Classification of multiple-sentence questions

Authors:
Akihiro Tamura;Hiroya Takamura;Manabu Okumura
Affiliations:
Precision and Intelligence Laboratory, Tokyo Institute of Technology, Japan;Precision and Intelligence Laboratory, Tokyo Institute of Technology, Japan;Precision and Intelligence Laboratory, Tokyo Institute of Technology, Japan
Venue:
IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
Year:
2005

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Abstract

Conventional QA systems cannot answer to the questions composed of two or more sentences. Therefore, we aim to construct a QA system that can answer such multiple-sentence questions. As the first stage, we propose a method for classifying multiple-sentence questions into question types. Specifically, we first extract the core sentence from a given question text. We use the core sentence and its question focus in question classification. The result of experiments shows that the proposed method improves F-measure by 8.8% and accuracy by 4.4%.