Relation-aware entity alignment for heterogeneous knowledge graphs Y Wu, X Liu, Y Feng, Z Wang, R Yan, D Zhao Proceedings of the Twenty-Eighth International Joint Conference on …, 2019 | 327 | 2019 |
Jointly learning entity and relation representations for entity alignment Y Wu, X Liu, Y Feng, Z Wang, D Zhao Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 160 | 2019 |
Neighborhood Matching Network for Entity Alignment Y Wu, X Liu, Y Feng, Z Wang, D Zhao Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 130 | 2020 |
Sire: Separate intra-and inter-sentential reasoning for document-level relation extraction S Zeng, Y Wu, B Chang ACL-IJCNLP 2021 Findings, 2021 | 56 | 2021 |
Everything Has a Cause: Leveraging Causal Inference in Legal Text Analysis X Liu, D Yin, Y Feng, Y Wu, D Zhao Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 28 | 2021 |
Integrating manifold knowledge for global entity linking with heterogeneous graphs Z Chen, Y Wu, Y Feng, D Zhao Data Intelligence 4 (1), 20-40, 2022 | 3 | 2022 |
Towards Enhancing Relational Rules for Knowledge Graph Link Prediction S Wu, H Wan, W Chen, Y Wu, J Shen, Y Lin Findings of the Association for Computational Linguistics: EMNLP 2023, 2023 | | 2023 |
Align-then-Enhance: Entailment Graph Enhancement with Soft Predicate Alignment Y Wu, Y Hu, Y Feng, T Li, M Steedman, D Zhao 61st Annual Meeting of the Association for Computational Linguistics, 881-894, 2023 | | 2023 |