| 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 | 804 | 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 | 156 | 2020 |
| Sentix: A sentiment-aware pre-trained model for cross-domain sentiment analysis J Zhou, J Tian, R Wang, Y Wu, W Xiao, L He Proceedings of the 28th international conference on computational …, 2020 | 112 | 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 | 83 | 2007 |
| Prototypical representation learning for relation extraction N Ding, X Wang, Y Fu, G Xu, R Wang, P Xie, Y Shen, F Huang, HT Zheng, ... arXiv preprint arXiv:2103.11647, 2021 | 82 | 2021 |
| BiSET: Bi-directional selective encoding with template for abstractive summarization K Wang, X Quan, R Wang arXiv preprint arXiv:1906.05012, 2019 | 77 | 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 | 76 | 2020 |
| Sentiment-aware multimodal pre-training for multimodal sentiment analysis J Ye, J Zhou, J Tian, R Wang, J Zhou, T Gui, Q Zhang, X Huang Knowledge-Based Systems 258, 110021, 2022 | 75 | 2022 |
| 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 | 61 | 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 | 56 | 2007 |
| 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 | 50 | 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 | 49 | 2011 |
| 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 | 46 | 2019 |
| Self-attentive Biaffine Dependency Parsing. Y Li, Z Li, M Zhang, R Wang, S Li, L Si IJCAI, 5067-5073, 2019 | 46 | 2019 |
| 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 | 44 | 2009 |
| Entity relation extraction as dependency parsing in visually rich documents Y Zhang, Z Bo, R Wang, J Cao, C Li, Z Bao Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 42 | 2021 |
| Recognizing textual relatedness with predicate-argument structures R Wang, Y Zhang Proceedings of the 2009 Conference on Empirical Methods in Natural Language …, 2009 | 42 | 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 | 41 | 2019 |
| An divide-and-conquer strategy for recognizing textual entailment R Wang, G Neumann Proceedings of the Text Analysis Conference, Gaithersburg, MD, 2008 | 39 | 2008 |
| Mcc-kd: Multi-cot consistent knowledge distillation H Chen, S Wu, X Quan, R Wang, M Yan, J Zhang arXiv preprint arXiv:2310.14747, 2023 | 37 | 2023 |
Yi ZhangPrincipal Applied Scientist, AWS Agentic AI LabsVerified email at amazon.com
