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 |
# reg-dropout, reg-worddropout, train-augment, arch-rnn, arch-cnn, arch-att, arch-subword, arch-transformer, adv-examp, task-textclass, task-lm, task-seq2seq |
6 |
Robust Neural Machine Translation with Doubly Adversarial Inputs |
Yong Cheng, Lu Jiang, Wolfgang Macherey |
https://www.aclweb.org/anthology/P19-1425.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, reg-worddropout, reg-stopping, reg-patience, train-mtl, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-coverage, pre-glove, pre-bert, task-relation, task-tree, task-graph, task-alignment |
4 |
Compositional Semantic Parsing across Graphbanks |
Matthias Lindemann, Jonas Groschwitz, Alexander Koller |
https://www.aclweb.org/anthology/P19-1450.pdf |
2019 |
ACL |
# reg-dropout, reg-worddropout, reg-labelsmooth, arch-att, arch-residual, arch-memo, arch-transformer, comb-ensemble, pre-bert, task-lm, task-seq2seq |
0 |
Cross-Sentence Grammatical Error Correction |
Shamil Chollampatt, Weiqi Wang, Hwee Tou Ng |
https://www.aclweb.org/anthology/P19-1042.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 |
# optim-sgd, reg-dropout, reg-worddropout, arch-rnn, arch-lstm, arch-att, arch-coverage, latent-vae, task-lm, task-seq2seq, task-tree |
0 |
Syntax-Infused Variational Autoencoder for Text Generation |
Xinyuan Zhang, Yi Yang, Siyang Yuan, Dinghan Shen, Lawrence Carin |
https://www.aclweb.org/anthology/P19-1199.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, reg-dropout, reg-worddropout, norm-gradient, arch-rnn, arch-lstm, latent-vae, task-lm |
0 |
Better Exploiting Latent Variables in Text Modeling |
Canasai Kruengkrai |
https://www.aclweb.org/anthology/P19-1553.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-worddropout, arch-rnn, arch-lstm, arch-cnn, arch-att, latent-vae, task-lm, task-seq2seq, task-tree |
0 |
Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models |
Dinghan Shen, Asli Celikyilmaz, Yizhe Zhang, Liqun Chen, Xin Wang, Jianfeng Gao, Lawrence Carin |
https://www.aclweb.org/anthology/P19-1200.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-worddropout, reg-stopping, arch-att, arch-selfatt, arch-subword, arch-transformer, comb-ensemble, pre-fasttext, pre-bert, latent-vae, task-seqlab, task-spanlab, task-lm, task-seq2seq, task-tree |
2 |
Unsupervised Question Answering by Cloze Translation |
Patrick Lewis, Ludovic Denoyer, Sebastian Riedel |
https://www.aclweb.org/anthology/P19-1484.pdf |
2019 |
ACL |
# optim-sgd, reg-dropout, reg-worddropout, arch-rnn, arch-att, arch-selfatt, arch-transformer, pre-fasttext, pre-bert, latent-vae, task-textclass, task-lm, task-seq2seq |
6 |
Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation |
Ning Dai, Jianze Liang, Xipeng Qiu, Xuanjing Huang |
https://www.aclweb.org/anthology/P19-1601.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-worddropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, struct-crf, task-relation |
2 |
The (Non-)Utility of Structural Features in BiLSTM-based Dependency Parsers |
Agnieszka Falenska, Jonas Kuhn |
https://www.aclweb.org/anthology/P19-1012.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-worddropout, reg-stopping, reg-patience, reg-labelsmooth, norm-layer, arch-rnn, arch-att, arch-subword, arch-transformer, search-beam, task-seqlab, task-lm, task-seq2seq, task-alignment |
5 |
Revisiting Low-Resource Neural Machine Translation: A Case Study |
Rico Sennrich, Biao Zhang |
https://www.aclweb.org/anthology/P19-1021.pdf |
2019 |
ACL |
# optim-sgd, reg-dropout, reg-worddropout, reg-norm, reg-decay, train-mtl, arch-rnn, arch-lstm, arch-transformer, task-lm, task-seq2seq |
2 |
Improved Language Modeling by Decoding the Past |
Siddhartha Brahma |
https://www.aclweb.org/anthology/P19-1142.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-worddropout, train-augment, arch-rnn, arch-lstm, arch-cnn, arch-att, nondif-reinforce, task-textclass, task-seq2seq, task-tree |
0 |
Automatically Learning Data Augmentation Policies for Dialogue Tasks |
Tong Niu, Mohit Bansal |
https://www.aclweb.org/anthology/D19-1132.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 |
# 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-adam, optim-projection, reg-dropout, reg-worddropout, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-bert, loss-cca, task-lm, task-seq2seq, task-cloze |
1 |
The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives |
Elena Voita, Rico Sennrich, Ivan Titov |
https://www.aclweb.org/anthology/D19-1448.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, reg-dropout, reg-worddropout, norm-gradient, arch-rnn, arch-lstm, latent-vae, task-textpair, task-lm |
0 |
Enhancing Variational Autoencoders with Mutual Information Neural Estimation for Text Generation |
Dong Qian, William K. Cheung |
https://www.aclweb.org/anthology/D19-1416.pdf |
2019 |
NAA-CL |
# optim-sgd, reg-dropout, reg-worddropout, reg-patience, pool-max, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-subword, pre-elmo, pre-bert, struct-crf, task-seqlab, task-lm |
27 |
Pooled Contextualized Embeddings for Named Entity Recognition |
Alan Akbik, Tanja Bergmann, Roland Vollgraf |
https://www.aclweb.org/anthology/N19-1078.pdf |
2019 |
NAA-CL |
# init-glorot, reg-dropout, reg-worddropout, arch-cnn, arch-att, arch-coverage, pre-glove, latent-topic, task-textpair, task-seq2seq, task-relation, task-tree |
1 |
No Permanent Friends or Enemies: Tracking Relationships between Nations from News |
Xiaochuang Han, Eunsol Choi, Chenhao Tan |
https://www.aclweb.org/anthology/N19-1167.pdf |
2019 |
NAA-CL |
# reg-dropout, reg-worddropout, norm-layer, pool-max, arch-cnn, arch-att, arch-selfatt, arch-bilinear, arch-transformer |
5 |
Relation Extraction using Explicit Context Conditioning |
Gaurav Singh, Parminder Bhatia |
https://www.aclweb.org/anthology/N19-1147.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, reg-worddropout, norm-layer, arch-rnn, arch-lstm, arch-att, pre-glove, nondif-reinforce, latent-vae, task-lm, task-condlm, task-seq2seq, task-tree |
4 |
SEQˆ3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression |
Christos Baziotis, Ion Androutsopoulos, Ioannis Konstas, Alexandros Potamianos |
https://www.aclweb.org/anthology/N19-1071.pdf |