Skip to main content

Extracting and Utilizing of IS-A Relation Patterns for Question Answering Systems

  • Conference paper
Information Retrieval Technology (AIRS 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3689))

Included in the following conference series:

Abstract

Most of existing open domain question answering systems predefine the conceptual category to which answers can belong. So, they cannot generate appropriate answers in every case or must use a strategy that handles exceptions when the concept requested in the question is not prepared in the system. In this paper, we suggest a flexible strategy that can generate the candidate answers which correspond to any nominal target concepts. The proposed question answering system is equipped with general patterns that can extract hyponyms of the nominal target concept with their confidence scores. Therefore, it can create a set of candidate answers from the dynamically generated ontology when a user requests any nominal concept.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Harabagiu, S., Moldovan, D., Paşca, M., Mihalcea, R., Surdeanu, M., Bunescu, R., Gîrju, R., Rus, V., Morărescu, P.: The Role of Lexico-Semantic Feedback in Open-Domain Textual Question-Answering. In: Proceedings of ACL 2001, pp. 274–281 (2001)

    Google Scholar 

  2. Lee, G.G., Seo, J., Lee, S., Jung, H., Cho, B., Lee, C., Kwak, B., Cha, J., Kim, D., An, J., Kim, H., Kim, K.: SiteQ: Engineering High Performance QA system Using Lexico-Semantic Pattern Matching and Shallow NLP. In: Proceedings of TREC 10 (2001)

    Google Scholar 

  3. Ravichandran, D., Hovy, E.: Learning surface text patterns for a question answering system. In: Proceedings of ACL 2002, pp. 41–47 (2002)

    Google Scholar 

  4. Riloff, E.: Automatically Generating Extraction Patterns from untagged text. In: Proceedings of the Thirteenth National Conference on Artificial Intelligence (1996)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Shim, B., Ko, Y., Seo, J. (2005). Extracting and Utilizing of IS-A Relation Patterns for Question Answering Systems. In: Lee, G.G., Yamada, A., Meng, H., Myaeng, S.H. (eds) Information Retrieval Technology. AIRS 2005. Lecture Notes in Computer Science, vol 3689. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11562382_70

Download citation

  • DOI: https://doi.org/10.1007/11562382_70

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29186-2

  • Online ISBN: 978-3-540-32001-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics