Multi-answer-focused multi-document summarization using a question-answering engine

Authors:
Tatsunori Mori;Masanori Nozawa;Yoshiaki Asada
Affiliations:
Yokohama National University, Tokiwadai, Hodogaya, Yokohama, Japan;Yokohama National University, Tokiwadai, Hodogaya, Yokohama, Japan;Yokohama National University, Tokiwadai, Hodogaya, Yokohama, Japan
Venue:
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Year:
2004

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Abstract

Recent years, the answer-focused summarization is paid attention to as a technology complementary to information retrieval and question answering. In order to realize multi-document summarization focused by multiple questions, we propose a method to calculate sentence importance using scores produced by a Question-Answering engine in response to multiple questions. We also describe an integration of it into a generic multi-document summarization system. The evaluation results show that the proposed method has better performance than not only several baselines but also other participants' systems in the evaluation workshop NTCIR4 TSC3 Formal Run, although we have to take notice of the fact that some of the other systems do not use the information of questions.