skip to main content
10.1145/1943403.1943450acmconferencesArticle/Chapter ViewAbstractPublication PagesiuiConference Proceedingsconference-collections
poster

Deducing answers to english questions from structured data

Published:13 February 2011Publication History

ABSTRACT

We describe ongoing research using natural English text queries as an intelligent interface for inferring answers from structured data in a specific domain. Users can express queries whose answers need to be deduced from data in different databases, without knowing the structures of those databases nor even the existence of the sources used. Users can pose queries incrementally, elaborating on an initial query, and ask follow-up questions based on answers to earlier queries.

Inference in an axiomatic theory of the subject domain links the natural form in which the question is posed to the way relevant data is represented in a database, and composes information obtained from several databases into an answer to a complex question.

We describe the status of a prototype system, called Quadri, for answering questions about HIV treatment, using the Stanford HIV Drug Resistance Database [8] and European resources. We discuss some of the problems that need to be solved to make this approach work, and some of our solutions.

References

  1. Bobrow, D. G. et al. PARC's Bridge and Question Answering System. Proceedings of the Grammar Engineering Across Frameworks (GEAF07) Workshop, pp. 46--66, CSLI Publications, 2007.Google ScholarGoogle Scholar
  2. Bobrow. D.G. et al. A Basic Logic for Textual Inference. AAAI Workshop on Inference for Textual Question Answering, Pittsburgh, PA, 2005.Google ScholarGoogle Scholar
  3. Crouch, D. and King, T. H. Semantics via F-Structure Rewriting. Proceedings of LFG06, CSLI On-line publications, 2006.Google ScholarGoogle Scholar
  4. Elfsoft www.elfsoft.co.Google ScholarGoogle Scholar
  5. Katz, B. et al. The Start Multimedia Information System: Current Technology and Future Directions. Multimedia Information Systems, 2002.Google ScholarGoogle Scholar
  6. Maxwell, J. T. and Kaplan, R. M. An Efficient Parser for LFG. Butt, M. and King, T. H. (editors).Google ScholarGoogle Scholar
  7. On-line Proceedings of the LF G96 Conference. http://csli-publications.stanford.edu/publications. 1996.Google ScholarGoogle Scholar
  8. Popescu, A. M., Etzioni, O. and Kautz, H. Towards a Theory of Natural Language Interfaces to Databases. Proceedings of IUI 200. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Rhee, S. Y. et al. Human Immunodeficiency Virus Reverse Transcriptase and Protease Sequence Database. Nucleic Acids Res 31:298--303, 2003.Google ScholarGoogle ScholarCross RefCross Ref
  10. Stickel, M. et al. A Guide to SNARK. www.ai.sri.com/snark/tutorial.htm.Google ScholarGoogle Scholar
  11. Stickel, M. et al. Deductive Composition of Astronomical Software from Subroutine Libraries. Automated Deduction 12, Nancy, France, June 1994. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Waldinger, R. et al. Deductive Question Answering from Multiple Resources. New Directions in Question Answering, AAAI, 2004.Google ScholarGoogle Scholar
  13. Woods, W. A. et al. The Lunar Sciences Natural Language Information System: BBN Report No. 2378, Bolt Beranek and Newman Inc., Cambridge, MA 02138. (NTIS -- available as N72--28984.), June, 1972.Google ScholarGoogle Scholar

Index Terms

  1. Deducing answers to english questions from structured data

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Conferences
      IUI '11: Proceedings of the 16th international conference on Intelligent user interfaces
      February 2011
      504 pages
      ISBN:9781450304191
      DOI:10.1145/1943403

      Copyright © 2011 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 13 February 2011

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • poster

      Acceptance Rates

      Overall Acceptance Rate746of2,811submissions,27%

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader