Dependency or Span, End-to-End Uniform Semantic Role Labeling
Abstract
Semantic role labeling (SRL) aims to discover the predicateargument structure of a sentence. End-to-end SRL without syntactic input has received great attention. However, most of them focus on either span-based or dependency-based semantic representation form and only show specific model optimization respectively. Meanwhile, handling these two SRL tasks uniformly was less successful. This paper presents an end-to-end model for both dependency and span SRL with a unified argument representation to deal with two different types of argument annotations in a uniform fashion. Furthermore, we jointly predict all predicates and arguments, especially including long-term ignored predicate identification subtask. Our single model achieves new state-of-the-art results on both span (CoNLL 2005, 2012) and dependency (CoNLL 2008, 2009) SRL benchmarks.
Cite
@article{arxiv.1901.05280,
title = {Dependency or Span, End-to-End Uniform Semantic Role Labeling},
author = {Zuchao Li and Shexia He and Hai Zhao and Yiqing Zhang and Zhuosheng Zhang and Xi Zhou and Xiang Zhou},
journal= {arXiv preprint arXiv:1901.05280},
year = {2019}
}