| Search engine with natural language-based robust parsing for user query and relevance feedback learning HF Wang, KF Lee, Q Yang US Patent 6,766,320, 2004 | 782 | 2004 |
| Multi-task learning for multiple language translation D Dong, H Wu, W He, D Yu, H Wang Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 573 | 2015 |
| Ernie 2.0: A continual pre-training framework for language understanding Y Sun, S Wang, Y Li, S Feng, H Tian, H Wu, H Wang Proceedings of the AAAI conference on artificial intelligence 34 (05), 8968-8975, 2020 | 502 | 2020 |
| Learning semantic hierarchies via word embeddings R Fu, J Guo, B Qin, W Che, H Wang, T Liu Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 321 | 2014 |
| Method and apparatus for training transliteration model and parsing statistic model, method and apparatus for transliteration H Wang, Y Guo US Patent 7,853,444, 2010 | 301 | 2010 |
| Pivot language approach for phrase-based statistical machine translation H Wu, H Wang Machine Translation, 165-181, 2007 | 246 | 2007 |
| Dureader: a chinese machine reading comprehension dataset from real-world applications W He, K Liu, J Liu, Y Lyu, S Zhao, X Xiao, Y Liu, Y Wang, H Wu, Q She, ... arXiv preprint arXiv:1711.05073, 2017 | 236 | 2017 |
| RocketQA: An optimized training approach to dense passage retrieval for open-domain question answering Y Qu, Y Ding, J Liu, K Liu, R Ren, WX Zhao, D Dong, H Wu, H Wang arXiv preprint arXiv:2010.08191, 2020 | 228 | 2020 |
| Ernie-vil: Knowledge enhanced vision-language representations through scene graphs F Yu, J Tang, W Yin, Y Sun, H Tian, H Wu, H Wang Proceedings of the AAAI Conference on Artificial Intelligence 35 (4), 3208-3216, 2021 | 206 | 2021 |
| Cross-lingual dependency parsing based on distributed representations J Guo, W Che, D Yarowsky, H Wang, T Liu Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 184 | 2015 |
| PaddlePaddle: An open-source deep learning platform from industrial practice Y Ma, D Yu, T Wu, H Wang Frontiers of Data and Domputing 1 (1), 105-115, 2019 | 173 | 2019 |
| Unimo: Towards unified-modal understanding and generation via cross-modal contrastive learning W Li, C Gao, G Niu, X Xiao, H Liu, J Liu, H Wu, H Wang arXiv preprint arXiv:2012.15409, 2020 | 171 | 2020 |
| STACL: Simultaneous translation with implicit anticipation and controllable latency using prefix-to-prefix framework M Ma, L Huang, H Xiong, R Zheng, K Liu, B Zheng, C Zhang, Z He, H Liu, ... arXiv preprint arXiv:1810.08398, 2018 | 160 | 2018 |
| PLATO: Pre-trained dialogue generation model with discrete latent variable S Bao, H He, F Wang, H Wu, H Wang arXiv preprint arXiv:1910.07931, 2019 | 159 | 2019 |
| Revisiting embedding features for simple semi-supervised learning J Guo, W Che, H Wang, T Liu Proceedings of the 2014 conference on empirical methods in natural language …, 2014 | 151 | 2014 |
| Chinese poetry generation with planning based neural network Z Wang, W He, H Wu, H Wu, W Li, H Wang, E Chen arXiv preprint arXiv:1610.09889, 2016 | 133 | 2016 |
| Domain adaptation for statistical machine translation with domain dictionary and monolingual corpora H Wu, H Wang, C Zong Proceedings of the 22nd International Conference on Computational …, 2008 | 132 | 2008 |
| SKEP: Sentiment knowledge enhanced pre-training for sentiment analysis H Tian, C Gao, X Xiao, H Liu, B He, H Wu, H Wang, F Wu arXiv preprint arXiv:2005.05635, 2020 | 131 | 2020 |
| Proactive human-machine conversation with explicit conversation goals W Wu, Z Guo, X Zhou, H Wu, X Zhang, R Lian, H Wang arXiv preprint arXiv:1906.05572, 2019 | 131 | 2019 |
| Improved neural machine translation with SMT features W He, Z He, H Wu, H Wang Thirtieth AAAI conference on artificial intelligence, 2016 | 131 | 2016 |
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