Natural Language Processing of Patents and Technical Documentation

  • Gaetano Cascini
  • Alessandro Fantechi
  • Emilio Spinicci
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3163)

Abstract

Natural Language Processing techniques for text-mining and information retrieval are finding application in the analysis of many kinds of documentation, from technical documentation to World Wide Web. Particularly, Functional Analysis techniques are based on the extraction of the interactions between the entities described in the document: these interactions are expressed as Subject-Action-Object (SAO) triples (obtainable using a suitable syntactic parser) which represent a concept in its most synthesizing form. In this work, the techniques developed for a functional analysis of patents and their implementation in the PAT-Analyzer tool are presented. The same technique has been properly tailored and applied to the analysis of software requirements documents. Current work in the direction of the development of a SAO-based Content Analysis of technical documentation is presented.

Keywords

Shape Memory Alloy Natural Language Processing Requirement Engineer Software Requirement Requirement Document 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Gaetano Cascini
    • 1
  • Alessandro Fantechi
    • 2
  • Emilio Spinicci
    • 2
  1. 1.Dipartimento di Meccanica e Tecnologie Industriali 
  2. 2.Dipartimento di Sistemi e InformaticaUniversità degli Studi di FirenzeFirenzeItaly

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