Adversarial Multi-lingual Neural Relation Extraction

Xiaozhi Wang, Xu Han, Yankai Lin, Zhiyuan Liu, Maosong Sun
2018 International Conference on Computational Linguistics  
Multi-lingual relation extraction aims to find unknown relational facts from text in various languages. Existing models cannot well capture the consistency and diversity of relation patterns in different languages. To address these issues, we propose an adversarial multi-lingual neural relation extraction (AMNRE) model, which builds both consistent and individual representations for each sentence to consider the consistency and diversity among languages. Further, we adopt an adversarial
more » ... strategy to ensure those consistent sentence representations could effectively extract the language-consistent relation patterns. The experimental results on real-world datasets demonstrate that our AMNRE model significantly outperforms the state-of-the-art models. The source code of this paper can be obtained from https://github.com/thunlp/AMNRE.
dblp:conf/coling/WangHL0S18 fatcat:z3nyacma75de3gg2wbmva4tugu