A Statistical Model for Parsing Semantic Dependency Relations in a Chinese Sentence
Ming Li · Chinese Journal of Computers · 2004
This paper presents a statistical semantic parser, which could discover the semantic dependency relations in a Chinese sentence. By these relations the meaning and structure of sentence could be represented. The parser was trained and evaluated on a 1M-word-scale corpus annotated with semantic dependency, Semantic Dependency Net (SDN). Various experiments were carried out to analyze the performance of the parser, and good performance was shown in parsing domain-unrestricted text. The accuracy reached as high level as the Chinese syntactic parser.