Answering questions for an organization online

Vladimir A. Kulyukin*, Kristian J. Hammond, Robin D. Burke

*Corresponding author for this work

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

4 Scopus citations

Abstract

The World Wide Web continues to challenge organizations to make online access to their expertise convenient for their clients. One means of expertise access that many clients find convenient in everyday life is asking natural language questions of the organization. To support it online, we developed an approach to building organization-embedded question-answering intermediaries, called Information Exchange systems. These systems use their knowledge of the organization's structure to answer the clients' questions and to acquire new expertise from the organization's experts. Our approach uses techniques of hierarchical and predictive indexing, combined term weighting, abstraction-based retrieval, and negative evidence acquisition. We illustrate our approach with the Chicago Information Exchange system, an Information Exchange application embedded in one university's computer science department.

Original languageEnglish (US)
Title of host publicationProceedings of the National Conference on Artificial Intelligence
Editors Anon
PublisherAAAI
Pages532-537
Number of pages6
StatePublished - Jan 1 1998
EventProceedings of the 1998 15th National Conference on Artificial Intelligence, AAAI - Madison, WI, USA
Duration: Jul 26 1998Jul 30 1998

Other

OtherProceedings of the 1998 15th National Conference on Artificial Intelligence, AAAI
CityMadison, WI, USA
Period7/26/987/30/98

ASJC Scopus subject areas

  • Software

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