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Using NLP or NLP Resources for Information Retrieval Tasks

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Part of the book series: Text, Speech and Language Technology ((TLTB,volume 7))

Abstract

The impact of NLP on information retrieval tasks has largely been one of promise rather than substance. While there are exceptions to this as some of the chapters in the present volume demonstrate, for the most part NLP and information retrieval have only recently started to dovetail together. In this chapter we will present a précis of our experiments in information retrieval using NLP which have had mixed success over the last few years. We introduce the respective roles of NLP and IR and then we summarise our early experiments on using syntactic analysis to derive term dependencies and structured representations of term-term relationships. We then re-thought the role that NLP could have for IR tasks and decided to concentrate our efforts onto using NLP resources rather than NLP tools in information retrieval and our more recent experiments in this area in which we use WordNet are summarised. Finally we present our conclusions and the status of our work.

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References

  • Fagan, J.L. (1987). Experiments in Automatic Phrase Indexing for Document Retrieval: A Comparison of Syntactic and Non-Syntactic Methods. PhD thesis, Department of Computer Science, Cornell University, TR.-87–868.

    Google Scholar 

  • Fellbaum, C. (1996). WordNet: An Electronic Lexical Database and Some of its Applications. MIT Press.

    Google Scholar 

  • Harman, D.K. (Ed.) (1996). The Fourth Text REtrieval Conference (TREC-4). NIST Special Publication 500–236.

    Google Scholar 

  • Ingwersen, P. (1992). Information Retrieval Interaction. Taylor Graham.

    Google Scholar 

  • Karlsson, F., Voutilainen, A., Heikki lä, J. and Anttila, A. (1995). Constraint Grammar: A Language-Independent System for Parsing Unrestricted Text. Mouton de Gruyter: Berlin and New York.

    Google Scholar 

  • Kazman, R., Al-Halimi, R.., Hunt, W. and Mantei, M. (1996). Four Paradigms for Indexing Video Conferences. IEEE Multimedia, 3 (1), pp. 63–73.

    Article  Google Scholar 

  • Krovetz, R. and Croft, W.B. (1992). Lexical Ambiguity and Information Retrieval. ACM Transactions on Information Systems, 10 (2), pp. 115–141.

    Article  Google Scholar 

  • Lenat, D.B. (1995). CYC: A Large-Scale Investment in Knowledge Infrastructure. Com munications of the ACM, 38 (11), pp. 33–38.

    Google Scholar 

  • Miller, G.A. and Charles, G. (1991). Contextual Correlates of Semantic Similarity. Language and Cognitive processes, 6(1), pp. 1-28.

    Google Scholar 

  • Miller, G.A., Beckwith, R., Felbaum, C., Gross, D. and Miller, K. (1990). Introduction to WordNet: An On-Line Lexical Database. International Journal of Lexicography„ 3 (4), pp. 235–244.

    Article  Google Scholar 

  • Miller, G.A. (1995). WordNet: A Lexical Database for English. Communications of the ACM, 38 (11), pp. 39–41.

    Article  Google Scholar 

  • Resnik, P. (1995). Using Information Content to Evaluate Semantic Similarity in a Taxonomy. In: Proceedings of the 1.4th International Joint Conference on Artificial Intelligence, pp. 448–453.

    Google Scholar 

  • Richardson, R. and Smeaton, A.F. (1995). Automatic Word Sense Disambiguation in a KBIR Application. Presented at the 17th BCS-IRSG Colloquium, Manchester and reprinted in The New Review of Document and text Management„ 1, pp. 299–319.

    Google Scholar 

  • Richardson, R. (1994). A Semantic-Based Approach to Information Processing. PhD Thesis, Dublin City University, Glasnevin, Dublin, Ireland.

    Google Scholar 

  • Sanderson, M. (1994). Word Sense Disambiguation and Information Retrieval. In Proceedings of the 17th ACM-SIGIR Conference on Research and Development in Information Retrieval, Dublin, Ireland, pp. 49–57.

    Google Scholar 

  • Sheridan, P. and Smeaton, A.F. (1992). The Application of Morpho-Syntactic Language processing to Effective Phrase Matching. Information Processing and Management, 28 (3), pp. 349–369.

    Article  Google Scholar 

  • Smeaton, A.F. and van Rijsbergen, C.J. (1988). Experiments on Incorporating Syntactic Processing of User Queries into a Document Retrieval Strategy. In Proceedings of the 11th International ACM-SIGIR Conference on Research and Development in Information Retrieval, Grenoble, France, pp. 31–54.

    Google Scholar 

  • Smeaton, A.F. and Quigley, I. (1996). Experiments on Using Semantic Distances between Words in Image Caption Retrieval. In Proceedings of the 19th ACM-SIGIR Conference on Research and Development in Information Retrieval, Zurich, Switzerland, pp. 174–180.

    Google Scholar 

  • Stairmand, M.A. (1997). Textual Context Analysis for Information Retrieval. In Proceedings of the 20th ACM-SIGIR Conference on Research and Development in Information Retrieval, Philadelphia, USA, pp. 140–147.

    Google Scholar 

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© 1999 Springer Science+Business Media Dordrecht

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Smeaton, A.F. (1999). Using NLP or NLP Resources for Information Retrieval Tasks. In: Strzalkowski, T. (eds) Natural Language Information Retrieval. Text, Speech and Language Technology, vol 7. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-2388-6_4

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  • DOI: https://doi.org/10.1007/978-94-017-2388-6_4

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-5209-4

  • Online ISBN: 978-94-017-2388-6

  • eBook Packages: Springer Book Archive

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