Year |
Conf. |
Topic |
Cited |
Paper |
Authors |
Url |
2019 |
ACL |
# optim-sgd, optim-adadelta, reg-dropout, arch-rnn, arch-gru, arch-att, arch-coverage, arch-subword, arch-transformer, search-greedy, search-beam, nondif-minrisk, task-seq2seq |
8 |
Bridging the Gap between Training and Inference for Neural Machine Translation |
Wen Zhang, Yang Feng, Fandong Meng, Di You, Qun Liu |
https://www.aclweb.org/anthology/P19-1426.pdf |
2019 |
ACL |
# optim-adam, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-bilinear, pre-bert, nondif-minrisk, nondif-reinforce, loss-nce, task-spanlab, task-lm, task-relation |
7 |
Entity-Relation Extraction as Multi-Turn Question Answering |
Xiaoya Li, Fan Yin, Zijun Sun, Xiayu Li, Arianna Yuan, Duo Chai, Mingxin Zhou, Jiwei Li |
https://www.aclweb.org/anthology/P19-1129.pdf |
2019 |
ACL |
# optim-adam, optim-adadelta, init-glorot, reg-dropout, norm-gradient, train-transfer, pool-max, arch-rnn, arch-lstm, arch-gnn, arch-att, arch-energy, search-beam, pre-glove, struct-crf, nondif-minrisk, task-textclass, task-seq2seq |
3 |
Joint Type Inference on Entities and Relations via Graph Convolutional Networks |
Changzhi Sun, Yeyun Gong, Yuanbin Wu, Ming Gong, Daxin Jiang, Man Lan, Shiliang Sun, Nan Duan |
https://www.aclweb.org/anthology/P19-1131.pdf |
2019 |
ACL |
# optim-adam, train-mtl, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-copy, pre-glove, nondif-minrisk, latent-vae, task-seq2seq, task-relation |
7 |
Towards Explainable NLP: A Generative Explanation Framework for Text Classification |
Hui Liu, Qingyu Yin, William Yang Wang |
https://www.aclweb.org/anthology/P19-1560.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-copy, arch-coverage, nondif-minrisk, task-seq2seq |
2 |
Global Optimization under Length Constraint for Neural Text Summarization |
Takuya Makino, Tomoya Iwakura, Hiroya Takamura, Manabu Okumura |
https://www.aclweb.org/anthology/P19-1099.pdf |
2019 |
ACL |
# reg-labelsmooth, train-mll, arch-rnn, arch-att, arch-subword, nondif-minrisk, loss-margin, task-textpair, task-seq2seq |
4 |
Beyond BLEU:Training Neural Machine Translation with Semantic Similarity |
John Wieting, Taylor Berg-Kirkpatrick, Kevin Gimpel, Graham Neubig |
https://www.aclweb.org/anthology/P19-1427.pdf |
2019 |
ACL |
# arch-att, arch-copy, arch-coverage, search-beam, nondif-minrisk, task-textpair, task-seq2seq, task-tree |
1 |
Reranking for Neural Semantic Parsing |
Pengcheng Yin, Graham Neubig |
https://www.aclweb.org/anthology/P19-1447.pdf |
2019 |
EMNLP |
# optim-adam, arch-lstm, arch-gru, arch-cnn, arch-att, arch-memo, arch-copy, nondif-minrisk, nondif-reinforce, task-seq2seq |
0 |
Learning the Extraction Order of Multiple Relational Facts in a Sentence with Reinforcement Learning |
Xiangrong Zeng, Shizhu He, Daojian Zeng, Kang Liu, Shengping Liu, Jun Zhao |
https://www.aclweb.org/anthology/D19-1035.pdf |
2019 |
EMNLP |
# optim-adam, pool-max, arch-rnn, arch-lstm, arch-att, arch-copy, arch-coverage, nondif-minrisk, nondif-reinforce, task-extractive, task-lm, task-seq2seq |
0 |
Clickbait? Sensational Headline Generation with Auto-tuned Reinforcement Learning |
Peng Xu, Chien-Sheng Wu, Andrea Madotto, Pascale Fung |
https://www.aclweb.org/anthology/D19-1303.pdf |