| Relational graph attention network for aspect-based sentiment analysis K Wang, W Shen, Y Yang, X Quan, R Wang arXiv preprint arXiv:2004.12362, 2020 | 378 | 2020 |
| Boundary enhanced neural span classification for nested named entity recognition C Tan, W Qiu, M Chen, R Wang, F Huang Proceedings of the AAAI conference on artificial intelligence 34 (05), 9016-9023, 2020 | 80 | 2020 |
| Recognizing textual entailment using sentence similarity based on dependency tree skeletons R Wang, G Neumann Proceedings of the ACL-PASCAL Workshop on Textual Entailment and …, 2007 | 79 | 2007 |
| BiSET: Bi-directional selective encoding with template for abstractive summarization K Wang, X Quan, R Wang arXiv preprint arXiv:1906.05012, 2019 | 63 | 2019 |
| Recognizing textual entailment using a subsequence kernel method R Wang, G Neumann Proceedings Of The National Conference On Artificial Intelligence 22 (1), 937, 2007 | 55 | 2007 |
| A deep cascade model for multi-document reading comprehension M Yan, J Xia, C Wu, B Bi, Z Zhao, J Zhang, L Si, R Wang, W Wang, ... Proceedings of the AAAI conference on artificial intelligence 33 (01), 7354-7361, 2019 | 49 | 2019 |
| Multi-domain dialogue acts and response co-generation K Wang, J Tian, R Wang, X Quan, J Yu arXiv preprint arXiv:2004.12363, 2020 | 48 | 2020 |
| Design and realization of a modular architecture for textual entailment S Padó, TG Noh, A Stern, R Wang, R Zanoli Natural Language Engineering 21 (2), 167-200, 2015 | 46 | 2015 |
| The ACL Anthology Searchbench U Schäfer, B Kiefer, C Spurk, J Steffen, R Wang Proceedings of the 49th Annual Meeting of the Association for Computational …, 2011 | 44 | 2011 |
| Recognizing textual relatedness with predicate-argument structures R Wang, Y Zhang Proceedings of the 2009 Conference on Empirical Methods in Natural Language …, 2009 | 41 | 2009 |
| Inference rules and their application to recognizing textual entailment G Dinu, R Wang Proceedings of the 12th Conference of the European Chapter of the ACL (EACL …, 2009 | 40 | 2009 |
| Self-attentive Biaffine Dependency Parsing. Y Li, Z Li, M Zhang, R Wang, S Li, L Si IJCAI, 5067-5073, 2019 | 38 | 2019 |
| An divide-and-conquer strategy for recognizing textual entailment R Wang, G Neumann Proceedings of the Text Analysis Conference, Gaithersburg, MD, 2008 | 37 | 2008 |
| A survey of opinion mining for texts TF Yao, XW Cheng, FY Xu, H Uszkoreit, R Wang Journal of Chinese information processing 22 (3), 71-80, 2008 | 37 | 2008 |
| Paraphrase fragment extraction from monolingual comparable corpora R Wang, C Callison-Burch Proceedings of the 4th Workshop on Building and Using Comparable Corpora …, 2011 | 36 | 2011 |
| Cross-domain dependency parsing using a deep linguistic grammar Y Zhang, R Wang Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL …, 2009 | 33 | 2009 |
| Syntax-aware neural semantic role labeling Q Xia, Z Li, M Zhang, M Zhang, G Fu, R Wang, L Si Proceedings of the AAAI conference on artificial intelligence 33 (01), 7305-7313, 2019 | 32 | 2019 |
| Semi-supervised domain adaptation for dependency parsing Z Li, X Peng, M Zhang, R Wang, L Si Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 31 | 2019 |
| Using discourse information for paraphrase extraction M Regneri, R Wang Proceedings of the 2012 Joint Conference on Empirical Methods in Natural …, 2012 | 29 | 2012 |
| Cheap facts and counter-facts R Wang, C Callison-Burch Proceedings of the NAACL HLT 2010 Workshop on Creating Speech and Language …, 2010 | 25 | 2010 |
Yi ZhangPrincipal Applied Scientist, AWS AI HLTVerified email at amazon.com
