Contextual Rules for Text Analysis

  • Authors:
  • Dina Wonsever;Jean-Luc Minel

  • Affiliations:
  • -;-

  • Venue:
  • CICLing '01 Proceedings of the Second International Conference on Computational Linguistics and Intelligent Text Processing
  • Year:
  • 2001
  • Shallow parsing based on comma values

    IBERAMIA-SBIA'06 Proceedings of the 2nd international joint conference, and Proceedings of the 10th Ibero-American Conference on AI 18th Brazilian conference on Advances in Artificial Intelligence

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Abstract

In this paper we describe a rule-based formalism for the analysis and labelling of texts segments. The rules are contextual rewriting rules with a restricted form of negation. They allow to underspecify text segments not considered relevant to a given task and to base decisions upon context. A parser for these rules is presented and consistence and completeness issues are discussed. Some results of an implementation of this parser with a set of rules oriented to the segmentation of texts in propositions are shown.