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, train-transfer, arch-rnn, arch-gru, arch-att, arch-subword, task-lm, task-seq2seq |
3 |
Multimodal Abstractive Summarization for How2 Videos |
Shruti Palaskar, Jindřich Libovický, Spandana Gella, Florian Metze |
https://www.aclweb.org/anthology/P19-1659.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, reg-dropout, train-mtl, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, arch-memo, struct-crf |
0 |
Memory Consolidation for Contextual Spoken Language Understanding with Dialogue Logistic Inference |
He Bai, Yu Zhou, Jiajun Zhang, Chengqing Zong |
https://www.aclweb.org/anthology/P19-1541.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-adam, arch-gru, arch-cnn, arch-att |
0 |
Neural News Recommendation with Topic-Aware News Representation |
Chuhan Wu, Fangzhao Wu, Mingxiao An, Yongfeng Huang, Xing Xie |
https://www.aclweb.org/anthology/P19-1110.pdf |
2019 |
ACL |
# optim-sgd, optim-adadelta, reg-dropout, arch-rnn, arch-gru, arch-att, arch-coverage, arch-subword, arch-transformer, search-greedy, search-beam, nondif-minrisk, task-seq2seq |
8 |
Bridging the Gap between Training and Inference for Neural Machine Translation |
Wen Zhang, Yang Feng, Fandong Meng, Di You, Qun Liu |
https://www.aclweb.org/anthology/P19-1426.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, arch-rnn, arch-lstm, arch-gru, arch-att, comb-ensemble, search-beam, task-lm, task-condlm |
1 |
Generating Question Relevant Captions to Aid Visual Question Answering |
Jialin Wu, Zeyuan Hu, Raymond Mooney |
https://www.aclweb.org/anthology/P19-1348.pdf |
2019 |
ACL |
# optim-adam, init-glorot, train-mtl, arch-rnn, arch-gru, arch-att, pre-word2vec, task-lm, task-seq2seq |
15 |
Disentangled Representation Learning for Non-Parallel Text Style Transfer |
Vineet John, Lili Mou, Hareesh Bahuleyan, Olga Vechtomova |
https://www.aclweb.org/anthology/P19-1041.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 |
# optim-adam, optim-projection, reg-dropout, train-mtl, train-transfer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, arch-coverage, comb-ensemble, search-viterbi, struct-crf, adv-train, task-textclass, task-seq2seq, task-relation |
0 |
A Unified Multi-task Adversarial Learning Framework for Pharmacovigilance Mining |
Shweta Yadav, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya |
https://www.aclweb.org/anthology/P19-1516.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, arch-rnn, arch-gru, arch-att, arch-memo, arch-copy, search-beam, latent-vae, task-lm, task-seq2seq |
0 |
Neural Response Generation with Meta-words |
Can Xu, Wei Wu, Chongyang Tao, Huang Hu, Matt Schuerman, Ying Wang |
https://www.aclweb.org/anthology/P19-1538.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, arch-rnn, arch-gru, arch-gnn, arch-att, arch-selfatt, comb-ensemble, pre-elmo, pre-bert, task-textclass, task-spanlab, task-seq2seq |
6 |
Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs |
Ming Tu, Guangtao Wang, Jing Huang, Yun Tang, Xiaodong He, Bowen Zhou |
https://www.aclweb.org/anthology/P19-1260.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, reg-stopping, train-transfer, arch-gru, arch-gcnn, arch-cnn, arch-att, task-textclass, task-textpair, task-lm, task-seq2seq |
0 |
Hierarchical Transfer Learning for Multi-label Text Classification |
Siddhartha Banerjee, Cem Akkaya, Francisco Perez-Sorrosal, Kostas Tsioutsiouliklis |
https://www.aclweb.org/anthology/P19-1633.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, norm-layer, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, comb-ensemble, task-seq2seq, task-tree |
0 |
Modeling Intra-Relation in Math Word Problems with Different Functional Multi-Head Attentions |
Jierui Li, Lei Wang, Jipeng Zhang, Yan Wang, Bing Tian Dai, Dongxiang Zhang |
https://www.aclweb.org/anthology/P19-1619.pdf |
2019 |
ACL |
# init-glorot, reg-dropout, arch-rnn, arch-birnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-bilinear, pre-elmo, pre-bert, struct-crf, task-textclass |
12 |
Joint Slot Filling and Intent Detection via Capsule Neural Networks |
Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip Yu |
https://www.aclweb.org/anthology/P19-1519.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-gru, arch-att, arch-memo, arch-coverage, pre-bert, task-seq2seq |
0 |
Know More about Each Other: Evolving Dialogue Strategy via Compound Assessment |
Siqi Bao, Huang He, Fan Wang, Rongzhong Lian, Hua Wu |
https://www.aclweb.org/anthology/P19-1535.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, 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-sgd, optim-adam, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-transformer, struct-cfg, adv-train, task-lm, task-seq2seq, task-relation, task-tree |
0 |
Language Modeling with Shared Grammar |
Yuyu Zhang, Le Song |
https://www.aclweb.org/anthology/P19-1437.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, optim-projection, reg-stopping, arch-rnn, arch-lstm, arch-gru, arch-cnn, pre-fasttext, nondif-reinforce, task-textclass, task-lm, task-condlm, task-relation |
2 |
Visually Grounded Neural Syntax Acquisition |
Haoyue Shi, Jiayuan Mao, Kevin Gimpel, Karen Livescu |
https://www.aclweb.org/anthology/P19-1180.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 |
# reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-selfatt, task-seq2seq |
1 |
CNNs found to jump around more skillfully than RNNs: Compositional Generalization in Seq2seq Convolutional Networks |
Roberto Dessì, Marco Baroni |
https://www.aclweb.org/anthology/P19-1381.pdf |
2019 |
ACL |
# optim-adadelta, train-mll, train-transfer, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-memo, comb-ensemble, pre-word2vec, pre-elmo, adv-train, task-lm, task-seq2seq |
0 |
Distilling Discrimination and Generalization Knowledge for Event Detection via Delta-Representation Learning |
Yaojie Lu, Hongyu Lin, Xianpei Han, Le Sun |
https://www.aclweb.org/anthology/P19-1429.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 |
# 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, reg-dropout, reg-worddropout, arch-rnn, arch-lstm, arch-gru, arch-att, arch-copy, search-greedy, task-seq2seq, task-tree |
16 |
Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems |
Chien-Sheng Wu, Andrea Madotto, Ehsan Hosseini-Asl, Caiming Xiong, Richard Socher, Pascale Fung |
https://www.aclweb.org/anthology/P19-1078.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, train-transfer, arch-lstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-subword, arch-transformer, pre-elmo, pre-bert, adv-train, task-textclass, task-lm, task-seq2seq, task-relation |
2 |
Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation Extraction |
Christoph Alt, Marc Hübner, Leonhard Hennig |
https://www.aclweb.org/anthology/P19-1134.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 |
# reg-dropout, norm-layer, pool-mean, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-memo, arch-subword, arch-transformer, search-beam, adv-train, task-seq2seq |
0 |
Reference Network for Neural Machine Translation |
Han Fu, Chenghao Liu, Jianling Sun |
https://www.aclweb.org/anthology/P19-1287.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-gru, arch-att, arch-memo, arch-copy, search-greedy, loss-nce, task-seq2seq |
0 |
A Working Memory Model for Task-oriented Dialog Response Generation |
Xiuyi Chen, Jiaming Xu, Bo Xu |
https://www.aclweb.org/anthology/P19-1258.pdf |
2019 |
ACL |
# optim-adam, norm-gradient, arch-gru, arch-att, comb-ensemble, search-beam, task-seq2seq |
3 |
Learning to Abstract for Memory-augmented Conversational Response Generation |
Zhiliang Tian, Wei Bi, Xiaopeng Li, Nevin L. Zhang |
https://www.aclweb.org/anthology/P19-1371.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 |
# optim-adam, optim-projection, train-mll, arch-gru, arch-att, pre-fasttext, adv-train, task-seq2seq, task-lexicon |
0 |
Multilingual Unsupervised NMT using Shared Encoder and Language-Specific Decoders |
Sukanta Sen, Kamal Kumar Gupta, Asif Ekbal, Pushpak Bhattacharyya |
https://www.aclweb.org/anthology/P19-1297.pdf |
2019 |
ACL |
# optim-adam, init-glorot, train-mtl, pool-max, arch-rnn, arch-gru, arch-bigru, arch-att, search-beam, latent-vae, task-textclass, task-lm, task-seq2seq |
2 |
Unsupervised Neural Single-Document Summarization of Reviews via Learning Latent Discourse Structure and its Ranking |
Masaru Isonuma, Junichiro Mori, Ichiro Sakata |
https://www.aclweb.org/anthology/P19-1206.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 |
# optim-adam, reg-dropout, arch-rnn, arch-gru, arch-att, arch-selfatt, arch-transformer, latent-topic, task-seq2seq |
2 |
Cross-Modal Commentator: Automatic Machine Commenting Based on Cross-Modal Information |
Pengcheng Yang, Zhihan Zhang, Fuli Luo, Lei Li, Chengyang Huang, Xu Sun |
https://www.aclweb.org/anthology/P19-1257.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 |
# 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, reg-dropout, reg-worddropout, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-att, struct-cfg, adv-train, latent-vae, task-lm, task-seq2seq |
0 |
Generating Sentences from Disentangled Syntactic and Semantic Spaces |
Yu Bao, Hao Zhou, Shujian Huang, Lei Li, Lili Mou, Olga Vechtomova, Xin-yu Dai, Jiajun Chen |
https://www.aclweb.org/anthology/P19-1602.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 |
# 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-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-amsgrad, init-glorot, reg-dropout, reg-labelsmooth, norm-gradient, arch-rnn, arch-gru, arch-bigru, arch-att, arch-selfatt, arch-memo, arch-bilinear, search-beam, task-lm, task-condlm, task-seq2seq |
0 |
Ordinal and Attribute Aware Response Generation in a Multimodal Dialogue System |
Hardik Chauhan, Mauajama Firdaus, Asif Ekbal, Pushpak Bhattacharyya |
https://www.aclweb.org/anthology/P19-1540.pdf |
2019 |
ACL |
# optim-adam, reg-stopping, arch-gru, arch-att, pre-bert, task-seq2seq |
0 |
Determining Relative Argument Specificity and Stance for Complex Argumentative Structures |
Esin Durmus, Faisal Ladhak, Claire Cardie |
https://www.aclweb.org/anthology/P19-1456.pdf |
2019 |
ACL |
# optim-adam, reg-stopping, norm-gradient, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-att, arch-copy, search-beam, latent-vae, latent-topic, task-textclass, task-seq2seq |
3 |
Topic-Aware Neural Keyphrase Generation for Social Media Language |
Yue Wang, Jing Li, Hou Pong Chan, Irwin King, Michael R. Lyu, Shuming Shi |
https://www.aclweb.org/anthology/P19-1240.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-labelsmooth, norm-layer, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-memo, arch-copy, arch-coverage, arch-subword, arch-transformer, task-extractive, task-seq2seq, task-tree |
1 |
Keeping Notes: Conditional Natural Language Generation with a Scratchpad Encoder |
Ryan Benmalek, Madian Khabsa, Suma Desu, Claire Cardie, Michele Banko |
https://www.aclweb.org/anthology/P19-1407.pdf |
2019 |
ACL |
# optim-adam, train-mll, train-transfer, activ-tanh, pool-max, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-subword, arch-transformer, pre-bert, task-lm, task-condlm, task-seq2seq |
2 |
Like a Baby: Visually Situated Neural Language Acquisition |
Alexander Ororbia, Ankur Mali, Matthew Kelly, David Reitter |
https://www.aclweb.org/anthology/P19-1506.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-gru, arch-att, arch-selfatt, pre-fasttext, latent-topic, task-textclass, task-lm, task-seq2seq |
0 |
Fine-Grained Spoiler Detection from Large-Scale Review Corpora |
Mengting Wan, Rishabh Misra, Ndapa Nakashole, Julian McAuley |
https://www.aclweb.org/anthology/P19-1248.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, 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, norm-gradient, arch-rnn, arch-gru, arch-bigru, arch-att, pre-word2vec, latent-vae, task-seq2seq |
1 |
Modeling Semantic Relationship in Multi-turn Conversations with Hierarchical Latent Variables |
Lei Shen, Yang Feng, Haolan Zhan |
https://www.aclweb.org/anthology/P19-1549.pdf |
2019 |
ACL |
# init-glorot, arch-rnn, arch-lstm, arch-gru, comb-ensemble, struct-hmm, loss-svd, task-lm |
0 |
Interpolated Spectral NGram Language Models |
Ariadna Quattoni, Xavier Carreras |
https://www.aclweb.org/anthology/P19-1594.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-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 |
# 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, 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 |
# 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, 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-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-adam, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-subword, latent-vae, loss-margin, task-seq2seq |
2 |
Latent Variable Model for Multi-modal Translation |
Iacer Calixto, Miguel Rios, Wilker Aziz |
https://www.aclweb.org/anthology/P19-1642.pdf |
2019 |
ACL |
# optim-adam, arch-rnn, arch-lstm, arch-gru, arch-att, arch-memo, arch-coverage, search-beam, pre-word2vec, task-lm, task-seq2seq |
0 |
Abstractive Text Summarization Based on Deep Learning and Semantic Content Generalization |
Panagiotis Kouris, Georgios Alexandridis, Andreas Stafylopatis |
https://www.aclweb.org/anthology/P19-1501.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, 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, arch-rnn, arch-gru, arch-att, arch-copy, arch-transformer, search-greedy, search-beam, nondif-reinforce, latent-topic, task-condlm, task-seq2seq |
2 |
Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards |
Hou Pong Chan, Wang Chen, Lu Wang, Irwin King |
https://www.aclweb.org/anthology/P19-1208.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-adam, arch-rnn, arch-gru, arch-att, arch-transformer, pre-word2vec, pre-bert |
4 |
Proactive Human-Machine Conversation with Explicit Conversation Goal |
Wenquan Wu, Zhen Guo, Xiangyang Zhou, Hua Wu, Xiyuan Zhang, Rongzhong Lian, Haifeng Wang |
https://www.aclweb.org/anthology/P19-1369.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-patience, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, pre-word2vec, task-textclass, task-extractive, task-lm, task-seq2seq |
11 |
Is Attention Interpretable? |
Sofia Serrano, Noah A. Smith |
https://www.aclweb.org/anthology/P19-1282.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 |
# 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, reg-dropout, activ-relu, pool-max, arch-rnn, arch-gru, arch-bigru, task-lm, task-seq2seq |
1 |
Numeracy-600K: Learning Numeracy for Detecting Exaggerated Information in Market Comments |
Chung-Chi Chen, Hen-Hsen Huang, Hiroya Takamura, Hsin-Hsi Chen |
https://www.aclweb.org/anthology/P19-1635.pdf |
2019 |
ACL |
# optim-adam, norm-layer, train-transfer, pool-max, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, task-lm, task-seq2seq |
1 |
A Compact and Language-Sensitive Multilingual Translation Method |
Yining Wang, Long Zhou, Jiajun Zhang, Feifei Zhai, Jingfang Xu, Chengqing Zong |
https://www.aclweb.org/anthology/P19-1117.pdf |
2019 |
ACL |
# optim-adam, train-mtl, train-mll, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-cnn, arch-att, comb-ensemble, struct-crf, task-seq2seq, task-tree |
2 |
Robust Zero-Shot Cross-Domain Slot Filling with Example Values |
Darsh Shah, Raghav Gupta, Amir Fayazi, Dilek Hakkani-Tur |
https://www.aclweb.org/anthology/P19-1547.pdf |
2019 |
ACL |
# optim-adam, optim-projection, norm-layer, arch-rnn, arch-lstm, arch-gru, arch-att, arch-transformer, pre-bert |
5 |
SUMBT: Slot-Utterance Matching for Universal and Scalable Belief Tracking |
Hwaran Lee, Jinsik Lee, Tae-Yoon Kim |
https://www.aclweb.org/anthology/P19-1546.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, reg-dropout, train-mtl, train-transfer, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, arch-transformer, pre-elmo, pre-bert, task-textclass, task-textpair, task-spanlab, task-lm, task-cloze |
116 |
Multi-Task Deep Neural Networks for Natural Language Understanding |
Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao |
https://www.aclweb.org/anthology/P19-1441.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-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 |
# optim-adam, reg-dropout, norm-layer, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, arch-memo, pre-word2vec, pre-elmo, pre-bert, task-textclass |
4 |
One Time of Interaction May Not Be Enough: Go Deep with an Interaction-over-Interaction Network for Response Selection in Dialogues |
Chongyang Tao, Wei Wu, Can Xu, Wenpeng Hu, Dongyan Zhao, Rui Yan |
https://www.aclweb.org/anthology/P19-1001.pdf |
2019 |
ACL |
# arch-lstm, arch-gru, arch-treelstm, arch-att, arch-selfatt, arch-subword, arch-transformer, comb-ensemble, search-beam, pre-fasttext, pre-bert, task-seq2seq |
2 |
Generating Diverse Translations with Sentence Codes |
Raphael Shu, Hideki Nakayama, Kyunghyun Cho |
https://www.aclweb.org/anthology/P19-1177.pdf |
2019 |
ACL |
# arch-lstm, arch-gru, arch-att, arch-selfatt, arch-memo, arch-copy, arch-bilinear, arch-coverage, search-beam, task-lm, task-condlm, task-seq2seq |
2 |
PaperRobot: Incremental Draft Generation of Scientific Ideas |
Qingyun Wang, Lifu Huang, Zhiying Jiang, Kevin Knight, Heng Ji, Mohit Bansal, Yi Luan |
https://www.aclweb.org/anthology/P19-1191.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-sgd, optim-adam, optim-projection, reg-dropout, norm-layer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, arch-gating, arch-transformer, comb-ensemble, pre-fasttext, task-spanlab, task-seq2seq |
1 |
Token-level Dynamic Self-Attention Network for Multi-Passage Reading Comprehension |
Yimeng Zhuang, Huadong Wang |
https://www.aclweb.org/anthology/P19-1218.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-stopping, norm-gradient, train-mtl, arch-rnn, arch-gru, arch-att, arch-selfatt, arch-gating, task-seq2seq, task-relation, task-tree |
3 |
Symbolic Inductive Bias for Visually Grounded Learning of Spoken Language |
Grzegorz Chrupała |
https://www.aclweb.org/anthology/P19-1647.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, arch-rnn, arch-gru, arch-att, comb-ensemble, task-lm, task-seq2seq |
2 |
Dual Supervised Learning for Natural Language Understanding and Generation |
Shang-Yu Su, Chao-Wei Huang, Yun-Nung Chen |
https://www.aclweb.org/anthology/P19-1545.pdf |
2019 |
ACL |
# optim-adam, pool-max, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-memo, adv-train, task-spanlab, task-lm, task-seq2seq |
0 |
Asking the Crowd: Question Analysis, Evaluation and Generation for Open Discussion on Online Forums |
Zi Chai, Xinyu Xing, Xiaojun Wan, Bo Huang |
https://www.aclweb.org/anthology/P19-1497.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 |
# arch-rnn, arch-lstm, arch-gru, arch-gnn, arch-att, arch-selfatt, task-seq2seq, task-tree |
5 |
Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing |
Ben Bogin, Jonathan Berant, Matt Gardner |
https://www.aclweb.org/anthology/P19-1448.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 |
# optim-adam, norm-gradient, arch-rnn, arch-gru, arch-att, arch-memo, search-beam, latent-vae, task-textclass, task-seq2seq |
1 |
Fine-Grained Sentence Functions for Short-Text Conversation |
Wei Bi, Jun Gao, Xiaojiang Liu, Shuming Shi |
https://www.aclweb.org/anthology/P19-1389.pdf |
2019 |
ACL |
# arch-gru, arch-att, arch-copy, task-seq2seq |
2 |
Unsupervised Neural Text Simplification |
Sai Surya, Abhijit Mishra, Anirban Laha, Parag Jain, Karthik Sankaranarayanan |
https://www.aclweb.org/anthology/P19-1198.pdf |
2019 |
EMNLP |
# init-glorot, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-cnn, arch-att, arch-selfatt, arch-transformer, comb-ensemble, pre-bert, latent-vae, task-lm, task-seq2seq |
0 |
Parallel Iterative Edit Models for Local Sequence Transduction |
Abhijeet Awasthi, Sunita Sarawagi, Rasna Goyal, Sabyasachi Ghosh, Vihari Piratla |
https://www.aclweb.org/anthology/D19-1435.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, pool-max, arch-gru, arch-gnn, arch-cnn, arch-att, arch-coverage, task-seq2seq |
0 |
Learning to Update Knowledge Graphs by Reading News |
Jizhi Tang, Yansong Feng, Dongyan Zhao |
https://www.aclweb.org/anthology/D19-1265.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-gru, arch-att, search-beam, task-spanlab, task-lm, task-seq2seq |
0 |
Multi-task Learning for Natural Language Generation in Task-Oriented Dialogue |
Chenguang Zhu, Michael Zeng, Xuedong Huang |
https://www.aclweb.org/anthology/D19-1123.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-gru, arch-att, arch-copy, search-greedy, task-textpair, task-seq2seq |
0 |
Enhancing Neural Data-To-Text Generation Models with External Background Knowledge |
Shuang Chen, Jinpeng Wang, Xiaocheng Feng, Feng Jiang, Bing Qin, Chin-Yew Lin |
https://www.aclweb.org/anthology/D19-1299.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 |
# 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-mtl, arch-rnn, arch-gru, arch-cnn, arch-att, arch-memo, search-beam, search-viterbi, nondif-reinforce, latent-vae, task-seq2seq |
0 |
Low-Resource Response Generation with Template Prior |
Ze Yang, Wei Wu, Jian Yang, Can Xu, Zhoujun Li |
https://www.aclweb.org/anthology/D19-1197.pdf |
2019 |
EMNLP |
# arch-rnn, arch-gru, arch-att, arch-transformer, pre-bert, task-textclass, task-lm |
1 |
Trouble on the Horizon: Forecasting the Derailment of Online Conversations as they Develop |
Jonathan P. Chang, Cristian Danescu-Niculescu-Mizil |
https://www.aclweb.org/anthology/D19-1481.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 |
# 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-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-att, arch-memo, arch-coverage, pre-word2vec, struct-crf, task-seq2seq |
0 |
A Knowledge Regularized Hierarchical Approach for Emotion Cause Analysis |
Chuang Fan, Hongyu Yan, Jiachen Du, Lin Gui, Lidong Bing, Min Yang, Ruifeng Xu, Ruibin Mao |
https://www.aclweb.org/anthology/D19-1563.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, arch-bilinear, pre-word2vec, pre-elmo, task-seq2seq, task-relation |
0 |
Hierarchical Pointer Net Parsing |
Linlin Liu, Xiang Lin, Shafiq Joty, Simeng Han, Lidong Bing |
https://www.aclweb.org/anthology/D19-1093.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-copy, arch-coverage, pre-word2vec, latent-vae, task-lm, task-seq2seq |
0 |
Unsupervised Context Rewriting for Open Domain Conversation |
Kun Zhou, Kai Zhang, Yu Wu, Shujie Liu, Jingsong Yu |
https://www.aclweb.org/anthology/D19-1192.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-patience, arch-rnn, arch-gru, arch-att, arch-copy, search-beam, task-seq2seq |
0 |
Modeling Multi-Action Policy for Task-Oriented Dialogues |
Lei Shu, Hu Xu, Bing Liu, Piero Molino |
https://www.aclweb.org/anthology/D19-1130.pdf |
2019 |
EMNLP |
# reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-memo |
0 |
Aspect-Level Sentiment Analysis Via Convolution over Dependency Tree |
Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu |
https://www.aclweb.org/anthology/D19-1569.pdf |
2019 |
EMNLP |
# reg-dropout, reg-worddropout, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-coverage, pre-word2vec, struct-crf, task-textclass, task-lm, task-seq2seq |
0 |
Training Data Augmentation for Detecting Adverse Drug Reactions in User-Generated Content |
Sepideh Mesbah, Jie Yang, Robert-Jan Sips, Manuel Valle Torre, Christoph Lofi, Alessandro Bozzon, Geert-Jan Houben |
https://www.aclweb.org/anthology/D19-1239.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 |
# optim-adam, init-glorot, norm-gradient, arch-gru, arch-bigru, arch-att, adv-train, latent-vae, task-seq2seq |
0 |
Answer-guided and Semantic Coherent Question Generation in Open-domain Conversation |
Weichao Wang, Shi Feng, Daling Wang, Yifei Zhang |
https://www.aclweb.org/anthology/D19-1511.pdf |
2019 |
EMNLP |
# optim-projection, reg-dropout, train-mtl, train-parallel, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-gating, arch-memo, arch-coverage, arch-transformer, pre-bert |
1 |
Different Absorption from the Same Sharing: Sifted Multi-task Learning for Fake News Detection |
Lianwei Wu, Yuan Rao, Haolin Jin, Ambreen Nazir, Ling Sun |
https://www.aclweb.org/anthology/D19-1471.pdf |
2019 |
EMNLP |
# reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, task-textclass, task-seq2seq |
0 |
Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification |
Jiawei Wu, Wenhan Xiong, William Yang Wang |
https://www.aclweb.org/anthology/D19-1444.pdf |
2019 |
EMNLP |
# reg-dropout, reg-worddropout, train-transfer, pool-max, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-cnn, arch-att, latent-vae, latent-topic, task-textclass, task-lm, task-seq2seq |
0 |
A Topic Augmented Text Generation Model: Joint Learning of Semantics and Structural Features |
Hongyin Tang, Miao Li, Beihong Jin |
https://www.aclweb.org/anthology/D19-1513.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, activ-tanh, arch-rnn, arch-gru, arch-bigru, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-bert, loss-nce, task-seq2seq, task-relation |
0 |
Minimally Supervised Learning of Affective Events Using Discourse Relations |
Jun Saito, Yugo Murawaki, Sadao Kurohashi |
https://www.aclweb.org/anthology/D19-1581.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, train-mtl, train-mll, pool-max, arch-rnn, arch-lstm, arch-gru, arch-att, arch-memo, arch-subword, struct-crf, task-seq2seq |
0 |
Modeling Conversation Structure and Temporal Dynamics for Jointly Predicting Rumor Stance and Veracity |
Penghui Wei, Nan Xu, Wenji Mao |
https://www.aclweb.org/anthology/D19-1485.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-adam, arch-rnn, arch-gru, arch-bigru, arch-att, arch-copy, arch-subword, pre-bert, task-textclass, task-lm, task-seq2seq |
1 |
Generating Personalized Recipes from Historical User Preferences |
Bodhisattwa Prasad Majumder, Shuyang Li, Jianmo Ni, Julian McAuley |
https://www.aclweb.org/anthology/D19-1613.pdf |
2019 |
EMNLP |
# optim-projection, arch-gru, arch-att, task-condlm, task-seq2seq |
0 |
REO-Relevance, Extraness, Omission: A Fine-grained Evaluation for Image Captioning |
Ming Jiang, Junjie Hu, Qiuyuan Huang, Lei Zhang, Jana Diesner, Jianfeng Gao |
https://www.aclweb.org/anthology/D19-1156.pdf |
2019 |
EMNLP |
# optim-adam, arch-gru, arch-memo, arch-transformer, pre-bert, task-lm, task-seq2seq |
0 |
WikiCREM: A Large Unsupervised Corpus for Coreference Resolution |
Vid Kocijan, Oana-Maria Camburu, Ana-Maria Cretu, Yordan Yordanov, Phil Blunsom, Thomas Lukasiewicz |
https://www.aclweb.org/anthology/D19-1439.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-gru, arch-att, arch-subword, search-beam, pre-fasttext, pre-bert, task-textclass, task-lm, task-seq2seq, task-cloze |
1 |
Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects |
Jianmo Ni, Jiacheng Li, Julian McAuley |
https://www.aclweb.org/anthology/D19-1018.pdf |
2019 |
EMNLP |
# optim-adam, reg-stopping, arch-rnn, arch-gru, arch-att, arch-memo, pre-word2vec, latent-vae |
0 |
A Semi-Supervised Stable Variational Network for Promoting Replier-Consistency in Dialogue Generation |
Jinxin Chang, Ruifang He, Longbiao Wang, Xiangyu Zhao, Ting Yang, Ruifang Wang |
https://www.aclweb.org/anthology/D19-1200.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-adam, arch-gru, arch-att, search-beam, latent-vae, task-seq2seq |
1 |
A Discrete CVAE for Response Generation on Short-Text Conversation |
Jun Gao, Wei Bi, Xiaojiang Liu, Junhui Li, Guodong Zhou, Shuming Shi |
https://www.aclweb.org/anthology/D19-1198.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, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-transformer, task-seq2seq, task-tree |
0 |
Asking Clarification Questions in Knowledge-Based Question Answering |
Jingjing Xu, Yuechen Wang, Duyu Tang, Nan Duan, Pengcheng Yang, Qi Zeng, Ming Zhou, Xu Sun |
https://www.aclweb.org/anthology/D19-1172.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-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 |
# optim-adam, optim-projection, arch-lstm, arch-gru, arch-cnn, pre-word2vec, pre-skipthought, task-textpair, task-lm, task-seq2seq, task-lexicon |
0 |
Incorporating Visual Semantics into Sentence Representations within a Grounded Space |
Patrick Bordes, Eloi Zablocki, Laure Soulier, Benjamin Piwowarski, Patrick Gallinari |
https://www.aclweb.org/anthology/D19-1064.pdf |
2019 |
EMNLP |
# optim-projection, arch-rnn, arch-gru, latent-vae, latent-topic, task-seq2seq |
0 |
Variational Hierarchical User-based Conversation Model |
JinYeong Bak, Alice Oh |
https://www.aclweb.org/anthology/D19-1202.pdf |
2019 |
EMNLP |
# optim-adam, optim-adagrad, reg-dropout, arch-rnn, arch-birnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-bilinear, arch-coverage, search-beam, task-extractive, task-seq2seq |
0 |
How to Write Summaries with Patterns? Learning towards Abstractive Summarization through Prototype Editing |
Shen Gao, Xiuying Chen, Piji Li, Zhangming Chan, Dongyan Zhao, Rui Yan |
https://www.aclweb.org/anthology/D19-1388.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, arch-gru, arch-cnn, arch-att, arch-coverage, task-lm |
0 |
Neural News Recommendation with Heterogeneous User Behavior |
Chuhan Wu, Fangzhao Wu, Mingxiao An, Tao Qi, Jianqiang Huang, Yongfeng Huang, Xing Xie |
https://www.aclweb.org/anthology/D19-1493.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, reg-decay, arch-rnn, arch-lstm, arch-gru, arch-att, arch-memo, latent-vae, latent-topic, loss-svd, task-lm, task-seq2seq |
0 |
Adaptive Parameterization for Neural Dialogue Generation |
Hengyi Cai, Hongshen Chen, Cheng Zhang, Yonghao Song, Xiaofang Zhao, Dawei Yin |
https://www.aclweb.org/anthology/D19-1188.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, reg-dropout, train-mtl, train-transfer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-cnn, arch-att, arch-memo, adv-train |
0 |
Domain Adaptation for Person-Job Fit with Transferable Deep Global Match Network |
Shuqing Bian, Wayne Xin Zhao, Yang Song, Tao Zhang, Ji-Rong Wen |
https://www.aclweb.org/anthology/D19-1487.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 |
# optim-adam, init-glorot, arch-rnn, arch-gru, arch-att, pre-word2vec, pre-elmo, task-condlm |
2 |
Integrating Text and Image: Determining Multimodal Document Intent in Instagram Posts |
Julia Kruk, Jonah Lubin, Karan Sikka, Xiao Lin, Dan Jurafsky, Ajay Divakaran |
https://www.aclweb.org/anthology/D19-1469.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 |
# 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, 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, arch-rnn, arch-lstm, arch-gru, arch-att, arch-transformer, task-condlm, task-seq2seq |
0 |
Compositional Generalization for Primitive Substitutions |
Yuanpeng Li, Liang Zhao, Jianyu Wang, Joel Hestness |
https://www.aclweb.org/anthology/D19-1438.pdf |
2019 |
EMNLP |
# optim-projection, arch-rnn, arch-gru, arch-att, arch-bilinear, adv-examp, task-lm, task-condlm, task-seq2seq |
0 |
TIGEr: Text-to-Image Grounding for Image Caption Evaluation |
Ming Jiang, Qiuyuan Huang, Lei Zhang, Xin Wang, Pengchuan Zhang, Zhe Gan, Jana Diesner, Jianfeng Gao |
https://www.aclweb.org/anthology/D19-1220.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, search-beam, adv-train, task-seq2seq |
0 |
Towards Controllable and Personalized Review Generation |
Pan Li, Alexander Tuzhilin |
https://www.aclweb.org/anthology/D19-1319.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, reg-dropout, reg-patience, arch-rnn, arch-birnn, arch-lstm, arch-gru, arch-att, arch-selfatt, struct-crf, task-lm, task-seq2seq |
0 |
CASA-NLU: Context-Aware Self-Attentive Natural Language Understanding for Task-Oriented Chatbots |
Arshit Gupta, Peng Zhang, Garima Lalwani, Mona Diab |
https://www.aclweb.org/anthology/D19-1127.pdf |
2019 |
EMNLP |
# optim-adam, pool-max, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-memo, pre-word2vec, task-alignment |
0 |
Multi-hop Selector Network for Multi-turn Response Selection in Retrieval-based Chatbots |
Chunyuan Yuan, Wei Zhou, Mingming Li, Shangwen Lv, Fuqing Zhu, Jizhong Han, Songlin Hu |
https://www.aclweb.org/anthology/D19-1011.pdf |
2019 |
EMNLP |
# train-transfer, arch-gru, task-lm, task-condlm, task-seq2seq |
1 |
Domain Adaptive Text Style Transfer |
Dianqi Li, Yizhe Zhang, Zhe Gan, Yu Cheng, Chris Brockett, Bill Dolan, Ming-Ting Sun |
https://www.aclweb.org/anthology/D19-1325.pdf |
2019 |
EMNLP |
# init-glorot, arch-lstm, arch-gru, search-sampling, pre-fasttext, latent-vae, task-textclass, task-lm, task-seq2seq |
1 |
Implicit Deep Latent Variable Models for Text Generation |
Le Fang, Chunyuan Li, Jianfeng Gao, Wen Dong, Changyou Chen |
https://www.aclweb.org/anthology/D19-1407.pdf |
2019 |
EMNLP |
# reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-att, arch-memo, arch-copy, task-seq2seq |
0 |
Task-Oriented Conversation Generation Using Heterogeneous Memory Networks |
Zehao Lin, Xinjing Huang, Feng Ji, Haiqing Chen, Yin Zhang |
https://www.aclweb.org/anthology/D19-1463.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-adam, train-mtl, train-augment, arch-gru, task-lm, task-seq2seq |
1 |
Structuring Latent Spaces for Stylized Response Generation |
Xiang Gao, Yizhe Zhang, Sungjin Lee, Michel Galley, Chris Brockett, Jianfeng Gao, Bill Dolan |
https://www.aclweb.org/anthology/D19-1190.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, 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-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, arch-rnn, arch-lstm, arch-gru, arch-att, arch-memo, adv-train, task-lm, task-condlm, task-seq2seq |
0 |
ARAML: A Stable Adversarial Training Framework for Text Generation |
Pei Ke, Fei Huang, Minlie Huang, Xiaoyan Zhu |
https://www.aclweb.org/anthology/D19-1436.pdf |
2019 |
EMNLP |
# optim-adam, arch-lstm, arch-gru, arch-cnn, arch-att, arch-memo, arch-copy, nondif-minrisk, nondif-reinforce, task-seq2seq |
0 |
Learning the Extraction Order of Multiple Relational Facts in a Sentence with Reinforcement Learning |
Xiangrong Zeng, Shizhu He, Daojian Zeng, Kang Liu, Shengping Liu, Jun Zhao |
https://www.aclweb.org/anthology/D19-1035.pdf |
2019 |
EMNLP |
# optim-adam, norm-layer, train-mll, train-augment, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-bilinear, arch-transformer, pre-elmo, pre-bert, task-lm, task-condlm, task-seq2seq |
19 |
LXMERT: Learning Cross-Modality Encoder Representations from Transformers |
Hao Tan, Mohit Bansal |
https://www.aclweb.org/anthology/D19-1514.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, train-mtl, arch-lstm, arch-gru, arch-bigru, arch-cnn, arch-att, arch-selfatt, loss-cca, task-seq2seq |
0 |
Context-aware Interactive Attention for Multi-modal Sentiment and Emotion Analysis |
Dushyant Singh Chauhan, Md Shad Akhtar, Asif Ekbal, Pushpak Bhattacharyya |
https://www.aclweb.org/anthology/D19-1566.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, norm-gradient, pool-mean, arch-rnn, arch-gru, arch-att, arch-coverage, search-beam, adv-train, latent-vae, task-seq2seq |
0 |
Long and Diverse Text Generation with Planning-based Hierarchical Variational Model |
Zhihong Shao, Minlie Huang, Jiangtao Wen, Wenfei Xu, Xiaoyan Zhu |
https://www.aclweb.org/anthology/D19-1321.pdf |
2019 |
EMNLP |
# optim-sgd, init-glorot, train-mtl, train-transfer, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-memo, adv-train |
0 |
Domain-Invariant Feature Distillation for Cross-Domain Sentiment Classification |
Mengting Hu, Yike Wu, Shiwan Zhao, Honglei Guo, Renhong Cheng, Zhong Su |
https://www.aclweb.org/anthology/D19-1558.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-projection, arch-rnn, arch-gru, arch-att, arch-selfatt, arch-subword, arch-transformer, task-seq2seq, task-relation |
0 |
Recurrent Positional Embedding for Neural Machine Translation |
Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita |
https://www.aclweb.org/anthology/D19-1139.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-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-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, optim-projection, reg-dropout, train-transfer, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-gnn, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-bilinear, pre-word2vec, pre-bert, task-seq2seq, task-relation, task-tree |
0 |
Leveraging Dependency Forest for Neural Medical Relation Extraction |
Linfeng Song, Yue Zhang, Daniel Gildea, Mo Yu, Zhiguo Wang, Jinsong Su |
https://www.aclweb.org/anthology/D19-1020.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, arch-rnn, arch-gru, arch-cnn, arch-att, arch-selfatt, search-beam, task-spanlab, task-lm, task-seq2seq |
1 |
Read, Attend and Comment: A Deep Architecture for Automatic News Comment Generation |
Ze Yang, Can Xu, Wei Wu, Zhoujun Li |
https://www.aclweb.org/anthology/D19-1512.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, arch-rnn, arch-gru, arch-cnn, arch-att, arch-memo, arch-copy, task-spanlab, task-seq2seq |
0 |
DyKgChat: Benchmarking Dialogue Generation Grounding on Dynamic Knowledge Graphs |
Yi-Lin Tuan, Yun-Nung Chen, Hung-yi Lee |
https://www.aclweb.org/anthology/D19-1194.pdf |
2019 |
EMNLP |
# reg-dropout, arch-rnn, arch-gru, arch-att, arch-selfatt, arch-coverage, search-beam, task-extractive, task-condlm, task-seq2seq |
0 |
Set to Ordered Text: Generating Discharge Instructions from Medical Billing Codes |
Litton J Kurisinkel, Nancy Chen |
https://www.aclweb.org/anthology/D19-1638.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, train-mtl, arch-rnn, arch-gru, arch-att, arch-coverage, arch-subword, task-condlm, task-seq2seq |
0 |
Keeping Consistency of Sentence Generation and Document Classification with Multi-Task Learning |
Toru Nishino, Shotaro Misawa, Ryuji Kano, Tomoki Taniguchi, Yasuhide Miura, Tomoko Ohkuma |
https://www.aclweb.org/anthology/D19-1315.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 |
# optim-adam, reg-dropout, train-transfer, train-augment, arch-rnn, arch-gru, arch-att, arch-selfatt, arch-transformer, pre-bert, pre-use, task-textpair, task-lm, task-seq2seq, task-relation |
0 |
Keep Calm and Switch On! Preserving Sentiment and Fluency in Semantic Text Exchange |
Steven Y. Feng, Aaron W. Li, Jesse Hoey |
https://www.aclweb.org/anthology/D19-1272.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-gru, arch-att, arch-transformer, task-lm, task-seq2seq |
0 |
Controlling Sequence-to-Sequence Models - A Demonstration on Neural-based Acrostic Generator |
Liang-Hsin Shen, Pei-Lun Tai, Chao-Chung Wu, Shou-De Lin |
https://www.aclweb.org/anthology/D19-3008.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, 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, optim-projection, arch-rnn, arch-lstm, arch-gru, arch-att, adv-train, latent-vae, task-lm, task-seq2seq |
0 |
Multiple Text Style Transfer by using Word-level Conditional Generative Adversarial Network with Two-Phase Training |
Chih-Te Lai, Yi-Te Hong, Hong-You Chen, Chi-Jen Lu, Shou-De Lin |
https://www.aclweb.org/anthology/D19-1366.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 |
# train-transfer, pool-max, arch-rnn, arch-lstm, arch-gru, arch-gnn, arch-att, task-textclass, task-relation |
0 |
Hierarchical Attention Prototypical Networks for Few-Shot Text Classification |
Shengli Sun, Qingfeng Sun, Kevin Zhou, Tengchao Lv |
https://www.aclweb.org/anthology/D19-1045.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, norm-batch, pool-max, arch-rnn, arch-lstm, arch-gru, arch-att, task-condlm |
1 |
Is the Red Square Big? MALeViC: Modeling Adjectives Leveraging Visual Contexts |
Sandro Pezzelle, Raquel Fernández |
https://www.aclweb.org/anthology/D19-1285.pdf |
2019 |
EMNLP |
# init-glorot, train-transfer, pool-mean, arch-gru, arch-att, pre-bert, task-seq2seq |
0 |
WSLLN:Weakly Supervised Natural Language Localization Networks |
Mingfei Gao, Larry Davis, Richard Socher, Caiming Xiong |
https://www.aclweb.org/anthology/D19-1157.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, train-mtl, arch-rnn, arch-gru, comb-ensemble |
0 |
A Practical Dialogue-Act-Driven Conversation Model for Multi-Turn Response Selection |
Harshit Kumar, Arvind Agarwal, Sachindra Joshi |
https://www.aclweb.org/anthology/D19-1205.pdf |
2019 |
EMNLP |
# optim-adam, reg-stopping, arch-rnn, arch-lstm, arch-gru, nondif-reinforce, task-seq2seq |
3 |
EGG: a toolkit for research on Emergence of lanGuage in Games |
Eugene Kharitonov, Rahma Chaabouni, Diane Bouchacourt, Marco Baroni |
https://www.aclweb.org/anthology/D19-3010.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, arch-rnn, arch-gru, arch-att, pre-word2vec, task-lm, task-condlm, task-seq2seq |
0 |
Unsupervised Discovery of Multimodal Links in Multi-image, Multi-sentence Documents |
Jack Hessel, Lillian Lee, David Mimno |
https://www.aclweb.org/anthology/D19-1210.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 |
# arch-rnn, arch-gru, arch-bigru, arch-gnn, arch-att, task-seq2seq |
0 |
CaRe: Open Knowledge Graph Embeddings |
Swapnil Gupta, Sreyash Kenkre, Partha Talukdar |
https://www.aclweb.org/anthology/D19-1036.pdf |
2019 |
EMNLP |
# optim-adam, train-mtl, arch-rnn, arch-gru, arch-att, latent-topic, task-extractive, task-seq2seq |
0 |
Subtopic-driven Multi-Document Summarization |
Xin Zheng, Aixin Sun, Jing Li, Karthik Muthuswamy |
https://www.aclweb.org/anthology/D19-1311.pdf |
2019 |
EMNLP |
# reg-patience, arch-rnn, arch-gru, arch-att, latent-vae, task-textpair, task-seq2seq |
0 |
Style Transfer for Texts: Retrain, Report Errors, Compare with Rewrites |
Alexey Tikhonov, Viacheslav Shibaev, Aleksander Nagaev, Aigul Nugmanova, Ivan P. Yamshchikov |
https://www.aclweb.org/anthology/D19-1406.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-norm, train-mtl, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-subword, pre-fasttext, task-textclass, task-seq2seq |
0 |
Multi-Task Stance Detection with Sentiment and Stance Lexicons |
Yingjie Li, Cornelia Caragea |
https://www.aclweb.org/anthology/D19-1657.pdf |
2019 |
EMNLP |
# optim-sgd, train-transfer, arch-rnn, arch-gru, arch-att, pre-word2vec, latent-vae, task-seq2seq |
0 |
Modeling Personalization in Continuous Space for Response Generation via Augmented Wasserstein Autoencoders |
Zhangming Chan, Juntao Li, Xiaopeng Yang, Xiuying Chen, Wenpeng Hu, Dongyan Zhao, Rui Yan |
https://www.aclweb.org/anthology/D19-1201.pdf |
2019 |
EMNLP |
# train-mtl, arch-gru, arch-bigru, arch-att, arch-selfatt, arch-transformer, pre-bert |
1 |
SUM-QE: a BERT-based Summary Quality Estimation Model |
Stratos Xenouleas, Prodromos Malakasiotis, Marianna Apidianaki, Ion Androutsopoulos |
https://www.aclweb.org/anthology/D19-1618.pdf |
2019 |
EMNLP |
# reg-dropout, reg-stopping, norm-layer, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-bilinear, arch-subword, arch-transformer, search-beam, task-lm, task-seq2seq |
1 |
Joey NMT: A Minimalist NMT Toolkit for Novices |
Julia Kreutzer, Joost Bastings, Stefan Riezler |
https://www.aclweb.org/anthology/D19-3019.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-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 |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-att, arch-subword, comb-ensemble, search-beam, nondif-reinforce, task-lm, task-condlm, task-seq2seq |
2 |
Countering Language Drift via Visual Grounding |
Jason Lee, Kyunghyun Cho, Douwe Kiela |
https://www.aclweb.org/anthology/D19-1447.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 |
# train-mtl, arch-rnn, arch-lstm, arch-gru, arch-cnn, pre-bert, task-extractive |
1 |
Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses |
Matt Grenander, Yue Dong, Jackie Chi Kit Cheung, Annie Louis |
https://www.aclweb.org/anthology/D19-1620.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, train-transfer, arch-rnn, arch-gru, arch-att, task-lm, task-seq2seq |
0 |
How to Build User Simulators to Train RL-based Dialog Systems |
Weiyan Shi, Kun Qian, Xuewei Wang, Zhou Yu |
https://www.aclweb.org/anthology/D19-1206.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, arch-rnn, arch-gru, search-beam, latent-vae, latent-topic, task-lm, task-seq2seq |
0 |
Dirichlet Latent Variable Hierarchical Recurrent Encoder-Decoder in Dialogue Generation |
Min Zeng, Yisen Wang, Yuan Luo |
https://www.aclweb.org/anthology/D19-1124.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-transformer, struct-cfg, task-textclass, task-textpair, task-lm, task-seq2seq, task-tree |
0 |
PaLM: A Hybrid Parser and Language Model |
Hao Peng, Roy Schwartz, Noah A. Smith |
https://www.aclweb.org/anthology/D19-1376.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-adam, optim-projection, reg-dropout, arch-gru, arch-cnn, arch-att, arch-selfatt |
0 |
Neural News Recommendation with Multi-Head Self-Attention |
Chuhan Wu, Fangzhao Wu, Suyu Ge, Tao Qi, Yongfeng Huang, Xing Xie |
https://www.aclweb.org/anthology/D19-1671.pdf |
2019 |
EMNLP |
# reg-norm, arch-rnn, arch-gru, latent-vae, task-seq2seq |
1 |
A Benchmark Dataset for Learning to Intervene in Online Hate Speech |
Jing Qian, Anna Bethke, Yinyin Liu, Elizabeth Belding, William Yang Wang |
https://www.aclweb.org/anthology/D19-1482.pdf |
2019 |
EMNLP |
# optim-projection, reg-dropout, reg-labelsmooth, arch-rnn, arch-gru, pre-elmo, task-seq2seq |
0 |
Deep Ordinal Regression for Pledge Specificity Prediction |
Shivashankar Subramanian, Trevor Cohn, Timothy Baldwin |
https://www.aclweb.org/anthology/D19-1182.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, optim-projection, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-gnn, arch-cnn, arch-att, pre-word2vec, pre-fasttext, task-textclass, task-seq2seq |
0 |
ProSeqo: Projection Sequence Networks for On-Device Text Classification |
Zornitsa Kozareva, Sujith Ravi |
https://www.aclweb.org/anthology/D19-1402.pdf |
2019 |
EMNLP |
# optim-projection, arch-lstm, arch-gru, arch-bigru, arch-att, arch-selfatt, task-textclass, task-extractive, task-lm, task-condlm, task-seq2seq |
0 |
From the Token to the Review: A Hierarchical Multimodal approach to Opinion Mining |
Alexandre Garcia, Pierre Colombo, Florence d’Alché-Buc, Slim Essid, Chloé Clavel |
https://www.aclweb.org/anthology/D19-1556.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, reg-dropout, train-mtl, pool-max, pool-mean, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-att, arch-coverage, pre-word2vec, latent-topic, task-spanlab, task-seq2seq |
0 |
A Neural Citation Count Prediction Model based on Peer Review Text |
Siqing Li, Wayne Xin Zhao, Eddy Jing Yin, Ji-Rong Wen |
https://www.aclweb.org/anthology/D19-1497.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 |
# optim-adam, train-mll, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-memo, pre-skipthought, pre-elmo, pre-bert, task-textclass, task-textpair, task-lm, task-seq2seq |
0 |
Evaluation Benchmarks and Learning Criteria for Discourse-Aware Sentence Representations |
Mingda Chen, Zewei Chu, Kevin Gimpel |
https://www.aclweb.org/anthology/D19-1060.pdf |
2019 |
EMNLP |
# arch-gru, arch-att, arch-subword, arch-transformer, search-beam, task-seq2seq |
2 |
Simpler and Faster Learning of Adaptive Policies for Simultaneous Translation |
Baigong Zheng, Renjie Zheng, Mingbo Ma, Liang Huang |
https://www.aclweb.org/anthology/D19-1137.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 |
NAA-CL |
# optim-adam, optim-projection, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-gru, arch-att, arch-coverage, search-beam, struct-crf, task-textclass, task-lm, task-seq2seq |
5 |
Improving Lemmatization of Non-Standard Languages with Joint Learning |
Enrique Manjavacas, Ákos Kádár, Mike Kestemont |
https://www.aclweb.org/anthology/N19-1153.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, reg-patience, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-memo, pre-word2vec, struct-crf, task-textclass, task-seq2seq |
3 |
HiGRU: Hierarchical Gated Recurrent Units for Utterance-Level Emotion Recognition |
Wenxiang Jiao, Haiqin Yang, Irwin King, Michael R. Lyu |
https://www.aclweb.org/anthology/N19-1037.pdf |
2019 |
NAA-CL |
# arch-gru, task-condlm |
2 |
VQD: Visual Query Detection In Natural Scenes |
Manoj Acharya, Karan Jariwala, Christopher Kanan |
https://www.aclweb.org/anthology/N19-1194.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-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, reg-dropout, train-mll, arch-rnn, arch-gru, arch-bigru, arch-att, arch-selfatt, latent-topic, task-textpair |
2 |
Train One Get One Free: Partially Supervised Neural Network for Bug Report Duplicate Detection and Clustering |
Lahari Poddar, Leonardo Neves, William Brendel, Luis Marujo, Sergey Tulyakov, Pradeep Karuturi |
https://www.aclweb.org/anthology/N19-2020.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-gru, arch-att, latent-vae, task-seq2seq, task-lexicon |
3 |
Let’s Make Your Request More Persuasive: Modeling Persuasive Strategies via Semi-Supervised Neural Nets on Crowdfunding Platforms |
Diyi Yang, Jiaao Chen, Zichao Yang, Dan Jurafsky, Eduard Hovy |
https://www.aclweb.org/anthology/N19-1364.pdf |
2019 |
NAA-CL |
# optim-adam, optim-projection, reg-dropout, norm-gradient, arch-rnn, arch-birnn, arch-lstm, arch-gru, arch-treelstm, arch-att, arch-memo, arch-bilinear, arch-subword, arch-transformer, comb-ensemble, search-beam, task-seq2seq, task-relation |
3 |
Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations |
Meishan Zhang, Zhenghua Li, Guohong Fu, Min Zhang |
https://www.aclweb.org/anthology/N19-1118.pdf |
2019 |
NAA-CL |
# optim-sgd, optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-att, nondif-reinforce, latent-vae, task-seq2seq, task-tree |
17 |
Rethinking Action Spaces for Reinforcement Learning in End-to-end Dialog Agents with Latent Variable Models |
Tiancheng Zhao, Kaige Xie, Maxine Eskenazi |
https://www.aclweb.org/anthology/N19-1123.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 |
# train-mtl, train-mll, train-transfer, arch-rnn, arch-gru, arch-att, arch-selfatt, adv-train, task-relation, task-tree |
1 |
Robust Semantic Parsing with Adversarial Learning for Domain Generalization |
Gabriel Marzinotto, Géraldine Damnati, Frédéric Béchet, Benoît Favre |
https://www.aclweb.org/anthology/N19-2021.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-sgd, optim-adam, init-glorot, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-gating, arch-energy, search-viterbi, pre-word2vec, pre-skipthought, struct-hmm, struct-crf, adv-train, task-textclass, task-seq2seq |
0 |
Adaptation of Hierarchical Structured Models for Speech Act Recognition in Asynchronous Conversation |
Tasnim Mohiuddin, Thanh-Tung Nguyen, Shafiq Joty |
https://www.aclweb.org/anthology/N19-1134.pdf |
2019 |
NAA-CL |
# optim-adam, arch-rnn, arch-lstm, arch-gru, arch-att, arch-coverage, latent-vae, loss-nce, task-seq2seq |
0 |
Learning to Decipher Hate Symbols |
Jing Qian, Mai ElSherief, Elizabeth Belding, William Yang Wang |
https://www.aclweb.org/anthology/N19-1305.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 |
# optim-adam, reg-dropout, reg-norm, arch-rnn, arch-gru, arch-att, search-beam, loss-nce, task-textclass, task-seq2seq |
3 |
Adapting RNN Sequence Prediction Model to Multi-label Set Prediction |
Kechen Qin, Cheng Li, Virgil Pavlu, Javed Aslam |
https://www.aclweb.org/anthology/N19-1321.pdf |
2019 |
NAA-CL |
# optim-adam, init-glorot, norm-layer, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-transformer, task-extractive, task-seq2seq, task-relation |
4 |
Single Document Summarization as Tree Induction |
Yang Liu, Ivan Titov, Mirella Lapata |
https://www.aclweb.org/anthology/N19-1173.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, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-att, arch-memo, arch-copy, search-beam, latent-topic, task-seq2seq |
2 |
Microblog Hashtag Generation via Encoding Conversation Contexts |
Yue Wang, Jing Li, Irwin King, Michael R. Lyu, Shuming Shi |
https://www.aclweb.org/anthology/N19-1164.pdf |
2019 |
NAA-CL |
# optim-adam, train-mtl, arch-lstm, arch-gru, search-beam, task-lm, task-seq2seq |
8 |
Jointly Optimizing Diversity and Relevance in Neural Response Generation |
Xiang Gao, Sungjin Lee, Yizhe Zhang, Chris Brockett, Michel Galley, Jianfeng Gao, Bill Dolan |
https://www.aclweb.org/anthology/N19-1125.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 |
# reg-stopping, reg-patience, train-augment, arch-gru, arch-att, arch-coverage, task-seq2seq |
1 |
Training Data Augmentation for Context-Sensitive Neural Lemmatizer Using Inflection Tables and Raw Text |
Toms Bergmanis, Sharon Goldwater |
https://www.aclweb.org/anthology/N19-1418.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 |
# arch-rnn, arch-gru, arch-cnn, arch-att, nondif-reinforce |
0 |
Posterior-regularized REINFORCE for Instance Selection in Distant Supervision |
Qi Zhang, Siliang Tang, Xiang Ren, Fei Wu, Shiliang Pu, Yueting Zhuang |
https://www.aclweb.org/anthology/N19-1290.pdf |
2019 |
NAA-CL |
# optim-adam, reg-stopping, reg-patience, arch-rnn, arch-gru, arch-att, task-textclass, task-seq2seq, task-tree |
4 |
Inferring Which Medical Treatments Work from Reports of Clinical Trials |
Eric Lehman, Jay DeYoung, Regina Barzilay, Byron C. Wallace |
https://www.aclweb.org/anthology/N19-1371.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, arch-gru, arch-bigru, arch-att, arch-memo, arch-copy, task-lm, task-seq2seq |
0 |
Disentangling Language and Knowledge in Task-Oriented Dialogs |
Dinesh Raghu, Nikhil Gupta, Mausam |
https://www.aclweb.org/anthology/N19-1126.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, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-memo, pre-elmo, task-spanlab, task-seq2seq |
7 |
BAG: Bi-directional Attention Entity Graph Convolutional Network for Multi-hop Reasoning Question Answering |
Yu Cao, Meng Fang, Dacheng Tao |
https://www.aclweb.org/anthology/N19-1032.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, reg-labelsmooth, arch-rnn, arch-gru, arch-att, arch-selfatt, arch-residual, arch-coverage, arch-subword, arch-transformer, task-seq2seq |
9 |
Selective Attention for Context-aware Neural Machine Translation |
Sameen Maruf, André F. T. Martins, Gholamreza Haffari |
https://www.aclweb.org/anthology/N19-1313.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, arch-rnn, arch-gru, arch-att, task-lm, task-condlm, task-seq2seq |
10 |
Probing the Need for Visual Context in Multimodal Machine Translation |
Ozan Caglayan, Pranava Madhyastha, Lucia Specia, Loïc Barrault |
https://www.aclweb.org/anthology/N19-1422.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-stopping, reg-patience, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-coverage, adv-examp, task-textclass, task-textpair, task-spanlab, task-seq2seq |
10 |
Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets |
Nelson F. Liu, Roy Schwartz, Noah A. Smith |
https://www.aclweb.org/anthology/N19-1225.pdf |
2019 |
NAA-CL |
# reg-dropout, norm-gradient, train-mtl, train-mll, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-residual, comb-ensemble, task-seq2seq, task-relation |
0 |
Multi-Task Learning for Japanese Predicate Argument Structure Analysis |
Hikaru Omori, Mamoru Komachi |
https://www.aclweb.org/anthology/N19-1344.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 |