A Novel Approach To Focus Identification In Question/Answering Systems
نویسندگان
چکیده
Modern Question/Answering systems rely on expected answer types for processing questions. The answer type is a semantic category provided by Named Entity recognizer or by semantic hierarchies. We argue in this paper that Q/A systems should take advantage of the topic information by exploiting several models of question and answer categorization. The matching of the question category with the answer category allows the system to filter out many incorrect answers.
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تاریخ انتشار 2004