Simplify the usage of lexicon in Chinese NER R Ma, M Peng, Q Zhang, X Huang arXiv preprint arXiv:1908.05969, 2019 | 342 | 2019 |
A lexicon-based graph neural network for Chinese NER T Gui, Y Zou, Q Zhang, M Peng, J Fu, Z Wei, XJ Huang Proceedings of the 2019 conference on empirical methods in natural language …, 2019 | 274 | 2019 |
Cooperative multimodal approach to depression detection in twitter T Gui, L Zhu, Q Zhang, M Peng, X Zhou, K Ding, Z Chen Proceedings of the AAAI conference on artificial intelligence 33 (01), 110-117, 2019 | 135 | 2019 |
Distantly supervised named entity recognition using positive-unlabeled learning M Peng, X Xing, Q Zhang, J Fu, X Huang arXiv preprint arXiv:1906.01378, 2019 | 121 | 2019 |
Trainable undersampling for class-imbalance learning M Peng, Q Zhang, X Xing, T Gui, X Huang, YG Jiang, K Ding, Z Chen Proceedings of the AAAI conference on artificial intelligence 33 (01), 4707-4714, 2019 | 120 | 2019 |
Cross-domain sentiment classification with target domain specific information M Peng, Q Zhang, Y Jiang, XJ Huang Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 120 | 2018 |
Part-of-speech tagging for twitter with adversarial neural networks T Gui, Q Zhang, H Huang, M Peng, XJ Huang Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 108 | 2017 |
Textflint: Unified multilingual robustness evaluation toolkit for natural language processing X Wang, Q Liu, T Gui, Q Zhang, Y Zou, X Zhou, J Ye, Y Zhang, R Zheng, ... Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 90 | 2021 |
Topic-oriented spoken dialogue summarization for customer service with saliency-aware topic modeling Y Zou, L Zhao, Y Kang, J Lin, M Peng, Z Jiang, C Sun, Q Zhang, X Huang, ... Proceedings of the AAAI Conference on Artificial Intelligence 35 (16), 14665 …, 2021 | 70 | 2021 |
How robust is gpt-3.5 to predecessors? a comprehensive study on language understanding tasks X Chen, J Ye, C Zu, N Xu, R Zheng, M Peng, J Zhou, T Gui, Q Zhang, ... arXiv preprint arXiv:2303.00293, 2023 | 40 | 2023 |
Adaptive multi-attention network incorporating answer information for duplicate question detection D Liang, F Zhang, W Zhang, Q Zhang, J Fu, M Peng, T Gui, X Huang Proceedings of the 42nd international ACM SIGIR conference on research and …, 2019 | 40 | 2019 |
Textflint: Unified multilingual robustness evaluation toolkit for natural language processing T Gui, X Wang, Q Zhang, Q Liu, Y Zou, X Zhou, R Zheng, C Zhang, Q Wu, ... arXiv preprint arXiv:2103.11441, 2021 | 36 | 2021 |
Long short-term memory with dynamic skip connections T Gui, Q Zhang, L Zhao, Y Lin, M Peng, J Gong, X Huang Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 6481-6488, 2019 | 34 | 2019 |
Depression detection on social media with reinforcement learning T Gui, Q Zhang, L Zhu, X Zhou, M Peng, X Huang Chinese Computational Linguistics: 18th China National Conference, CCL 2019 …, 2019 | 29 | 2019 |
Re-matching: A fine-grained semantic matching method for zero-shot relation extraction J Zhao, W Zhan, X Zhao, Q Zhang, T Gui, Z Wei, J Wang, M Peng, M Sun arXiv preprint arXiv:2306.04954, 2023 | 22 | 2023 |
Mention recommendation in twitter with cooperative multi-agent reinforcement learning T Gui, P Liu, Q Zhang, L Zhu, M Peng, Y Zhou, X Huang Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019 | 21 | 2019 |
Eva-kellm: A new benchmark for evaluating knowledge editing of llms S Wu, M Peng, Y Chen, J Su, M Sun arXiv preprint arXiv:2308.09954, 2023 | 20 | 2023 |
Transferring from formal newswire domain with hypernet for twitter pos tagging T Gui, Q Zhang, J Gong, M Peng, D Liang, K Ding, XJ Huang Proceedings of the 2018 conference on empirical methods in natural language …, 2018 | 14 | 2018 |
OIE@ OIA: an adaptable and efficient open information extraction framework X Wang, M Peng, M Sun, P Li Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 12 | 2022 |
Weighed domain-invariant representation learning for cross-domain sentiment analysis M Peng, Q Zhang, X Huang arXiv preprint arXiv:1909.08167, 2019 | 12 | 2019 |