| A Neural Network Approach to Context-Sensitive Generation of Conversational Responses A Sordoni, M Galley, M Auli, C Brockett, Y Ji, M Mitchell, JY Nie, J Gao, ... Proceedings of the 2015 Conference of the North American Chapter of the …, 2015 | 946 | 2015 |
| Dynet: The dynamic neural network toolkit G Neubig, C Dyer, Y Goldberg, A Matthews, W Ammar, A Anastasopoulos, ... arXiv preprint arXiv:1701.03980, 2017 | 397* | 2017 |
| Representation Learning for Text-level Discourse Parsing Y Ji, J Eisenstein Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 251 | 2014 |
| Discriminative Improvements to Distributional Sentence Similarity Y Ji, J Eisenstein Proceedings of the Conference on Empirical Methods in Natural Language …, 2013 | 178 | 2013 |
| deltaBLEU: A discriminative metric for generation tasks with intrinsically diverse targets M Galley, C Brockett, A Sordoni, Y Ji, M Auli, C Quirk, M Mitchell, J Gao, ... arXiv preprint arXiv:1506.06863, 2015 | 165 | 2015 |
| Better Document-level Sentiment Analysis from RST Discourse Parsing P Bhatia, Y Ji, J Eisenstein EMNLP, 2015 | 157 | 2015 |
| A latent variable recurrent neural network for discourse relation language models Y Ji, G Haffari, J Eisenstein arXiv preprint arXiv:1603.01913, 2016 | 137 | 2016 |
| One Vector is Not Enough: Entity-Augmented Distributed Semantics for Discourse Relations Y Ji, J Eisenstein Transactions of the Association for Computational Linguistics 3, 329--344, 2015 | 130 | 2015 |
| Creative writing with a machine in the loop: Case studies on slogans and stories E Clark, AS Ross, C Tan, Y Ji, NA Smith 23rd International Conference on Intelligent User Interfaces, 329-340, 2018 | 125 | 2018 |
| Extracting Lexically Divergent Paraphrases from Twitter W Xu, A Ritter, C Callison-Burch, WB Dolan, Y Ji Transactions of the Association for Computational Linguistics 2, 435−448, 2014 | 120 | 2014 |
| Neural discourse structure for text categorization Y Ji, N Smith arXiv preprint arXiv:1702.01829, 2017 | 107 | 2017 |
| Dynamic entity representations in neural language models Y Ji, C Tan, S Martschat, Y Choi, NA Smith arXiv preprint arXiv:1708.00781, 2017 | 102 | 2017 |
| Neural text generation in stories using entity representations as context E Clark, Y Ji, NA Smith Proceedings of the 2018 conference of the North American chapter of the …, 2018 | 96 | 2018 |
| Document context language models Y Ji, T Cohn, L Kong, C Dyer, J Eisenstein arXiv preprint arXiv:1511.03962, 2015 | 73* | 2015 |
| LSTM based conversation models Y Luan, Y Ji, M Ostendorf arXiv preprint arXiv:1603.09457, 2016 | 57 | 2016 |
| The gem benchmark: Natural language generation, its evaluation and metrics S Gehrmann, T Adewumi, K Aggarwal, PS Ammanamanchi, ... arXiv preprint arXiv:2102.01672, 2021 | 51 | 2021 |
| Mahalanobis distance based non-negative sparse representation for face recognition Y Ji, T Lin, H Zha 2009 International Conference on Machine Learning and Applications, 41-46, 2009 | 43 | 2009 |
| Context-sensitive generation of conversational responses M Galley, A Sordoni, CJ Brockett, J Gao, WB Dolan, Y Ji, A Michael, ... US Patent 10,091,140, 2018 | 40 | 2018 |
| Reevaluating adversarial examples in natural language JX Morris, E Lifland, J Lanchantin, Y Ji, Y Qi arXiv preprint arXiv:2004.14174, 2020 | 38 | 2020 |
| Generating hierarchical explanations on text classification via feature interaction detection H Chen, G Zheng, Y Ji arXiv preprint arXiv:2004.02015, 2020 | 36 | 2020 |
Jacob EisensteinGoogle Research在 google.com 的电子邮件经过验证
