Semantics-aware BERT for language understanding Z Zhang, Y Wu, H Zhao, Z Li, S Zhang, X Zhou, X Zhou Proceedings of the AAAI conference on artificial intelligence 34 (05), 9628-9635, 2020 | 449 | 2020 |
Multimodal chain-of-thought reasoning in language models Z Zhang, A Zhang, M Li, H Zhao, G Karypis, A Smola arXiv preprint arXiv:2302.00923, 2023 | 355 | 2023 |
Modeling multi-turn conversation with deep utterance aggregation Z Zhang, J Li, P Zhu, H Zhao, G Liu arXiv preprint arXiv:1806.09102, 2018 | 292 | 2018 |
Retrospective reader for machine reading comprehension Z Zhang, J Yang, H Zhao Proceedings of the AAAI conference on artificial intelligence 35 (16), 14506 …, 2021 | 270 | 2021 |
An improved Chinese word segmentation system with conditional random field H Zhao, C Huang, M Li Proceedings of the Fifth SIGHAN Workshop on Chinese Language Processing, 162-165, 2006 | 251 | 2006 |
SG-Net: Syntax-guided machine reading comprehension Z Zhang, Y Wu, J Zhou, S Duan, H Zhao, R Wang Proceedings of the AAAI conference on artificial intelligence 34 (05), 9636-9643, 2020 | 215 | 2020 |
Neural word segmentation learning for Chinese D Cai, H Zhao arXiv preprint arXiv:1606.04300, 2016 | 187 | 2016 |
Part-of-speech tagging with bidirectional long short-term memory recurrent neural network P Wang, Y Qian, FK Soong, L He, H Zhao arXiv preprint arXiv:1510.06168, 2015 | 164 | 2015 |
Query rewriting for retrieval-augmented large language models X Ma, Y Gong, P He, H Zhao, N Duan arXiv preprint arXiv:2305.14283, 2023 | 163 | 2023 |
Head-driven phrase structure grammar parsing on Penn treebank J Zhou, H Zhao arXiv preprint arXiv:1907.02684, 2019 | 160 | 2019 |
Seq2seq dependency parsing Z Li, J Cai, S He, H Zhao Proceedings of the 27th International Conference on Computational …, 2018 | 154 | 2018 |
DCMN+: Dual co-matching network for multi-choice reading comprehension S Zhang, H Zhao, Y Wu, Z Zhang, X Zhou, X Zhou Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 9563-9570, 2020 | 151 | 2020 |
Unsupervised segmentation helps supervised learning of character tagging for word segmentation and named entity recognition H Zhao, C Kit Proceedings of the Sixth SIGHAN Workshop on Chinese Language Processing, 2008 | 151 | 2008 |
Effective tag set selection in Chinese word segmentation via conditional random field modeling H Zhao, CN Huang, M Li, BL Lu The 20th Pacific Asia Conference on Language, Information and Computation …, 2006 | 151 | 2006 |
Cmmlu: Measuring massive multitask language understanding in chinese H Li, Y Zhang, F Koto, Y Yang, H Zhao, Y Gong, N Duan, T Baldwin arXiv preprint arXiv:2306.09212, 2023 | 147 | 2023 |
Hierarchical contextualized representation for named entity recognition Y Luo, F Xiao, H Zhao Proceedings of the AAAI conference on artificial intelligence 34 (05), 8441-8448, 2020 | 147 | 2020 |
Syntax for semantic role labeling, to be, or not to be S He, Z Li, H Zhao, H Bai Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 142 | 2018 |
Neural machine translation with universal visual representation Z Zhang, K Chen, R Wang, M Utiyama, E Sumita, Z Li, H Zhao International Conference on Learning Representations, 2020 | 123 | 2020 |
A unified tagging solution: Bidirectional lstm recurrent neural network with word embedding P Wang, Y Qian, FK Soong, L He, H Zhao arXiv preprint arXiv:1511.00215, 2015 | 123 | 2015 |
Deep enhanced representation for implicit discourse relation recognition H Bai, H Zhao arXiv preprint arXiv:1807.05154, 2018 | 120 | 2018 |