Document Summarization for Answering Non-Factoid Queries.

Evi Yulianti,Ruey-Cheng Chen,Falk Scholer,W. Bruce Croft,Mark Sanderson

IEEE Transactions on Knowledge and Data Engineering（2018）

引用 38|浏览60

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摘要

We formulate a document summarization method to extract passage-level answers for non-factoid queries, referred to as answer-biased summaries. We propose to use external information from related Community Question Answering (CQA) content to better identify answer bearing sentences. Three optimization-based methods are proposed: (i) query-biased, (ii) CQA-answer-biased, and (iii) expanded-query-bia...

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关键词

Knowledge discovery,Feature extraction,Data mining,Search engines,Optimization,Google,Web search

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