Year |
Conf. |
Topic |
Cited |
Paper |
Authors |
Url |
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, train-mtl, arch-lstm, arch-att, arch-selfatt, arch-transformer, pre-paravec, pre-bert, adv-examp, task-spanlab |
2 |
Retrieve, Read, Rerank: Towards End-to-End Multi-Document Reading Comprehension |
Minghao Hu, Yuxing Peng, Zhen Huang, Dongsheng Li |
https://www.aclweb.org/anthology/P19-1221.pdf |
2019 |
ACL |
# optim-adam, reg-decay, arch-lstm, arch-att, arch-coverage, comb-ensemble, pre-paravec, latent-topic, task-relation |
0 |
Modeling Financial Analysts’ Decision Making via the Pragmatics and Semantics of Earnings Calls |
Katherine Keith, Amanda Stent |
https://www.aclweb.org/anthology/P19-1047.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mtl, arch-lstm, arch-bilstm, arch-cnn, arch-att, pre-glove, pre-paravec, pre-bert, task-relation |
1 |
Multi-Task Learning for Coherence Modeling |
Youmna Farag, Helen Yannakoudakis |
https://www.aclweb.org/anthology/P19-1060.pdf |
2019 |
ACL |
# optim-adam, optim-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-adam, optim-projection, init-glorot, reg-dropout, train-mll, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-subword, pre-fasttext, pre-paravec, pre-bert, struct-crf, adv-train, task-textclass, task-seqlab, task-seq2seq, task-tree, task-lexicon, task-alignment |
3 |
Multi-Source Cross-Lingual Model Transfer: Learning What to Share |
Xilun Chen, Ahmed Hassan Awadallah, Hany Hassan, Wei Wang, Claire Cardie |
https://www.aclweb.org/anthology/P19-1299.pdf |
2019 |
EMNLP |
# 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 |
NAA-CL |
# arch-rnn, arch-lstm, arch-cnn, arch-att, arch-coverage, comb-ensemble, pre-word2vec, pre-paravec, pre-skipthought, loss-svd, task-seq2seq |
0 |
Automatic learner summary assessment for reading comprehension |
Menglin Xia, Ekaterina Kochmar, Ted Briscoe |
https://www.aclweb.org/anthology/N19-1261.pdf |
2019 |
NAA-CL |
# train-mll, arch-rnn, arch-lstm, arch-bilstm, comb-ensemble, pre-word2vec, pre-glove, pre-paravec, pre-skipthought, pre-elmo, task-seq2seq |
0 |
Learning Outside the Box: Discourse-level Features Improve Metaphor Identification |
Jesse Mu, Helen Yannakoudakis, Ekaterina Shutova |
https://www.aclweb.org/anthology/N19-1059.pdf |