SEEN: A Semantic Dependency Analyzer for Chinese
نویسندگان
چکیده
Determining the semantic structure of sentences is a difficult but desired task. In this paper, we propose a system for determining semantic dependency in Chinese sentences. The system is composed of 3 main modules; Syntactic analysis, headword assignment, and semantic dependency assignment. For the semantic dependency module, many classifiers are tested. The best is able to achieve an accuracy of just under 84%. Key-Words: Natural Language Processing, Semantic Dependency, Chinese
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تاریخ انتشار 2006