| 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 | 2129 | 2015 |
| Deep reinforcement learning for dialogue generation J Li, W Monroe, A Ritter, M Galley, J Gao, D Jurafsky arXiv preprint arXiv:1606.01541, 2016 | 1454 | 2016 |
| A persona-based neural conversation model J Li, M Galley, C Brockett, GP Spithourakis, J Gao, B Dolan arXiv preprint arXiv:1603.06155, 2016 | 1164 | 2016 |
| Adversarial learning for neural dialogue generation J Li, W Monroe, T Shi, S Jean, A Ritter, D Jurafsky arXiv preprint arXiv:1701.06547, 2017 | 1043 | 2017 |
| Visualizing and understanding neural models in NLP J Li, X Chen, E Hovy, D Jurafsky arXiv preprint arXiv:1506.01066, 2015 | 722 | 2015 |
| A hierarchical neural autoencoder for paragraphs and documents J Li, MT Luong, D Jurafsky arXiv preprint arXiv:1506.01057, 2015 | 703 | 2015 |
| Understanding neural networks through representation erasure J Li, W Monroe, D Jurafsky arXiv preprint arXiv:1612.08220, 2016 | 561 | 2016 |
| A Unified MRC Framework for Named Entity Recognition X Li, J Feng, Y Meng, Q Han, F Wu, J Li ACL 2020, 2019 | 484 | 2019 |
| 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 | 411 | 2014 |
| Dice Loss for Data-imbalanced NLP Tasks X Li, X Sun, Y Meng, J Liang, F Wu, J Li ACL 2020, 2019 | 356 | 2019 |
| 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 | 327 | 2019 |
| Learning through dialogue interactions by asking questions J Li, AH Miller, S Chopra, MA Ranzato, J Weston arXiv preprint arXiv:1612.04936, 2016 | 316 | 2016 |
| Do multi-sense embeddings improve natural language understanding? J Li, D Jurafsky arXiv preprint arXiv:1506.01070, 2015 | 278 | 2015 |
| 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 | 255 | 2017 |
| When are tree structures necessary for deep learning of representations? J Li, MT Luong, D Jurafsky, E Hovy arXiv preprint arXiv:1503.00185, 2015 | 253 | 2015 |
| A simple, fast diverse decoding algorithm for neural generation J Li, W Monroe, D Jurafsky arXiv preprint arXiv:1611.08562, 2016 | 231 | 2016 |
| Glyce: Glyph-vectors for Chinese character representations Y Meng, W Wu, F Wang, X Li, P Nie, F Yin, M Li, Q Han, X Sun, J Li Advances in Neural Information Processing Systems, 2746-2757, 2019 | 172 | 2019 |
| 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 | 169 | 2014 |
| CorefQA: Coreference resolution as query-based span prediction W Wu, F Wang, A Yuan, F Wu, J Li ACL 2020, 6953-6963, 2020 | 164* | 2020 |
| Recursive deep models for discourse parsing J Li, R Li, E Hovy Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014 | 162 | 2014 |
Fei WuProfessor of Computer Science, Zhejiang UniversityVerified email at cs.zju.edu.cn
