| 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 | 1018 | 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 | 835 | 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 | 709 | 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 | 674 | 2017 |
| A Hierarchical Neural Autoencoder for Paragraphs and Documents J Li, MT Luong, D Jurafsky arXiv preprint arXiv:1506.01057, 2015 | 524 | 2015 |
| Visualizing and Understanding Neural Models in NLP J Li, X Chen, E Hovy, D Jurafsky arXiv preprint arXiv:1506.01066, 2015 | 423 | 2015 |
| 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 | 266 | 2014 |
| Understanding Neural Networks through Representation Erasure J Li, W Monroe, D Jurafsky arXiv preprint arXiv:1612.08220, 2016 | 238 | 2016 |
| Do Multi-Sense Embeddings Improve Natural Language Understanding? J Li, D Jurafsky arXiv preprint arXiv:1506.01070, 2015 | 216 | 2015 |
| When are tree structures necessary for deep learning of representations? J Li, MT Luong, D Jurafsky, E Hovy arXiv preprint arXiv:1503.00185, 2015 | 195 | 2015 |
| A Simple, Fast Diverse Decoding Algorithm for Neural Generation J Li, W Monroe, D Jurafsky arXiv preprint arXiv:1611.08562, 2016 | 136 | 2016 |
| 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 | 128 | 2014 |
| Recursive deep models for discourse parsing J Li, R Li, E Hovy Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014 | 118 | 2014 |
| 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 | 113 | 2017 |
| 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 | 108 | 2014 |
| 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 | 93 | 2014 |
| Neural Net Models for Open-Domain Discourse Coherence J Li, D Jurafsky arXiv preprint arXiv:1606.01545, 2016 | 86 | 2016 |
| Timeline generation: Tracking individuals on twitter J Li, C Cardie Proceedings of the 23rd international conference on World wide web, 643-652, 2014 | 79 | 2014 |
| Dialogue Learning With Human-In-The-Loop J Li, AH Miller, S Chopra, MA Ranzato, J Weston arXiv preprint arXiv:1611.09823, 2016 | 73 | 2016 |
| Topicspam: a topic-model based approach for spam detection J Li, C Cardie, S Li Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013 | 73 | 2013 |
Dan JurafskyProfessor of Linguistics and Computer Science, Stanford UniversityEmail verificata su stanford.edu
