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A common architecture to encourage reuse of natural language/text processing tools

T. Richard MacMillan, Elaine P. Lusher, Martha L. Farinacci, Sharon J. Laskowski, Leonard J. Seligman, Adrienne J. Kleiboemer

Abstract

Text analysis systems that handle large amounts of free-form narrative text are beginning to use natural language processing algorithms, employing linguistic-based techniques to deduce meaning. Existing natural language/text processing (NL/TP) systems often serve similar purposes and use similar components, but component reuse is rare. We have designed a domain-designed architecture to promote reusability of NL/TP software and data components. It is constructed from an ontology of the NL/TP domain, which was derived from a survey of NL/TP applications and users, and is represented by an object-oriented model. The architecture also includes interoperability standards, interface protocols, and tools for developing reusable components intended to promote reuse of software and data across a wide range of NL/TP applications and technologies, from keyword searching to semantic analysis.>

BibTeX
@inproceedings{MacMillan-al:ASE93,
  author    = {T. Richard MacMillan and
               Elaine P. Lusher and
               Martha L. Farinacci and
               Sharon J. Laskowski and
               Leonard J. Seligman and
               Adrienne J. Kleiboemer},
  title     = {A common architecture to encourage reuse of natural language/text processing tools},
  booktitle = {ASE},
  pages     = {133--142},
  publisher = {{IEEE} Computer Society},
  year      = {1993},
}

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