Skip to main content

SBUQA Question Answering System

  • Conference paper

Part of the Communications in Computer and Information Science book series (CCIS,volume 6)

Abstract

In this paper we propose a model for answer extraction component of a question answering system called Sbuqa. In our proposed system we exploit methods for meaning extension of the question and the candidate answers and also make use of ontology (WordNet). We use LFG -Lexical Functional Grammar, a meaning based grammar that analyses sentences in a deeper level than syntactic parsing- to represent the question and candidate answers. we proposed an algorithm called extended unification of f-structures to match the f-structure pattern of the question and f-structure patterns of candidate answers. Four main levels of matching are defined based on the exact matching, approximate matching, or no matching between slots and fillers of the two f-structure patterns. Finally, the sentences which acquire the minimum score to be offered the user are selected; the answer clause is identified in them and displayed to the user in descending order.

Keywords

  • Question answering systems
  • Answer extraction
  • Lexical Functional Grammar
  • wh-question
  • Information retrieval
  • Natural language processing

This is a preview of subscription content, access via your institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-3-540-89985-3_39
  • Chapter length: 8 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   199.00
Price excludes VAT (USA)
  • ISBN: 978-3-540-89985-3
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   259.00
Price excludes VAT (USA)

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Yarmohamadi, M.A.: Organization and Retrieving Web Information Using Automatic Conceptualization and Annotation of Web Pages, MS dissertation, Computer Engineering Department, Faculty of Engineering, Tarbiat Modarres University, Tehran, Iran (2006)

    Google Scholar 

  2. Dabir-Moghadam, M.: Theoritical Linguistics:Emergence and Development of Generative Grammar, 2nd edn. Samt Publication, Tehran (2004)

    Google Scholar 

  3. Eshragh, F., Sarabi, Z.: Question Answering Systems. BS dissertation, Electrical & Computer Engineering Department, Shahid Beheshti University, Tehran, Iran (2006)

    Google Scholar 

  4. Judge, J., Guo, Y., Jones, G.J.: An Analysis of Question Processing of English and Chinese for the NTCIR 5 Cross-Language Question Answering Task. In: Proceedings of NTCIR-5 Workshop Meeting, Tokyo, Japan (2005)

    Google Scholar 

  5. Lin, J.J., Katz, B.: Question answering from the web using knowledge annotation and knowledge mining techniques. In: Proceedings of the ACM Int. Conf. on Information and Knowledge Management, CIKM (2003)

    Google Scholar 

  6. Von-Wun, S., Hsiang-Yuan, Y., Shis-Neng, L., Wen-Ching, C.: Ontology-based knowledge extraction from semantic annotated biological literature. In: The Ninth Conference on Artificial Intelligence and Applications (2004)

    Google Scholar 

  7. Molla, D., Van Zaanen, M.: AnswerFinder at TREC 2005. In: Proceedings of the Fourteenth Text REtrieval Conference Proceedings (TREC 2005), Gaithersburg, Maryland, The United States (2005)

    Google Scholar 

  8. Kil, J.H., Lloyd, L., Skiena, S.: Question Answering with Lydia. In: Proceedings of the Fourteenth Text REtrieval Conference Proceedings (TREC 2005), Gaithersburg, Maryland, The United States (2005)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Yarmohammadi, M.A., Shamsfard, M., Yarmohammadi, M.A., Rouhizadeh, M. (2008). SBUQA Question Answering System. In: Sarbazi-Azad, H., Parhami, B., Miremadi, SG., Hessabi, S. (eds) Advances in Computer Science and Engineering. CSICC 2008. Communications in Computer and Information Science, vol 6. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89985-3_39

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-89985-3_39

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89984-6

  • Online ISBN: 978-3-540-89985-3

  • eBook Packages: Computer ScienceComputer Science (R0)