Question answering using integrated information retrieval and information extraction

Barry Schiffman, Kathleen R. McKeown, Ralph Grishman, James Allan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper addresses the task of providing extended responses to questions regarding specialized topics. This task is an amalgam of information retrieval, topical summarization, and Information Extraction (IE). We present an approach which draws on methods from each of these areas, and compare the effectiveness of this approach with a query-focused summarization approach. The two systems are evaluated in the context of the prosecution queries like those in the DARPA GALE distillation evaluation.

Original languageEnglish (US)
Title of host publicationNAACL HLT 2007 - Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics, Proceedings of the Main Conference
Pages532-539
Number of pages8
StatePublished - 2007
EventHuman Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics, NAACL HLT 2007 - Rochester, NY, United States
Duration: Apr 22 2007Apr 27 2007

Other

OtherHuman Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics, NAACL HLT 2007
CountryUnited States
CityRochester, NY
Period4/22/074/27/07

ASJC Scopus subject areas

  • Language and Linguistics
  • Linguistics and Language

Fingerprint Dive into the research topics of 'Question answering using integrated information retrieval and information extraction'. Together they form a unique fingerprint.

Cite this