论文成果
- .Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction:Proceedings of the 35th AAAI Conference on Artificial Intelligence (CCF A),2021:14149-14157
- .Deep Metric Learning with Self-Supervised Ranking:Proceedings of the 35th AAAI Conference on Artificial Intelligence (CCF A),2021:1370-1378
- .Event Extraction as Multi-turn Question Answering:Findings of the Association for Computational Linguistics: EMNLP 2020,2020:829-838
- .Curriculum Learning for Natural Language Understanding:Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (CCF A),2020:6095-6104
- .Enhancing Pre-Trained Language Representations with Rich Knowledge for Machine Reading Comprehension:Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (CCF A),2019:2346-2357
- .Adaptive Convolution for Multi-Relational Learning:Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (CCF C),2019:978-987
- .Post Tuned Hashing: A New Approach to Indexing High-dimensional Data:Proceedings of the 26th ACM International Conference on Multimedia (CCF A),2018:834-842
- .Improving Knowledge Graph Embedding Using Simple Constraints:Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (CCF A),2018:110-121
- .Knowledge Graph Embedding with Iterative Guidance from Soft Rules:Proceedings of the 32nd AAAI Conference on Artificial Intelligence (CCF A),2018:4816-4823
- Quan Wang.Knowledge Graph Embedding: A Survey of Approaches and Applications:IEEE Transactions on Knowledge and Data Engineering (CCF A),2017,29(12):2724-2743