Extraction of questions behind messages

Naohiro Matsumura*, Daisuke Kawahara, Masashi Okamoto, Sadao Kurohashi, Toyoaki Nishida

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


To overcome the limitation of conventional text-mining approaches in which frequent patterns of word occurrences are to be extracted to understand obvious user needs, this paper proposes an approach to extracting questions behind messages to understand potential user needs. We first extract characteristic case frames by comparing the case frames constructed from target messages with the ones from 25M sentences in the Web and 20M sentences in newspaper articles of 20 years. Then we extract questions behind messages by transforming the characteristic case frames into interrogative sentences based on new information and old information, i.e., replacing new information with WH-question words. The proposed approach is, in other words, a kind of classification of word occurrence pattern. Qualitative evaluations of our preliminary experiments suggest that extracted questions show problem consciousness and alternative solutions - all of which help to understand potential user needs.

Original languageEnglish
Pages (from-to)93-102
Number of pages10
JournalTransactions of the Japanese Society for Artificial Intelligence
Issue number1
Publication statusPublished - 2007
Externally publishedYes


  • Case frame
  • Question extraction

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence


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