Answer extraction and ranking strategies for definitional question answering using linguistic features and definition terminology

Kyoung Soo Han, Young In Song, Sang Bum Kim, Hae-Chang Rim

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

We propose answer extraction and ranking strategies for definitional question answering using linguistic features and definition terminology. A passage expansion technique based on simple anaphora resolution is introduced to retrieve more informative sentences, and a phrase extraction method based on syntactic information of the sentences is proposed to generate a more concise answer. In order to rank the phrases, we use several evidences including external definitions and definition terminology. Although external definitions are useful, it is obvious that they cannot cover all the possible targets. The definition terminology score which reflects how the phrase is definition-like is devised to assist the incomplete external definitions. Experimental results show that the proposed answer extraction and ranking method are effective and also show that our proposed system is comparable to state-of-the-art systems.

Original languageEnglish
Pages (from-to)353-364
Number of pages12
JournalInformation Processing and Management
Volume43
Issue number2
DOIs
Publication statusPublished - 2007 Mar 1

Fingerprint

Terminology
Linguistics
technical language
ranking
linguistics
Syntactics
Question answering
Ranking
evidence

Keywords

  • Definition terminology
  • Definitional question answering
  • Passage expansion
  • Phrase extraction

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Library and Information Sciences

Cite this

Answer extraction and ranking strategies for definitional question answering using linguistic features and definition terminology. / Han, Kyoung Soo; Song, Young In; Kim, Sang Bum; Rim, Hae-Chang.

In: Information Processing and Management, Vol. 43, No. 2, 01.03.2007, p. 353-364.

Research output: Contribution to journalArticle

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