Word sense disambiguation: A comprehensive knowledge exploitation framework Y Wang, M Wang, H Fujita Knowledge-Based Systems 190, 105030, 2020 | 124 | 2020 |
A synset relation-enhanced framework with a try-again mechanism for word sense disambiguation M Wang, Y Wang Proceedings of the 2020 conference on empirical methods in natural language …, 2020 | 35 | 2020 |
Easynlp: A comprehensive and easy-to-use toolkit for natural language processing C Wang, M Qiu, C Shi, T Zhang, T Liu, L Li, J Wang, M Wang, J Huang, ... arXiv preprint arXiv:2205.00258, 2022 | 26 | 2022 |
Word sense disambiguation: Towards interactive context exploitation from both word and sense perspectives M Wang, Y Wang Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 16 | 2021 |
Enhancing the context representation in similarity-based word sense disambiguation M Wang, J Zhang, Y Wang Proceedings of the 2021 conference on empirical methods in natural language …, 2021 | 7 | 2021 |
Fine-grained opinion extraction from chinese car reviews with an integrated strategy Y Wang, M Wang Journal of Shanghai Jiaotong University (Science) 23, 620-626, 2018 | 5 | 2018 |
When few-shot learning meets large-scale knowledge-enhanced pre-training: Alibaba at fewclue Z Xu, C Wang, P Li, Y Li, M Wang, B Hou, M Qiu, C Tang, J Huang Natural Language Processing and Chinese Computing: 10th CCF International …, 2021 | 4 | 2021 |
Aspect-based rating prediction on reviews using sentiment strength analysis Y Wang, Y Huang, M Wang Advances in Artificial Intelligence: From Theory to Practice: 30th …, 2017 | 3 | 2017 |