| Does string-based neural MT learn source syntax? X Shi, I Padhi, K Knight Proceedings of the 2016 conference on empirical methods in natural language …, 2016 | 399 | 2016 |
| Generating topical poetry M Ghazvininejad, X Shi, Y Choi, K Knight Proceedings of the 2016 conference on empirical methods in natural language …, 2016 | 191 | 2016 |
| Hafez: an interactive poetry generation system M Ghazvininejad, X Shi, J Priyadarshi, K Knight Proceedings of ACL 2017, System Demonstrations, 43-48, 2017 | 189 | 2017 |
| Findings of the IWSLT 2020 evaluation campaign E Ansari, A Axelrod, N Bach, O Bojar, R Cattoni, F Dalvi, N Durrani, ... Proceedings of the 17th International Conference on Spoken Language …, 2020 | 127 | 2020 |
| Why neural translations are the right length X Shi, K Knight, D Yuret Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016 | 63 | 2016 |
| Temporal learning and sequence modeling for a job recommender system K Liu, X Shi, A Kumar, L Zhu, P Natarajan Proceedings of the Recommender Systems Challenge, 1-4, 2016 | 37 | 2016 |
| Speeding up neural machine translation decoding by shrinking run-time vocabulary X Shi, K Knight Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 34 | 2017 |
| Using first-order logic to compress sentences M Huang, X Shi, F Jin, X Zhu Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 1657-1663, 2012 | 15 | 2012 |
| Why neural machine translation prefers empty outputs X Shi, Y Xiao, K Knight arXiv preprint arXiv:2012.13454, 2020 | 10 | 2020 |
| Incident-driven machine translation and name tagging for low-resource languages U Hermjakob, Q Li, D Marcu, J May, SJ Mielke, N Pourdamghani, M Pust, ... Machine Translation 32, 59-89, 2018 | 10 | 2018 |
| Sequential heterogeneous attribute embedding for item recommendation K Liu, X Shi, P Natarajan 2017 IEEE International Conference on Data Mining Workshops (ICDMW), 773-780, 2017 | 9 | 2017 |
| How to speak a language without knowing it X Shi, K Knight, H Ji Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 7 | 2014 |
| A sequential embedding approach for item recommendation with heterogeneous attributes K Liu, X Shi, P Natarajan arXiv preprint arXiv:1805.11008, 2018 | 6 | 2018 |
| Systems and methods for automatically creating a patent application based on a claim set such that the patent application follows a document plan inferred from an example document J Priyadarshi, IC Schick, X Shi, K Knight US Patent 10,747,953, 2020 | 5 | 2020 |
| Systems and methods for providing adaptive surface texture in auto-drafted patent documents IC Schick, K Knight, J Priyadarshi, X Shi US Patent 11,023,662, 2021 | 4 | 2021 |
| DiDi's Machine translation system for WMT2020 T Chen, W Wang, W Wei, X Shi, X Li, J Ye, K Knight arXiv preprint arXiv:2010.08185, 2020 | 4 | 2020 |
| Systems and methods for facilitating editing of a confidential document by a non-privileged person by stripping away content and meaning from the document without human … IC Schick, K Knight, J Priyadarshi, X Shi US Patent 10,621,371, 2020 | 4 | 2020 |
| Fast locality sensitive hashing for beam search on gpu X Shi, S Xu, K Knight arXiv preprint arXiv:1806.00588, 2018 | 3 | 2018 |
| Consecutive question generation via dynamic multitask learning Y Li, S Li, X Shi arXiv preprint arXiv:2211.08850, 2022 | 2 | 2022 |
| Systems and methods for providing a data structure representing patent claims IC Schick, K Knight, J Priyadarshi, X Shi US Patent App. 17/230,548, 2021 | 2 | 2021 |
Jay PriyadarshiUniversity of Southern California在 usc.edu 的电子邮件经过验证
