DR-link in tipster III

Elizabeth D. Liddy, Ted Diamond, Mary McKenna

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

A Natural Language Processing based Information Retrieval System that was one of the original systems developed in Phase I of TIPSTER, was the basis of research in TIPSTER III the goal of which was to add two extended capabilities to the core system. Following a description of the multiple levels of linguistic processing that were developed for the original DR-EINK System, details are provided on research into query-specific data fusion and query-specific cross-document summarization. Experimental results show that there is potential for improving retrieval through query-specific fusion and that analysts found the Detailed Multiple Document Summary to be extremely useful for almost every query, while the Thumbnail sketch was useful in approximately 50% of the queries.

Original languageEnglish (US)
Pages (from-to)291-311
Number of pages21
JournalInformation Retrieval
Volume3
Issue number4
DOIs
StatePublished - 2000

Keywords

  • Automatic summarization
  • Data fusion
  • Information retrieval
  • Natural language processing

ASJC Scopus subject areas

  • Information Systems
  • Library and Information Sciences

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