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A no-frills architecture for lightweight answer retrieval

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Marius PascaAuthors Info & Claims

WWW '07: Proceedings of the 16th international conference on World Wide Web

Pages 1289 - 1290

https://doi.org/10.1145/1242572.1242813

Published: 08 May 2007 Publication History

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Abstract

In a new model for answer retrieval, document collections are distilled offline into large repositories of facts. Each fact constitutes a potential direct answer to questions seeking a particular kind of entity or relation, such as questions asking about the date of particular events. Question answering becomes equivalent to online fact retrieval, which greatly simplifies the de-facto system architecture.

References

[1]

T. Brants. TnT -- a statistical part of speech tagger. In Proceedings of the 6th Conference on Applied Natural Language Processing (ANLP--00), pages 224--231, Seattle, Washington, 2000.

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[2]

L. Lita and J. Carbonell. Instance-based question answering: A data driven approach. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP--04), pages 396--403, Barcelona, Spain, 2004.

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[3]

S. Tellex, B. Katz, J. Lin, A. Fernandez, and G. Marton. Quantitative evaluation of passage retrieval algorithms for question answering. In Proceedings of the 26th ACM Conference on Research and Development in Information Retrieval (SIGIR--03), pages 41--47, Toronto, Canada, 2003.

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Index Terms

A no-frills architecture for lightweight answer retrieval
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
      1. Language resources
2. Information systems
  1. Information retrieval
    1. Document representation
      1. Content analysis and feature selection
    2. Information retrieval query processing

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Published In

WWW '07: Proceedings of the 16th international conference on World Wide Web

May 2007

1382 pages

ISBN:9781595936547

DOI:10.1145/1242572

General Chairs:
Carey Williamson
University of Calgary, Canada
,
Mary Ellen Zurko
IBM, USA
,
Program Chairs:
Peter Patel-Schneider
Bell Labs Research, USA
,
Prashant Shenoy
University of Massachusetts at Amherst, USA

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Association for Computing Machinery

New York, NY, United States

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Published: 08 May 2007

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WWW'07

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WWW'07: 16th International World Wide Web Conference

May 8 - 12, 2007

Alberta, Banff, Canada

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Lightweight web-based fact repositories for textual question answering

Using answer retrieval patterns to answer Portuguese questions

Structured retrieval for question answering

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