Year |
Conf. |
Topic |
Cited |
Paper |
Authors |
Url |
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, optim-adagrad, reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-memo, arch-copy, arch-coverage, comb-ensemble, search-beam, task-lm, task-seq2seq |
3 |
Data-to-text Generation with Entity Modeling |
Ratish Puduppully, Li Dong, Mirella Lapata |
https://www.aclweb.org/anthology/P19-1195.pdf |
2019 |
ACL |
# optim-adagrad, reg-dropout, norm-batch, arch-lstm, arch-att, arch-selfatt, arch-subword, arch-transformer, task-lm, task-seq2seq |
0 |
Training Hybrid Language Models by Marginalizing over Segmentations |
Edouard Grave, Sainbayar Sukhbaatar, Piotr Bojanowski, Armand Joulin |
https://www.aclweb.org/anthology/P19-1143.pdf |
2019 |
ACL |
# optim-adam, optim-adagrad, train-mll, arch-coverage, arch-subword, pre-fasttext, pre-elmo, task-lm, task-seq2seq |
2 |
Multilingual and Cross-Lingual Graded Lexical Entailment |
Ivan Vulić, Simone Paolo Ponzetto, Goran Glavaš |
https://www.aclweb.org/anthology/P19-1490.pdf |
2019 |
ACL |
# optim-adagrad, reg-dropout, train-mll, pool-mean, arch-gnn, arch-att, arch-selfatt, arch-subword, loss-triplet |
7 |
Multi-Channel Graph Neural Network for Entity Alignment |
Yixin Cao, Zhiyuan Liu, Chengjiang Li, Zhiyuan Liu, Juanzi Li, Tat-Seng Chua |
https://www.aclweb.org/anthology/P19-1140.pdf |
2019 |
ACL |
# optim-adam, optim-adagrad, reg-dropout, train-augment, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-copy, search-beam, pre-glove, pre-bert, adv-examp, latent-vae, task-spanlab, task-seq2seq |
3 |
Learning to Ask Unanswerable Questions for Machine Reading Comprehension |
Haichao Zhu, Li Dong, Furu Wei, Wenhui Wang, Bing Qin, Ting Liu |
https://www.aclweb.org/anthology/P19-1415.pdf |
2019 |
ACL |
# optim-adagrad, train-augment, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-copy, arch-coverage, search-beam, task-seq2seq |
0 |
On the Summarization of Consumer Health Questions |
Asma Ben Abacha, Dina Demner-Fushman |
https://www.aclweb.org/anthology/P19-1215.pdf |
2019 |
ACL |
# optim-adagrad, reg-dropout, arch-rnn, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, search-beam, task-lm, task-condlm, task-seq2seq |
1 |
Informative Image Captioning with External Sources of Information |
Sanqiang Zhao, Piyush Sharma, Tomer Levinboim, Radu Soricut |
https://www.aclweb.org/anthology/P19-1650.pdf |
2019 |
ACL |
# optim-adagrad, train-mtl, train-transfer, pool-max, arch-rnn, arch-cnn, arch-att, arch-residual, arch-subword, pre-word2vec, pre-elmo |
0 |
Employing the Correspondence of Relations and Connectives to Identify Implicit Discourse Relations via Label Embeddings |
Linh The Nguyen, Linh Van Ngo, Khoat Than, Thien Huu Nguyen |
https://www.aclweb.org/anthology/P19-1411.pdf |
2019 |
ACL |
# optim-sgd, optim-adagrad, train-mtl, arch-recnn, arch-cnn, arch-att, pre-glove |
1 |
Model-Agnostic Meta-Learning for Relation Classification with Limited Supervision |
Abiola Obamuyide, Andreas Vlachos |
https://www.aclweb.org/anthology/P19-1589.pdf |
2019 |
ACL |
# optim-adagrad, reg-decay, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-selfatt, pre-glove, adv-train, task-textpair, task-seqlab |
5 |
OpenDialKG: Explainable Conversational Reasoning with Attention-based Walks over Knowledge Graphs |
Seungwhan Moon, Pararth Shah, Anuj Kumar, Rajen Subba |
https://www.aclweb.org/anthology/P19-1081.pdf |
2019 |
ACL |
# optim-adagrad, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-coverage, latent-topic, task-seq2seq |
2 |
BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent Summarization |
Eva Sharma, Chen Li, Lu Wang |
https://www.aclweb.org/anthology/P19-1212.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-adagrad, reg-dropout, reg-norm, norm-gradient, train-mtl, arch-lstm, arch-bilstm, arch-treelstm, arch-gnn, arch-cnn, arch-att, arch-selfatt, pre-glove, task-seq2seq, task-graph |
0 |
Tree Communication Models for Sentiment Analysis |
Yuan Zhang, Yue Zhang |
https://www.aclweb.org/anthology/P19-1342.pdf |
2019 |
ACL |
# optim-adam, optim-adagrad, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-memo, arch-subword, arch-transformer, search-beam, task-seq2seq, task-tree |
1 |
Improving Multi-turn Dialogue Modelling with Utterance ReWriter |
Hui Su, Xiaoyu Shen, Rongzhi Zhang, Fei Sun, Pengwei Hu, Cheng Niu, Jie Zhou |
https://www.aclweb.org/anthology/P19-1003.pdf |
2019 |
ACL |
# optim-adagrad, init-glorot, norm-gradient, pool-max, arch-lstm, arch-att, arch-selfatt, arch-bilinear, pre-glove, task-textclass, task-seq2seq |
1 |
Evaluating Discourse in Structured Text Representations |
Elisa Ferracane, Greg Durrett, Junyi Jessy Li, Katrin Erk |
https://www.aclweb.org/anthology/P19-1062.pdf |
2019 |
ACL |
# optim-adam, optim-adagrad, reg-dropout, reg-labelsmooth, norm-layer, pool-max, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, pre-paravec, task-seq2seq |
9 |
Hierarchical Transformers for Multi-Document Summarization |
Yang Liu, Mirella Lapata |
https://www.aclweb.org/anthology/P19-1500.pdf |
2019 |
ACL |
# optim-adagrad, reg-dropout, arch-att, arch-selfatt, arch-transformer, task-lm, task-seq2seq |
11 |
Adaptive Attention Span in Transformers |
Sainbayar Sukhbaatar, Edouard Grave, Piotr Bojanowski, Armand Joulin |
https://www.aclweb.org/anthology/P19-1032.pdf |
2019 |
EMNLP |
# optim-adagrad, reg-norm, arch-rnn, arch-lstm, arch-bilstm, arch-gnn, arch-att, arch-bilinear, pre-glove, task-textclass, task-relation, task-tree |
0 |
Event Representation Learning Enhanced with External Commonsense Knowledge |
Xiao Ding, Kuo Liao, Ting Liu, Zhongyang Li, Junwen Duan |
https://www.aclweb.org/anthology/D19-1495.pdf |
2019 |
EMNLP |
# optim-adagrad, arch-rnn, arch-lstm, pre-word2vec, pre-glove, task-textpair, task-seq2seq, task-relation |
0 |
Bridging the Defined and the Defining: Exploiting Implicit Lexical Semantic Relations in Definition Modeling |
Koki Washio, Satoshi Sekine, Tsuneaki Kato |
https://www.aclweb.org/anthology/D19-1357.pdf |
2019 |
EMNLP |
# optim-adagrad, optim-projection, reg-dropout, reg-stopping, train-mtl, train-transfer, arch-lstm, arch-att, arch-memo, task-seq2seq |
4 |
CAN: Constrained Attention Networks for Multi-Aspect Sentiment Analysis |
Mengting Hu, Shiwan Zhao, Li Zhang, Keke Cai, Zhong Su, Renhong Cheng, Xiaowei Shen |
https://www.aclweb.org/anthology/D19-1467.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-adagrad, arch-lstm, arch-bilstm, arch-att, arch-coverage, task-extractive, task-condlm, task-seq2seq |
0 |
Attention Optimization for Abstractive Document Summarization |
Min Gui, Junfeng Tian, Rui Wang, Zhenglu Yang |
https://www.aclweb.org/anthology/D19-1117.pdf |
2019 |
EMNLP |
# optim-adam, optim-adagrad, norm-layer, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-transformer, search-beam, pre-glove, pre-paravec, adv-train, latent-topic, task-textpair, task-extractive, task-spanlab, task-lm, task-condlm, task-seq2seq |
0 |
Topic-Guided Coherence Modeling for Sentence Ordering by Preserving Global and Local Information |
Byungkook Oh, Seungmin Seo, Cheolheon Shin, Eunju Jo, Kyong-Ho Lee |
https://www.aclweb.org/anthology/D19-1232.pdf |
2019 |
EMNLP |
# optim-adagrad, arch-rnn, arch-lstm, arch-att, pre-glove, struct-crf, loss-nce, task-lm, task-seq2seq |
0 |
Linguistic Versus Latent Relations for Modeling Coherent Flow in Paragraphs |
Dongyeop Kang, Eduard Hovy |
https://www.aclweb.org/anthology/D19-1589.pdf |
2019 |
EMNLP |
# optim-adagrad, arch-rnn, arch-lstm, arch-att, arch-copy, pre-bert, nondif-reinforce, task-extractive, task-spanlab, task-lm, task-condlm, task-seq2seq |
1 |
Answers Unite! Unsupervised Metrics for Reinforced Summarization Models |
Thomas Scialom, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano |
https://www.aclweb.org/anthology/D19-1320.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-sgd, optim-adam, optim-adagrad, optim-projection, reg-dropout, train-mll, arch-rnn, arch-cnn, arch-bilinear, arch-subword, pre-fasttext, pre-glove, task-textclass, task-lm, task-lexicon |
0 |
Cross-lingual Semantic Specialization via Lexical Relation Induction |
Edoardo Maria Ponti, Ivan Vulić, Goran Glavaš, Roi Reichart, Anna Korhonen |
https://www.aclweb.org/anthology/D19-1226.pdf |
2019 |
EMNLP |
# optim-adagrad, norm-gradient, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-copy, arch-coverage, search-beam, task-lm, task-seq2seq, task-graph |
0 |
Concept Pointer Network for Abstractive Summarization |
Wenbo Wang, Yang Gao, Heyan Huang, Yuxiang Zhou |
https://www.aclweb.org/anthology/D19-1304.pdf |
2019 |
EMNLP |
# optim-adagrad, init-glorot, train-augment, arch-lstm, arch-att, arch-selfatt, task-textclass, task-textpair, task-seq2seq |
1 |
Induction Networks for Few-Shot Text Classification |
Ruiying Geng, Binhua Li, Yongbin Li, Xiaodan Zhu, Ping Jian, Jian Sun |
https://www.aclweb.org/anthology/D19-1403.pdf |
2019 |
NAA-CL |
# optim-sgd, optim-adam, optim-adagrad, optim-projection, reg-norm, arch-lstm, arch-bilstm, arch-memo, pre-glove, latent-topic, task-lexicon |
1 |
Sentence Embedding Alignment for Lifelong Relation Extraction |
Hong Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang |
https://www.aclweb.org/anthology/N19-1086.pdf |
2019 |
NAA-CL |
# optim-adam, optim-adagrad, optim-adadelta, optim-projection, reg-dropout, reg-norm, train-mll, train-active, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-gating, arch-bilinear, arch-subword, comb-ensemble, pre-fasttext, pre-elmo, pre-bert, struct-crf, task-seqlab, task-lm, task-seq2seq, task-relation, task-lexicon |
7 |
Polyglot Contextual Representations Improve Crosslingual Transfer |
Phoebe Mulcaire, Jungo Kasai, Noah A. Smith |
https://www.aclweb.org/anthology/N19-1392.pdf |
2019 |
NAA-CL |
# optim-adagrad, reg-dropout, reg-stopping, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-subword, arch-transformer, search-beam, task-condlm, task-seq2seq |
2 |
Learning to Stop in Structured Prediction for Neural Machine Translation |
Mingbo Ma, Renjie Zheng, Liang Huang |
https://www.aclweb.org/anthology/N19-1187.pdf |
2019 |
NAA-CL |
# optim-adam, optim-adagrad, arch-lstm, arch-att, arch-coverage, search-beam, task-extractive, task-seq2seq, task-tree |
4 |
Question Answering as an Automatic Evaluation Metric for News Article Summarization |
Matan Eyal, Tal Baumel, Michael Elhadad |
https://www.aclweb.org/anthology/N19-1395.pdf |
2019 |
NAA-CL |
# optim-adagrad, reg-stopping, train-mtl, arch-rnn, arch-lstm, arch-bilstm, arch-att, struct-crf, task-seq2seq |
3 |
Scaling Multi-Domain Dialogue State Tracking via Query Reformulation |
Pushpendre Rastogi, Arpit Gupta, Tongfei Chen, Mathias Lambert |
https://www.aclweb.org/anthology/N19-2013.pdf |