Paper: Semantic Role Tagging for Chinese at the Lexical Level

ACL ID I05-1070
Title Semantic Role Tagging for Chinese at the Lexical Level
Venue International Joint Conference on Natural Language Processing
Session Main Conference
Year 2005
Authors

This paper reports on a study of semantic role tagging in Chinese, in the absence of a parser. We investigated the effect of using only lexical infor- mation in statistical training; and proposed to identify the relevant headwords in a sentence as a first step to partially locate the corresponding constituents to be labelled. Experiments were done on a textbook corpus and a news corpus, rep- resenting simple data and complex data respectively. Results suggested that in Chinese, simple lexical features are useful enough when constituent boundaries are known, while parse information might be more important for complicated sentences than simple ones. Several ways to improve the headword identifica- tion results were suggested, and we also plan to explore some class-based tech- nique...