Extracting and Utilizing of IS-A Relation Patterns for Question Answering Systems
نویسندگان
چکیده
Most of existing open domain question answering systems predefine the conceptual category to which answers can belong. So, they cannot generate appropriate answers in every case or must use a strategy that handles exceptions when the concept requested in the question is not prepared in the system. In this paper, we suggest a flexible strategy that can generate the candidate answers which correspond to any nominal target concepts. The proposed question answering system is equipped with general patterns that can extract hyponyms of the nominal target concept with their confidence scores. Therefore, it can create a set of candidate answers from the dynamically generated ontology when a user requests any nominal concept.
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تاریخ انتشار 2005