Year |
Conf. |
Topic |
Cited |
Paper |
Authors |
Url |
2019 |
ACL |
# optim-adam, reg-dropout, train-mtl, activ-tanh, arch-rnn, arch-lstm, arch-treelstm, arch-att, arch-copy, arch-coverage, search-beam, task-lm, task-seq2seq |
0 |
Incorporating Linguistic Constraints into Keyphrase Generation |
Jing Zhao, Yuxiang Zhang |
https://www.aclweb.org/anthology/P19-1515.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, pool-max, arch-lstm, arch-bilstm, arch-treelstm, arch-att, arch-coverage, search-beam, search-viterbi, pre-elmo, struct-crf, task-seqlab, task-seq2seq, task-tree |
0 |
Span-Level Model for Relation Extraction |
Kalpit Dixit, Yaser Al-Onaizan |
https://www.aclweb.org/anthology/P19-1525.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, reg-stopping, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-treelstm, arch-att, arch-selfatt, arch-coverage, latent-vae, task-textpair, task-lm, task-condlm, task-relation, task-tree |
1 |
Learning Latent Trees with Stochastic Perturbations and Differentiable Dynamic Programming |
Caio Corro, Ivan Titov |
https://www.aclweb.org/anthology/P19-1551.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, train-mll, arch-lstm, arch-bilstm, arch-treelstm, arch-att, pre-word2vec, pre-elmo, pre-bert, task-textpair, task-seq2seq, task-alignment |
0 |
Putting Evaluation in Context: Contextual Embeddings Improve Machine Translation Evaluation |
Nitika Mathur, Timothy Baldwin, Trevor Cohn |
https://www.aclweb.org/anthology/P19-1269.pdf |
2019 |
ACL |
# reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-treelstm, arch-cnn, arch-att, arch-subword, struct-crf, task-textclass, task-textpair, task-seqlab, task-lm, task-seq2seq |
10 |
Is Word Segmentation Necessary for Deep Learning of Chinese Representations? |
Xiaoya Li, Yuxian Meng, Xiaofei Sun, Qinghong Han, Arianna Yuan, Jiwei Li |
https://www.aclweb.org/anthology/P19-1314.pdf |
2019 |
ACL |
# optim-adam, train-transfer, arch-lstm, arch-treelstm, arch-bilinear, arch-coverage, search-viterbi, pre-glove, pre-elmo, task-textpair, task-relation, task-tree |
0 |
Automatic Generation of High Quality CCGbanks for Parser Domain Adaptation |
Masashi Yoshikawa, Hiroshi Noji, Koji Mineshima, Daisuke Bekki |
https://www.aclweb.org/anthology/P19-1013.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, optim-projection, arch-lstm, arch-treelstm, arch-att, arch-selfatt, arch-subword, arch-transformer, task-seqlab, task-lm, task-seq2seq |
5 |
Lattice Transformer for Speech Translation |
Pei Zhang, Niyu Ge, Boxing Chen, Kai Fan |
https://www.aclweb.org/anthology/P19-1649.pdf |
2019 |
ACL |
# optim-adam, reg-stopping, arch-rnn, arch-lstm, arch-treelstm, arch-att, arch-coverage, comb-ensemble, task-textpair, task-lm, task-seq2seq, task-tree |
3 |
An Imitation Learning Approach to Unsupervised Parsing |
Bowen Li, Lili Mou, Frank Keller |
https://www.aclweb.org/anthology/P19-1338.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, init-glorot, reg-dropout, reg-labelsmooth, norm-layer, arch-rnn, arch-lstm, arch-treelstm, arch-gnn, arch-cnn, arch-att, arch-selfatt, arch-residual, arch-energy, arch-transformer, search-beam, task-seq2seq |
2 |
Self-Attentional Models for Lattice Inputs |
Matthias Sperber, Graham Neubig, Ngoc-Quan Pham, Alex Waibel |
https://www.aclweb.org/anthology/P19-1115.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, reg-dropout, arch-lstm, arch-treelstm, pre-elmo, struct-crf, latent-vae, task-lm, task-tree |
0 |
Latent Variable Sentiment Grammar |
Liwen Zhang, Kewei Tu, Yue Zhang |
https://www.aclweb.org/anthology/P19-1457.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 |
# optim-adam, optim-projection, init-glorot, pool-max, arch-rnn, arch-lstm, arch-treelstm, arch-cnn, arch-att, arch-selfatt, arch-memo, pre-glove, task-condlm, task-seq2seq |
6 |
Attention Guided Graph Convolutional Networks for Relation Extraction |
Zhijiang Guo, Yan Zhang, Wei Lu |
https://www.aclweb.org/anthology/P19-1024.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-treelstm, arch-cnn, arch-memo, arch-copy, pre-glove, task-relation |
4 |
GraphRel: Modeling Text as Relational Graphs for Joint Entity and Relation Extraction |
Tsu-Jui Fu, Peng-Hsuan Li, Wei-Yun Ma |
https://www.aclweb.org/anthology/P19-1136.pdf |
2019 |
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 |
# arch-lstm, arch-bilstm, arch-treelstm, arch-att, arch-coverage, task-relation, task-tree |
0 |
Leveraging Frequent Query Substructures to Generate Formal Queries for Complex Question Answering |
Jiwei Ding, Wei Hu, Qixin Xu, Yuzhong Qu |
https://www.aclweb.org/anthology/D19-1263.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-bilstm, arch-treelstm, arch-cnn, arch-att, arch-residual, arch-coverage, pre-glove, task-textpair, task-lm, task-relation, task-tree |
0 |
Incorporating Contextual and Syntactic Structures Improves Semantic Similarity Modeling |
Linqing Liu, Wei Yang, Jinfeng Rao, Raphael Tang, Jimmy Lin |
https://www.aclweb.org/anthology/D19-1114.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, optim-projection, init-glorot, reg-dropout, train-mll, train-transfer, pool-max, arch-lstm, arch-treelstm, arch-cnn, arch-att, arch-subword, pre-fasttext, adv-train, task-textclass, task-seqlab, task-seq2seq, task-relation, task-alignment |
0 |
Cross-lingual Structure Transfer for Relation and Event Extraction |
Ananya Subburathinam, Di Lu, Heng Ji, Jonathan May, Shih-Fu Chang, Avirup Sil, Clare Voss |
https://www.aclweb.org/anthology/D19-1030.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-treelstm, arch-cnn, search-beam, pre-word2vec, struct-crf, latent-vae, task-seqlab, task-lm, task-relation, task-tree |
0 |
Neural Generative Rhetorical Structure Parsing |
Amandla Mabona, Laura Rimell, Stephen Clark, Andreas Vlachos |
https://www.aclweb.org/anthology/D19-1233.pdf |
2019 |
EMNLP |
# optim-sgd, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-treelstm, arch-cnn, arch-att, pre-word2vec, adv-train |
0 |
Leveraging 2-hop Distant Supervision from Table Entity Pairs for Relation Extraction |
Xiang Deng, Huan Sun |
https://www.aclweb.org/anthology/D19-1039.pdf |
2019 |
NAA-CL |
# optim-sgd, optim-adam, optim-adadelta, reg-decay, arch-lstm, arch-recnn, arch-treelstm, arch-att, arch-coverage, search-beam, pre-glove, struct-cfg, nondif-reinforce, latent-vae, task-textpair, task-lm, task-condlm |
5 |
Cooperative Learning of Disjoint Syntax and Semantics |
Serhii Havrylov, Germán Kruszewski, Armand Joulin |
https://www.aclweb.org/anthology/N19-1115.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-treelstm, arch-cnn, arch-att, pre-glove |
0 |
Multi-Channel Convolutional Neural Network for Twitter Emotion and Sentiment Recognition |
Jumayel Islam, Robert E. Mercer, Lu Xiao |
https://www.aclweb.org/anthology/N19-1137.pdf |
2019 |
NAA-CL |
# optim-adam, train-mtl, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-treelstm, arch-gnn, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-elmo, pre-bert, struct-crf, task-textclass, task-textpair, task-seqlab, task-lm, task-seq2seq |
17 |
Star-Transformer |
Qipeng Guo, Xipeng Qiu, Pengfei Liu, Yunfan Shao, Xiangyang Xue, Zheng Zhang |
https://www.aclweb.org/anthology/N19-1133.pdf |
2019 |
NAA-CL |
# optim-adam, optim-projection, 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-adam, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-treelstm, arch-cnn, arch-att, arch-memo, task-textpair, task-relation, task-graph |
3 |
Biomedical Event Extraction based on Knowledge-driven Tree-LSTM |
Diya Li, Lifu Huang, Heng Ji, Jiawei Han |
https://www.aclweb.org/anthology/N19-1145.pdf |
2019 |
NAA-CL |
# arch-rnn, arch-lstm, arch-bilstm, arch-treelstm, arch-att, arch-coverage, arch-transformer, pre-word2vec, pre-elmo, pre-bert, pre-use, task-textpair, task-seq2seq, task-tree |
4 |
Evaluating Coherence in Dialogue Systems using Entailment |
Nouha Dziri, Ehsan Kamalloo, Kory Mathewson, Osmar Zaiane |
https://www.aclweb.org/anthology/N19-1381.pdf |
2019 |
NAA-CL |
# pool-max, arch-lstm, arch-bilstm, arch-treelstm, arch-cnn, pre-glove, task-textclass |
1 |
Vector of Locally-Aggregated Word Embeddings (VLAWE): A Novel Document-level Representation |
Radu Tudor Ionescu, Andrei Butnaru |
https://www.aclweb.org/anthology/N19-1033.pdf |