Codebert: A pre-trained model for programming and natural languages Z Feng, D Guo, D Tang, N Duan, X Feng, M Gong, L Shou, B Qin, T Liu, ... arXiv preprint arXiv:2002.08155, 2020 | 2359 | 2020 |
Unified language model pre-training for natural language understanding and generation L Dong, N Yang, W Wang, F Wei, X Liu, Y Wang, J Gao, M Zhou, HW Hon Advances in neural information processing systems 32, 2019 | 1731 | 2019 |
Learning sentiment-specific word embedding for twitter sentiment classification D Tang, F Wei, N Yang, M Zhou, T Liu, B Qin Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 1609 | 2014 |
Target-dependent twitter sentiment classification L Jiang, M Yu, M Zhou, X Liu, T Zhao Proceedings of the 49th annual meeting of the association for computational …, 2011 | 1429 | 2011 |
Adaptive recursive neural network for target-dependent twitter sentiment classification L Dong, F Wei, C Tan, D Tang, M Zhou, K Xu Proceedings of the 52nd annual meeting of the association for computational …, 2014 | 1198 | 2014 |
Minilm: Deep self-attention distillation for task-agnostic compression of pre-trained transformers W Wang, F Wei, L Dong, H Bao, N Yang, M Zhou Advances in Neural Information Processing Systems 33, 5776-5788, 2020 | 1032 | 2020 |
Unicoder-vl: A universal encoder for vision and language by cross-modal pre-training G Li, N Duan, Y Fang, M Gong, D Jiang Proceedings of the AAAI conference on artificial intelligence 34 (07), 11336 …, 2020 | 922 | 2020 |
Graphcodebert: Pre-training code representations with data flow D Guo, S Ren, S Lu, Z Feng, D Tang, S Liu, L Zhou, N Duan, ... arXiv preprint arXiv:2009.08366, 2020 | 883 | 2020 |
Gated self-matching networks for reading comprehension and question answering W Wang, N Yang, F Wei, B Chang, M Zhou Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 839 | 2017 |
Neural speech synthesis with transformer network N Li, S Liu, Y Liu, S Zhao, M Liu Proceedings of the AAAI conference on artificial intelligence 33 (01), 6706-6713, 2019 | 823 | 2019 |
Mean field multi-agent reinforcement learning Y Yang, R Luo, M Li, M Zhou, W Zhang, J Wang International conference on machine learning, 5571-5580, 2018 | 771 | 2018 |
Layoutlm: Pre-training of text and layout for document image understanding Y Xu, M Li, L Cui, S Huang, F Wei, M Zhou Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 722 | 2020 |
Achieving human parity on automatic chinese to english news translation H Hassan, A Aue, C Chen, V Chowdhary, J Clark, C Federmann, X Huang, ... arXiv preprint arXiv:1803.05567, 2018 | 714 | 2018 |
Codexglue: A machine learning benchmark dataset for code understanding and generation S Lu, D Guo, S Ren, J Huang, A Svyatkovskiy, A Blanco, C Clement, ... arXiv preprint arXiv:2102.04664, 2021 | 696 | 2021 |
Recognizing named entities in tweets X Liu, S Zhang, F Wei, M Zhou Proceedings of the 49th annual meeting of the association for computational …, 2011 | 635 | 2011 |
Topic sentiment analysis in twitter: a graph-based hashtag sentiment classification approach X Wang, F Wei, X Liu, M Zhou, M Zhang Proceedings of the 20th ACM international conference on Information and …, 2011 | 631 | 2011 |
Sequential matching network: A new architecture for multi-turn response selection in retrieval-based chatbots Y Wu, W Wu, C Xing, M Zhou, Z Li arXiv preprint arXiv:1612.01627, 2016 | 619 | 2016 |
User-level sentiment analysis incorporating social networks C Tan, L Lee, J Tang, L Jiang, M Zhou, P Li Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011 | 590 | 2011 |
Low-quality product review detection in opinion summarization J Liu, Y Cao, CY Lin, Y Huang, M Zhou Proceedings of the 2007 joint conference on empirical methods in natural …, 2007 | 584 | 2007 |
Question answering over freebase with multi-column convolutional neural networks L Dong, F Wei, M Zhou, K Xu Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 583 | 2015 |