How Important Is POS to Dependency Parsing? Joint POS Tagging and Dependency Parsing Neural Networks
CHINESE COMPUTATIONAL LINGUISTICS, CCL 2019(2019)
摘要
It is widely accepted that part-of-speech (POS) tagging and dependency parsing are highly related. Most state-of-the-art dependency parsing methods still rely on the results of POS tagging, though the tagger is not perfect yet. Inevitably, dependency parsing model will encounter performance degradation due to the error propagation problems. And it still remains uncertain about how important POS tagging is to dependency parsing. In this work, we propose a method to jointly learn POS tagging and dependency parsing so as to alleviate the error propagation problems. Our proposed method is based on transition system, which is capable to produce dependency tree efficiently and accurately. The results reported in the experiments support our idea that POS tagging is a crucial syntactic component for dependency parsing.
更多查看译文
关键词
Dependency parsing,Part-of-speech tagging,Joint learning
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络