Skip to main content
SpringerLink
Log in

Named Entity Recognition for Improving Retrieval and Translation of Chinese Documents

  • Conference paper
Digital Libraries: Universal and Ubiquitous Access to Information (ICADL 2008)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5362))

Included in the following conference series:

Abstract

This paper focuses on named entity recognition corresponding to people, organizations, locations, etc. in Chinese scientific documents. Two key benefits are shown by performing NER: (i) improved quality of semantic retrieval, and (ii) improvement in subsequent machine translation. Experiments using the Semantex platform for information extraction illustrate and quantify the two benefits outlined.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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

References

  1. Papineni, K., Roukos, S., Ward, T., Zhu, W.: Bleu: a method for automatic evaluation of machine translation (2001)

    Google Scholar 

  2. Wan, S., Verspoor, C.: Automatic english-chinese name transliteration for development of multilingual resources. In: COLING-ACL, pp. 1352–1356 (1998)

    Google Scholar 

  3. Doddington, G., Mitchell, A., Pryzbocki, M., Ramshaw, L., Weischedel, R.: The Automatic Content Extraction (ACE) Program, Tasks, Data, and Evaluation (2004)

    Google Scholar 

  4. Ji, H., Blume, M., Freitag, D., Grishman, R., Khadivi, S., Zens, R.: Nyu-fair isaac-rwth chinese to english entity translation 2007 system. In: Proceedings of NIST ET 2007 PI/Evaluation Workshop, Washington, USA (2007)

    Google Scholar 

  5. Srihari, R.K., Li, W., Cornell, T., Niu, C.: Infoxtract: A customizable intermediate level information extraction engine. Natural Language Engineering 12 (2006)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. State University of New York at Buffalo, Buffalo, NY, USA

    Rohini K. Srihari

  2. Janya Inc., Buffalo, NY, USA

    Erik Peterson

Authors
  1. Rohini K. Srihari
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Erik Peterson
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Computer Science, Swansea University, Singleton Park, SA2 8PP, Swansea, UK

    George Buchanan

  2. Computer Science Department, The University of Waikato, Hamilton, New Zealand

    Masood Masoodian

  3. Computer Science Department, University of Waikato, Hamilton, New Zealand

    Sally Jo Cunningham

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Srihari, R.K., Peterson, E. (2008). Named Entity Recognition for Improving Retrieval and Translation of Chinese Documents. In: Buchanan, G., Masoodian, M., Cunningham, S.J. (eds) Digital Libraries: Universal and Ubiquitous Access to Information. ICADL 2008. Lecture Notes in Computer Science, vol 5362. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89533-6_56

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-89533-6_56

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89532-9

  • Online ISBN: 978-3-540-89533-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation