| 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 | 1191 | 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 | 462* | 2017 |
| Creative writing with a machine in the loop: Case studies on slogans and stories E Clark, AS Ross, C Tan, Y Ji, NA Smith Proceedings of the 23rd International Conference on Intelligent User …, 2018 | 398 | 2018 |
| Representation Learning for Text-level Discourse Parsing Y Ji, J Eisenstein Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 345 | 2014 |
| Better Document-level Sentiment Analysis from RST Discourse Parsing P Bhatia, Y Ji, J Eisenstein EMNLP, 2015 | 252 | 2015 |
| Discriminative Improvements to Distributional Sentence Similarity Y Ji, J Eisenstein Proceedings of the Conference on Empirical Methods in Natural Language …, 2013 | 223 | 2013 |
| The gem benchmark: Natural language generation, its evaluation and metrics S Gehrmann, T Adewumi, K Aggarwal, PS Ammanamanchi, A Aremu, ... Proceedings of the 1st Workshop on Natural Language Generation, Evaluation …, 2021 | 209 | 2021 |
| 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, ... Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 206 | 2015 |
| 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 | 192 | 2015 |
| A latent variable recurrent neural network for discourse relation language models Y Ji, G Haffari, J Eisenstein arXiv preprint arXiv:1603.01913, 2016 | 181 | 2016 |
| Hitter: Hierarchical transformers for knowledge graph embeddings S Chen, X Liu, J Gao, J Jiao, R Zhang, Y Ji Proceedings of the 2021 conference on empirical methods in natural language …, 2021 | 172 | 2021 |
| Neural discourse structure for text categorization Y Ji, NA Smith Proceedings of the 55th annual meeting of the association for computational …, 2017 | 169 | 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 | 160 | 2018 |
| Reevaluating adversarial examples in natural language J Morris, E Lifland, J Lanchantin, Y Ji, Y Qi Findings of the association for computational linguistics: EMNLP 2020, 3829-3839, 2020 | 153 | 2020 |
| 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 | 141 | 2014 |
| Generating hierarchical explanations on text classification via feature interaction detection H Chen, G Zheng, Y Ji arXiv preprint arXiv:2004.02015, 2020 | 139 | 2020 |
| Dynamic entity representations in neural language models Y Ji, C Tan, S Martschat, Y Choi, NA Smith arXiv preprint arXiv:1708.00781, 2017 | 128 | 2017 |
| Context-sensitive generation of conversational responses M Galley, A SORDONI, CJ Brockett, J Gao, WB Dolan, Y Ji, M AULI, ... US Patent 10,091,140, 2018 | 88 | 2018 |
| Document context language models Y Ji, T Cohn, L Kong, C Dyer, J Eisenstein arXiv preprint arXiv:1511.03962, 2015 | 83* | 2015 |
| Learning variational word masks to improve the interpretability of neural text classifiers H Chen, Y Ji arXiv preprint arXiv:2010.00667, 2020 | 76 | 2020 |
Jacob EisensteinGoogle ResearchVerified email at google.com
