Question Answering System Based on Expanded Answer Types and Multi-Scores
نویسندگان
چکیده
In this paper, we describe our Question Answering System. We proposed to use 200 answer types to abate answer types’ ambiguity in Query Analysis. And as the score of extracting correct answers, we proposed TF・IDF and a word distance between an answer candidate and a weighty word from a query. Comparative experiments were conducted with QAC1 and QAC2 formal run test set. The result showed that 200 answer types are more effective than 5 answer types to decide the correct answer type and reduce the number of answer candidates. Also, the score of TF・IDF and a word distance was more effective than one score to extract many correct answers on higher rank. Keyword: 200 answer types, TF・IDF, Word Distance
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