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Representing discursive temporal knowledge: A computational application of DRT

  • Natural Languages Understanding
  • Conference paper
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Knowledge Based Computer Systems (KBCS 1989)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 444))

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Abstract

In this paper, we present an approach to the representation of temporal knowledge described in Natural Language discourse. For this purpose, we chose the framework of Discourse Representation Theory (DRT), which can be used as a theory for knowledge representation. Basing our work on precise linguistic analysis of time expression in French, we propose an extension to DRT for the temporal reference calculus, that takes temporal adverbials into account.

We show the complete processing of a Natural Language text. This includes syntactic and semantic analysis in a single framework. We propose a computational model for the semantic representation of sentences, extending the Three Branched Quantified Tree formalism. We then introduce a formalism for discourse representation, which integrates sentence representations.

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Authors and Affiliations

  1. Institut de Recherche en Informatique de Toulouse, LSI, Université Paul Sabatier, 118, route de Narbonne, 31062, Toulouse cedex, France

    Myriam Bras

Authors
  1. Myriam Bras
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Editor information

S. Ramani R. Chandrasekar K. S. R. Anjaneyulu

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© 1990 Springer-Verlag Berlin Heidelberg

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Bras, M. (1990). Representing discursive temporal knowledge: A computational application of DRT. In: Ramani, S., Chandrasekar, R., Anjaneyulu, K.S.R. (eds) Knowledge Based Computer Systems. KBCS 1989. Lecture Notes in Computer Science, vol 444. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0018390

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  • DOI: https://doi.org/10.1007/BFb0018390

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-52850-0

  • Online ISBN: 978-3-540-47168-4

  • eBook Packages: Springer Book Archive

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