Paper: Character-Level Chinese Dependency Parsing

ACL ID P14-1125
Title Character-Level Chinese Dependency Parsing
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2014

Recent work on Chinese analysis has led to large-scale annotations of the internal structures of words, enabling character- level analysis of Chinese syntactic struc- tures. In this paper, we investigate the problem of character-level Chinese depen- dency parsing, building dependency trees over characters. Character-level infor- mation can benefit downstream applica- tions by offering flexible granularities for word segmentation while improving word- level dependency parsing accuracies. We present novel adaptations of two ma- jor shift-reduce dependency parsing algo- rithms to character-level parsing. Exper- imental results on the Chinese Treebank demonstrate improved performances over word-based parsing methods.