Year |
Conf. |
Topic |
Cited |
Paper |
Authors |
Url |
2019 |
ACL |
# optim-adam, optim-projection, norm-gradient, train-mll, train-transfer, activ-relu, pool-max, arch-rnn, arch-lstm, arch-subword, comb-ensemble, pre-fasttext, pre-skipthought, latent-vae, task-textpair, task-lm, task-seq2seq, task-cloze |
0 |
Exploiting Invertible Decoders for Unsupervised Sentence Representation Learning |
Shuai Tang, Virginia R. de Sa |
https://www.aclweb.org/anthology/P19-1397.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, activ-relu, pool-max, pool-mean, arch-cnn, pre-glove, task-textclass, task-lm, task-seq2seq |
4 |
MOROCO: The Moldavian and Romanian Dialectal Corpus |
Andrei Butnaru, Radu Tudor Ionescu |
https://www.aclweb.org/anthology/P19-1068.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-decay, norm-batch, norm-gradient, train-mtl, activ-relu, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-coverage, arch-transformer, pre-fasttext, task-textclass, task-lm |
1 |
#YouToo? Detection of Personal Recollections of Sexual Harassment on Social Media |
Arijit Ghosh Chowdhury, Ramit Sawhney, Rajiv Ratn Shah, Debanjan Mahata |
https://www.aclweb.org/anthology/P19-1241.pdf |
2019 |
ACL |
# reg-dropout, norm-batch, norm-gradient, activ-relu, arch-rnn, arch-lstm, arch-gcnn, arch-att, arch-selfatt, arch-transformer, task-lm, task-seq2seq, meta-arch |
194 |
Transformer-XL: Attentive Language Models beyond a Fixed-Length Context |
Zihang Dai, Zhilin Yang, Yiming Yang, Jaime Carbonell, Quoc Le, Ruslan Salakhutdinov |
https://www.aclweb.org/anthology/P19-1285.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, activ-relu, pool-mean, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-bilinear, arch-transformer, pre-word2vec, pre-glove, pre-bert, task-spanlab |
0 |
Open-Domain Why-Question Answering with Adversarial Learning to Encode Answer Texts |
Jong-Hoon Oh, Kazuma Kadowaki, Julien Kloetzer, Ryu Iida, Kentaro Torisawa |
https://www.aclweb.org/anthology/P19-1414.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, 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, optim-projection, reg-labelsmooth, train-transfer, activ-relu, pool-max, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-coverage, pre-glove, pre-bert, latent-topic, task-textpair, task-lm, task-seq2seq |
2 |
Zero-shot Word Sense Disambiguation using Sense Definition Embeddings |
Sawan Kumar, Sharmistha Jat, Karan Saxena, Partha Talukdar |
https://www.aclweb.org/anthology/P19-1568.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, reg-dropout, activ-relu, arch-lstm, struct-crf, latent-vae, task-seqlab |
0 |
Combining Spans into Entities: A Neural Two-Stage Approach for Recognizing Discontiguous Entities |
Bailin Wang, Wei Lu |
https://www.aclweb.org/anthology/D19-1644.pdf |
2019 |
EMNLP |
# activ-relu, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-bilinear, comb-ensemble, pre-elmo, pre-bert, struct-crf, task-seqlab, task-relation, task-tree |
1 |
Dependency-Guided LSTM-CRF for Named Entity Recognition |
Zhanming Jie, Wei Lu |
https://www.aclweb.org/anthology/D19-1399.pdf |
2019 |
NAA-CL |
# reg-dropout, activ-relu, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-coverage, pre-glove, task-textclass, task-textpair, task-seq2seq |
3 |
How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection |
Wenhu Chen, Yu Su, Yilin Shen, Zhiyu Chen, Xifeng Yan, William Yang Wang |
https://www.aclweb.org/anthology/N19-1352.pdf |
2019 |
NAA-CL |
# optim-sgd, reg-dropout, activ-relu, arch-rnn, arch-lstm, arch-att, arch-memo, search-beam, struct-cfg, task-lm, task-seq2seq |
0 |
Top-Down Structurally-Constrained Neural Response Generation with Lexicalized Probabilistic Context-Free Grammar |
Wenchao Du, Alan W Black |
https://www.aclweb.org/anthology/N19-1377.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, activ-relu, arch-rnn, arch-lstm, arch-att, arch-coverage, search-beam, task-textclass, task-lm |
3 |
Understanding language-elicited EEG data by predicting it from a fine-tuned language model |
Dan Schwartz, Tom Mitchell |
https://www.aclweb.org/anthology/N19-1005.pdf |
2019 |
NAA-CL |
# optim-adam, optim-projection, train-mll, activ-relu, arch-lstm, arch-bilstm, arch-att, arch-bilinear, comb-ensemble, pre-word2vec, task-seq2seq, task-relation, task-alignment |
2 |
Low-Resource Syntactic Transfer with Unsupervised Source Reordering |
Mohammad Sadegh Rasooli, Michael Collins |
https://www.aclweb.org/anthology/N19-1385.pdf |