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IBM Systems Journal 
Volume 43, Number 3, 2004
Unstructured Information Management
 Table of contents: arrowHTML arrowPDF   This article: arrowHTML arrowPDF arrowCopyright info
  

Glossary extraction and utilization in the information search and delivery system for IBM Technical Support - References

by L. Kozakov, Y. Park, T. Fin, Y. Drissi, Y. Doganata, and T. Cofino

Cited references

  1. Text REtrieval Conference (TREC), National Institute of Standards & Technology, U.S. Department of Commerce, http://trec.nist.gov.
  2. Y. Park, R. J. Byrd, and B. K. Boguraev, “Automatic Glossary Extraction: Beyond Terminology Identification,”Proceedings of the Nineteenth International Conference on Computational Linguistics (2002), pp. 772–778.
  3. IBM Support and Downloads, IBM Corporation, http://www.ibm.com/support.
  4. Y. Doganata, Y. Drissi, T. Fin, G. Brown, M. Kim, and L. Kozakov, “dBlue — An Advanced Enterprise Information Search and Delivery System,” WebSphere Developers Journal 1, No. 9, 6–10 (October 2002).
  5. B. K. Boguraev and M. S. Neff, “Lexical Cohesion, Discourse Segmentation and Document Summarization,” Proceedings of the 6th Conference on Content-Based Multimedia Information Access (RIAO'2000), Center for the Advanced Study of Information Systems, Inc. (2000).
  6. C. Wolf, S. Alpert, L. Kozakov, J. Vergo, Y. Doganata, and C-M. Karat, Comparing Search Results Summaries for Technical Support Documents: A User Study,IBM Research Report, RC22719, IBM Corporation, Yorktown Heights, N.Y. (2003).
  7. Text Analysis and Language Engineering, IBM T.J. Watson Research Center, IBM Corporation (2001), http://www.research.ibm.com/talent/.
  8. TIPSTER/SUMMAC Summarization Evaluation, T. Hand and B. Sundheim, Editors, Proceedings of the TIPSTER Text Phase III 18-Months Workshop, Fairfax, VA, 1998, Defense Advanced Research Project Agency (1998).
  9. I. Mani, T. Firmin, D. House, G. Klein, B. Sundheim, and L. Hirschman, “The TIPSTER SUMMAC Text Summarization Evaluation,” Proceedings of the 9th Conference of the European Chapter of the Association for Computational Linguistics (1999), pp. 77–158.
  10. J. Justeson and S. Katz, “Technical Terminology: Some Linguistic Properties and an Algorithm for Identification in Text,” Natural Language Engineering 1,9–27 (1995).
  11. L. Karttunen, J. Chanod, G. Grenfenstette, and A. Schiller, “Regular Expressions for Language Engineering,” Natural Language Engineering 2, No. 4, 305–328 (1996).
  12. B. Boguraev, “Towards Finite-State Analysis of Lexical Cohesion,” Proceedings of the 3rd International Conference on Finite-State Methods for Natural Language Processing, INTEX-3, Liege, Belgium (2000).
  13. Y. Park and R. Byrd, “Hybrid Text Mining for Matching Abbreviations and their Definitions,” Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2001), Intelligent Information Systems Institute, Cornell University (2001), pp. 126–133.
  14. Y. Park, “Identification of Probable Real Words: An Entropy-based Approach,” Proceedings of an ACL Workshop on Unsupervised Lexical Acquisition, Association for Computational Linguistics (2002), pp. 1–8.
  15. L. Dice, “Measures of the Amount of Ecologic Associations between Species,” Journal of Ecology 26,297–302 (1945).
  16. IBM Terminology, IBM Corporation (2001), http://www.ibm.com/ibm/terminology/.
  17. A. Spector, “Architecting Knowledge Middleware,” Proceedings of the Eleventh International World Wide Web Conference (WWW2002), Honolulu, Hawaii, May 2002, ACM, New York (2002), http://www2002.org/spector.pdf.
  18. D. Ferrucci and A. Lally, “Accelerating Corporate Research in the Development, Application and Deployment of Human Language Technologies,” Proceedings of the HLT-NAACL 2003 Workshop on Software Engineering and Architectures for Language Technology Systems, Edmonton, Canada (2003), pp. 68–75.
  19. R. Baeza-Yates and B. Ribiero-Neto, Modern Information Retrieval, Addison-Wesley, Reading, MA (1999).