Jiwei Li
Jiwei Li
Shannon.AI, Zhejiang University, Stanford University
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
A diversity-promoting objective function for neural conversation models
J Li, M Galley, C Brockett, J Gao, B Dolan
arXiv preprint arXiv:1510.03055, 2015
13892015
Deep reinforcement learning for dialogue generation
J Li, W Monroe, A Ritter, M Galley, J Gao, D Jurafsky
arXiv preprint arXiv:1606.01541, 2016
10912016
A persona-based neural conversation model
J Li, M Galley, C Brockett, GP Spithourakis, J Gao, B Dolan
arXiv preprint arXiv:1603.06155, 2016
8932016
Adversarial learning for neural dialogue generation
J Li, W Monroe, T Shi, S Jean, A Ritter, D Jurafsky
arXiv preprint arXiv:1701.06547, 2017
8312017
A hierarchical neural autoencoder for paragraphs and documents
J Li, MT Luong, D Jurafsky
arXiv preprint arXiv:1506.01057, 2015
6102015
Visualizing and understanding neural models in nlp
J Li, X Chen, E Hovy, D Jurafsky
arXiv preprint arXiv:1506.01066, 2015
5352015
Understanding neural networks through representation erasure
J Li, W Monroe, D Jurafsky
arXiv preprint arXiv:1612.08220, 2016
3612016
Towards a general rule for identifying deceptive opinion spam
J Li, M Ott, C Cardie, E Hovy
Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014
3162014
Do multi-sense embeddings improve natural language understanding?
J Li, D Jurafsky
arXiv preprint arXiv:1506.01070, 2015
2532015
When are tree structures necessary for deep learning of representations?
J Li, MT Luong, D Jurafsky, E Hovy
arXiv preprint arXiv:1503.00185, 2015
2252015
A simple, fast diverse decoding algorithm for neural generation
J Li, W Monroe, D Jurafsky
arXiv preprint arXiv:1611.08562, 2016
1782016
Data noising as smoothing in neural network language models
Z Xie, SI Wang, J Li, D Lévy, A Nie, D Jurafsky, AY Ng
arXiv preprint arXiv:1703.02573, 2017
1762017
A Unified MRC Framework for Named Entity Recognition
X Li, J Feng, Y Meng, Q Han, F Wu, J Li
ACL 2020, 2019
1652019
Entity-Relation Extraction as Multi-Turn Question Answering
X Li, F Yin, Z Sun, X Li, A Yuan, D Chai, M Zhou, J Li
ACL 2019, 2019
1432019
A model of coherence based on distributed sentence representation
J Li, E Hovy
Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014
1402014
Weakly supervised user profile extraction from twitter
J Li, A Ritter, E Hovy
Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014
1402014
Recursive deep models for discourse parsing
J Li, R Li, E Hovy
Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014
1392014
Neural net models for open-domain discourse coherence
J Li, D Jurafsky
arXiv preprint arXiv:1606.01545, 2016
1132016
Major life event extraction from twitter based on congratulations/condolences speech acts
J Li, A Ritter, C Cardie, E Hovy
Proceedings of the 2014 conference on empirical methods in natural language …, 2014
1082014
Dialogue learning with human-in-the-loop
J Li, AH Miller, S Chopra, MA Ranzato, J Weston
arXiv preprint arXiv:1611.09823, 2016
952016
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Articles 1–20