Second-Order Semantic Dependency Parsing with End-to-End Neural Networks

Xinyu Wang, Jingxian Huang, Kewei Tu
2019 Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics  
Semantic dependency parsing aims to identify semantic relationships between words in a sentence that form a graph. In this paper, we propose a second-order semantic dependency parser, which takes into consideration not only individual dependency edges but also interactions between pairs of edges. We show that second-order parsing can be approximated using mean field (MF) variational inference or loopy belief propagation (LBP). We can unfold both algorithms as recurrent layers of a neural
more » ... and therefore can train the parser in an end-to-end manner. Our experiments show that our approach achieves stateof-the-art performance.
doi:10.18653/v1/p19-1454 dblp:conf/acl/WangHT19 fatcat:k3vvow4jtzexzc3wgwissy4jvi