Joint Chinese Word Segmentation and Span-based Constituency Parsing
Computation and Language
2022-12-01 v2 Machine Learning
Abstract
In constituency parsing, span-based decoding is an important direction. However, for Chinese sentences, because of their linguistic characteristics, it is necessary to utilize other models to perform word segmentation first, which introduces a series of uncertainties and generally leads to errors in the computation of the constituency tree afterward. This work proposes a method for joint Chinese word segmentation and Span-based Constituency Parsing by adding extra labels to individual Chinese characters on the parse trees. Through experiments, the proposed algorithm outperforms the recent models for joint segmentation and constituency parsing on CTB 5.1.
Cite
@article{arxiv.2211.01638,
title = {Joint Chinese Word Segmentation and Span-based Constituency Parsing},
author = {Zhicheng Wang and Tianyu Shi and Cong Liu},
journal= {arXiv preprint arXiv:2211.01638},
year = {2022}
}