Neural Relation Extraction with Multi-lingual Attention

Yankai Lin, Zhiyuan Liu, Maosong Sun
2017 Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)  
Relation extraction has been widely used for finding unknown relational facts from the plain text. Most existing methods focus on exploiting mono-lingual data for relation extraction, ignoring massive information from the texts in various languages. To address this issue, we introduce a multi-lingual neural relation extraction framework, which employs monolingual attention to utilize the information within mono-lingual texts and further proposes cross-lingual attention to consider the
more » ... n consistency and complementarity among cross-lingual texts. Experimental results on real-world datasets show that our model can take advantage of multi-lingual texts and consistently achieve significant improvements on relation extraction as compared with baselines. The source code of this paper can be obtained from https://github. com/thunlp/MNRE
doi:10.18653/v1/p17-1004 dblp:conf/acl/LinLS17 fatcat:qnpzfmi3g5hbvd7cn7p3veprny