active, pre-elmo, pre-bert, adv-train, latent-vae, task-textclass, task-seqlab, task-lm, task-seq2seq, task-lexicon |
2 |
Adversarial Learning with Contextual Embeddings for Zero-resource Cross-lingual Classification and NER |
Phillip Keung, Yichao Lu, Vikas Bhardwaj |
https://www.aclweb.org/anthology/D19-1138.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-stopping, pool-max, arch-lstm, arch-bilstm, arch-att, arch-gating, arch-transformer, comb-ensemble, pre-fasttext, pre-bert, task-seqlab, task-spanlab |
3 |
Don’t Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases |
Christopher Clark, Mark Yatskar, Luke Zettlemoyer |
https://www.aclweb.org/anthology/D19-1418.pdf |
2019 |
EMNLP |
# optim-sgd, init-glorot, reg-dropout, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-cnn, arch-att, arch-memo, search-viterbi, struct-crf, task-seqlab, task-relation |
0 |
Enhancing Dialogue Symptom Diagnosis with Global Attention and Symptom Graph |
Xinzhu Lin, Xiahui He, Qin Chen, Huaixiao Tou, Zhongyu Wei, Ting Chen |
https://www.aclweb.org/anthology/D19-1508.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 |
# arch-lstm, arch-cnn, arch-transformer, pre-bert, struct-crf, task-seqlab, task-lm, task-seq2seq |
0 |
What Part of the Neural Network Does This? Understanding LSTMs by Measuring and Dissecting Neurons |
Ji Xin, Jimmy Lin, Yaoliang Yu |
https://www.aclweb.org/anthology/D19-1591.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 |
# optim-adam, optim-projection, reg-dropout, train-mll, train-transfer, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-memo, loss-svd, task-seqlab, task-seq2seq, task-lexicon, task-alignment |
0 |
Neural Cross-Lingual Event Detection with Minimal Parallel Resources |
Jian Liu, Yubo Chen, Kang Liu, Jun Zhao |
https://www.aclweb.org/anthology/D19-1068.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, init-glorot, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-bilinear, pre-word2vec, struct-crf, adv-train, task-seqlab, task-seq2seq |
3 |
Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning |
Zheng Li, Xin Li, Ying Wei, Lidong Bing, Yu Zhang, Qiang Yang |
https://www.aclweb.org/anthology/D19-1466.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, reg-norm, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, search-viterbi, struct-crf, task-textclass, task-seqlab |
0 |
Leverage Lexical Knowledge for Chinese Named Entity Recognition via Collaborative Graph Network |
Dianbo Sui, Yubo Chen, Kang Liu, Jun Zhao, Shengping Liu |
https://www.aclweb.org/anthology/D19-1396.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, train-mtl, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-att, comb-ensemble, search-beam, search-viterbi, pre-bert, struct-hmm, struct-crf, task-textclass, task-seqlab, task-seq2seq |
0 |
Leveraging Medical Literature for Section Prediction in Electronic Health Records |
Sara Rosenthal, Ken Barker, Zhicheng Liang |
https://www.aclweb.org/anthology/D19-1492.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-labelsmooth, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-subword, arch-transformer, search-beam, pre-elmo, pre-bert, latent-vae, task-seqlab, task-extractive, task-lm, task-seq2seq, task-cloze |
6 |
Text Summarization with Pretrained Encoders |
Yang Liu, Mirella Lapata |
https://www.aclweb.org/anthology/D19-1387.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 |
# reg-norm, train-mll, arch-att, struct-crf, struct-cfg, latent-vae, task-seqlab, task-tree |
1 |
Text2Math: End-to-end Parsing Text into Math Expressions |
Yanyan Zou, Wei Lu |
https://www.aclweb.org/anthology/D19-1536.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, train-transfer, train-active, arch-lstm, arch-bilstm, arch-cnn, arch-subword, struct-crf, latent-topic, task-seqlab, task-seq2seq |
1 |
A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity Recognizers |
Aditi Chaudhary, Jiateng Xie, Zaid Sheikh, Graham Neubig, Jaime Carbonell |
https://www.aclweb.org/anthology/D19-1520.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 |
# train-mll, arch-lstm, arch-bilstm, arch-att, arch-subword, pre-fasttext, pre-bert, task-seqlab, task-lm, task-relation |
3 |
Small and Practical BERT Models for Sequence Labeling |
Henry Tsai, Jason Riesa, Melvin Johnson, Naveen Arivazhagan, Xin Li, Amelia Archer |
https://www.aclweb.org/anthology/D19-1374.pdf |
2019 |
EMNLP |
# optim-projection, train-mll, pool-max, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-subword, task-seqlab, task-seq2seq |
3 |
Multi-Granularity Self-Attention for Neural Machine Translation |
Jie Hao, Xing Wang, Shuming Shi, Jinfeng Zhang, Zhaopeng Tu |
https://www.aclweb.org/anthology/D19-1082.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-adam, reg-dropout, arch-rnn, arch-lstm, arch-cnn, arch-coverage, pre-word2vec, struct-crf, latent-vae, loss-nce, task-seqlab, task-relation |
0 |
Neural Chinese Address Parsing |
Hao Li, Wei Lu, Pengjun Xie, Linlin Li |
https://www.aclweb.org/anthology/N19-1346.pdf |
2019 |
NAA-CL |
# optim-sgd, optim-adam, optim-projection, reg-dropout, arch-rnn, arch-lstm, pre-elmo, loss-cca, loss-svd, task-seqlab, task-lm, task-seq2seq |
13 |
Understanding Learning Dynamics Of Language Models with SVCCA |
Naomi Saphra, Adam Lopez |
https://www.aclweb.org/anthology/N19-1329.pdf |
2019 |
NAA-CL |
# optim-adam, optim-projection, reg-dropout, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-selfatt, comb-ensemble, pre-elmo, pre-bert, struct-crf, task-seqlab, task-lm, task-seq2seq, task-relation, task-tree, task-lexicon, task-alignment |
12 |
Cross-lingual Transfer Learning for Multilingual Task Oriented Dialog |
Sebastian Schuster, Sonal Gupta, Rushin Shah, Mike Lewis |
https://www.aclweb.org/anthology/N19-1380.pdf |
2019 |
NAA-CL |
# optim-adam, train-active, arch-coverage, comb-ensemble, struct-hmm, struct-crf, task-textclass, task-seqlab |
2 |
Active Learning for New Domains in Natural Language Understanding |
Stanislav Peshterliev, John Kearney, Abhyuday Jagannatha, Imre Kiss, Spyros Matsoukas |
https://www.aclweb.org/anthology/N19-2012.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 |
# reg-norm, arch-lstm, arch-bilstm, arch-att, search-viterbi, struct-hmm, struct-crf, latent-vae, task-seqlab |
4 |
Better Modeling of Incomplete Annotations for Named Entity Recognition |
Zhanming Jie, Pengjun Xie, Wei Lu, Ruixue Ding, Linlin Li |
https://www.aclweb.org/anthology/N19-1079.pdf |
2019 |
NAA-CL |
# optim-sgd, reg-dropout, reg-worddropout, reg-patience, pool-max, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-subword, pre-elmo, pre-bert, struct-crf, task-seqlab, task-lm |
27 |
Pooled Contextualized Embeddings for Named Entity Recognition |
Alan Akbik, Tanja Bergmann, Roland Vollgraf |
https://www.aclweb.org/anthology/N19-1078.pdf |
2019 |
NAA-CL |
# arch-lstm, arch-memo, pre-bert, struct-crf, task-seqlab |
3 |
A Silver Standard Corpus of Human Phenotype-Gene Relations |
Diana Sousa, Andre Lamurias, Francisco M. Couto |
https://www.aclweb.org/anthology/N19-1152.pdf |
2019 |
NAA-CL |
# task-seqlab, task-relation |
11 |
Old is Gold: Linguistic Driven Approach for Entity and Relation Linking of Short Text |
Ahmad Sakor, Isaiah Onando Mulang’, Kuldeep Singh, Saeedeh Shekarpour, Maria Esther Vidal, Jens Lehmann, Sören Auer |
https://www.aclweb.org/anthology/N19-1243.pdf |
2019 |
NAA-CL |
# optim-adam, reg-stopping, reg-decay, train-active, arch-lstm, pre-word2vec, latent-vae, task-textclass, task-seqlab |
0 |
Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks |
Maolin Li, Arvid Fahlström Myrman, Tingting Mu, Sophia Ananiadou |
https://www.aclweb.org/anthology/N19-1295.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, 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, arch-rnn, arch-lstm, arch-cnn, arch-att, latent-vae, task-seqlab, task-extractive, task-lm, task-seq2seq |
2 |
Jointly Extracting and Compressing Documents with Summary State Representations |
Afonso Mendes, Shashi Narayan, Sebastião Miranda, Zita Marinho, André F. T. Martins, Shay B. Cohen |
https://www.aclweb.org/anthology/N19-1397.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, reg-stopping, train-mll, arch-rnn, arch-lstm, arch-cnn, arch-subword, search-viterbi, struct-crf, task-textclass, task-seqlab, task-lm, task-seq2seq, task-relation |
3 |
Neural Semi-Markov Conditional Random Fields for Robust Character-Based Part-of-Speech Tagging |
Apostolos Kemos, Heike Adel, Hinrich Schütze |
https://www.aclweb.org/anthology/N19-1280.pdf |
2019 |
NAA-CL |
# optim-adam, optim-projection, init-glorot, reg-dropout, train-mll, train-transfer, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-memo, arch-subword, pre-fasttext, struct-crf, adv-train, loss-svd, task-seqlab, task-lm, task-lexicon, task-alignment |
0 |
Zero-Shot Cross-Lingual Opinion Target Extraction |
Soufian Jebbara, Philipp Cimiano |
https://www.aclweb.org/anthology/N19-1257.pdf |
2019 |
NAA-CL |
# reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, arch-bilinear, arch-coverage, arch-subword, search-beam, search-viterbi, struct-crf, latent-topic, task-textpair, task-seqlab, task-lm, task-seq2seq |
0 |
Incorporating Word Attention into Character-Based Word Segmentation |
Shohei Higashiyama, Masao Utiyama, Eiichiro Sumita, Masao Ideuchi, Yoshiaki Oida, Yohei Sakamoto, Isaac Okada |
https://www.aclweb.org/anthology/N19-1276.pdf |
2019 |
NAA-CL |
# optim-sgd, reg-dropout, train-mtl, train-mll, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, search-viterbi, pre-word2vec, struct-crf, task-textclass, task-seqlab |
1 |
An Encoding Strategy Based Word-Character LSTM for Chinese NER |
Wei Liu, Tongge Xu, Qinghua Xu, Jiayu Song, Yueran Zu |
https://www.aclweb.org/anthology/N19-1247.pdf |
2019 |
NAA-CL |
# optim-adam, pool-max, arch-lstm, arch-coverage, pre-word2vec, struct-crf, task-seqlab |
1 |
TOI-CNN: a Solution of Information Extraction on Chinese Insurance Policy |
Lin Sun, Kai Zhang, Fule Ji, Zhenhua Yang |
https://www.aclweb.org/anthology/N19-2022.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-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-sgd, optim-adam, init-glorot, reg-dropout, arch-lstm, arch-att, search-greedy, search-beam, struct-crf, struct-cfg, task-seqlab, task-relation |
1 |
Discontinuous Constituency Parsing with a Stack-Free Transition System and a Dynamic Oracle |
Maximin Coavoux, Shay B. Cohen |
https://www.aclweb.org/anthology/N19-1018.pdf |
2019 |
NAA-CL |
# optim-sgd, train-mtl, train-mll, train-transfer, arch-lstm, arch-bilstm, comb-ensemble, adv-train, task-seqlab, task-seq2seq |
1 |
Joint Learning of Pre-Trained and Random Units for Domain Adaptation in Part-of-Speech Tagging |
Sara Meftah, Youssef Tamaazousti, Nasredine Semmar, Hassane Essafi, Fatiha Sadat |
https://www.aclweb.org/anthology/N19-1416.pdf |
2019 |
NAA-CL |
# optim-adam, optim-projection, pre-word2vec, task-seqlab |
7 |
Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word Embeddings |
Thomas Manzini, Lim Yao Chong, Alan W Black, Yulia Tsvetkov |
https://www.aclweb.org/anthology/N19-1062.pdf |
2019 |
NAA-CL |
# optim-adam, optim-adagrad, optim-adadelta, optim-projection, reg-dropout, reg-norm, train-mll, train-active, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-gating, arch-bilinear, arch-subword, comb-ensemble, pre-fasttext, pre-elmo, pre-bert, struct-crf, task-seqlab, task-lm, task-seq2seq, task-relation, task-lexicon |
7 |
Polyglot Contextual Representations Improve Crosslingual Transfer |
Phoebe Mulcaire, Jungo Kasai, Noah A. Smith |
https://www.aclweb.org/anthology/N19-1392.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-projection, reg-dropout, train-mtl, arch-lstm, arch-bilstm, arch-cnn, arch-att, search-beam, pre-elmo, struct-crf, adv-train, task-seqlab, task-relation |
10 |
A general framework for information extraction using dynamic span graphs |
Yi Luan, Dave Wadden, Luheng He, Amy Shah, Mari Ostendorf, Hannaneh Hajishirzi |
https://www.aclweb.org/anthology/N19-1308.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-subword, pre-fasttext, task-textclass, task-seqlab |
1 |
Detecting Customer Complaint Escalation with Recurrent Neural Networks and Manually-Engineered Features |
Wei Yang, Luchen Tan, Chunwei Lu, Anqi Cui, Han Li, Xi Chen, Kun Xiong, Muzi Wang, Ming Li, Jian Pei, Jimmy Lin |
https://www.aclweb.org/anthology/N19-2008.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 |
# optim-adam, optim-projection, task-seqlab |
0 |
On the Idiosyncrasies of the Mandarin Chinese Classifier System |
Shijia Liu, Hongyuan Mei, Adina Williams, Ryan Cotterell |
https://www.aclweb.org/anthology/N19-1415.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 |
# optim-sgd, optim-projection, init-glorot, reg-dropout, reg-stopping, arch-rnn, arch-birnn, arch-lstm, arch-gnn, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-transformer, search-beam, struct-crf, task-seqlab, task-lm, task-tree, task-graph |
8 |
Text Generation from Knowledge Graphs with Graph Transformers |
Rik Koncel-Kedziorski, Dhanush Bekal, Yi Luan, Mirella Lapata, Hannaneh Hajishirzi |
https://www.aclweb.org/anthology/N19-1238.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, optim-adam, arch-lstm, arch-att, arch-memo, adv-train, task-textclass, task-seqlab, task-spanlab, task-seq2seq |
0 |
Document-Level Event Factuality Identification via Adversarial Neural Network |
Zhong Qian, Peifeng Li, Qiaoming Zhu, Guodong Zhou |
https://www.aclweb.org/anthology/N19-1287.pdf |
2019 |
NAA-CL |
# arch-rnn, arch-lstm, arch-att, comb-ensemble, search-viterbi, pre-word2vec, struct-hmm, struct-crf, task-seqlab, task-lm |
0 |
Improving Cross-Domain Chinese Word Segmentation with Word Embeddings |
Yuxiao Ye, Weikang Li, Yue Zhang, Likun Qiu, Jian Sun |
https://www.aclweb.org/anthology/N19-1279.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 |
# reg-dropout, train-mtl, train-mll, train-transfer, arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, loss-nce, task-seqlab, task-seq2seq |
24 |
Massively Multilingual Neural Machine Translation |
Roee Aharoni, Melvin Johnson, Orhan Firat |
https://www.aclweb.org/anthology/N19-1388.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, reg-norm, arch-lstm, arch-bilstm, arch-att, task-seqlab, task-lm |
1 |
Improving Distantly-supervised Entity Typing with Compact Latent Space Clustering |
Bo Chen, Xiaotao Gu, Yufeng Hu, Siliang Tang, Guoping Hu, Yueting Zhuang, Xiang Ren |
https://www.aclweb.org/anthology/N19-1294.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, reg-stopping, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-coverage, struct-crf, task-seqlab |
1 |
Neural Lexicons for Slot Tagging in Spoken Language Understanding |
Kyle Williams |
https://www.aclweb.org/anthology/N19-2011.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 |