Natural Language Processing and Digital Libraries

  • Authors:
  • Jean-Pierre Chanod

  • Affiliations:
  • -

  • Venue:
  • Information Extraction: Towards Scalable, Adaptable Systems
  • Year:
  • 1999

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Abstract

As one envisions a document model where language, physical location and medium - electronic, paper or other - impose no barrier to effective use, natural language processing will play an increasing role, especially in the context of digital libraries. This paper presents language components based mostly on finite-state technology that improve our capabilities for exploring, enriching and interacting in various ways with documents. This ranges from morphology to part-of-speech tagging, NP extraction and shallow parsing. We then focus on a series of on-going projects which illustrate how this technology is already impacting the building and sharing of knowledge through digital libraries.