POSTECH Question-Answering Experiments at NTCIR4-QAC
نویسندگان
چکیده
This paper describes our system and additional experimental results in NTCIR-4 QAC Task 1. The main components of our system are question classification, passage retrieval, and named entity extraction. Passage retrieval was performed by a density-based ranking method based on importance of query terms occurred in the passage. Question classification and Named entity extraction were designed by the rule-based approach that uses lexico-semantic patterns, in which the Kadokawa thesaurus is basic semantic resource. Our QA system consisting of these basic components showed a weak performance in NTCIR-4, but obtained high performance in pure answer extraction.
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