Reluctant paraphrase

textual restructuring under an optimisation model

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

Abstract

This paper develops a computational model of paraphrase under which text modification is carried out reluctantly; that is, there are external constraints, such as length or readability, on an otherwise ideal text, and modifications to the text are necessary to ensure conformance to these constraints. This problem is analogous to a mathematical optimisation problem: the textual constraints can be described as a set of constraint equations, and the requirement for minimal change to the text can be expressed as a function to be minimised; so techniques from this domain can be used to solve the problem.
The work is done as part of a computational paraphrase system using the XTAG system as a base. The paper will present a theoretical computational framework for working within the Reluctant Paraphrase paradigm: three types of textual constraints are specified, effects of paraphrase on text are described, and a model incorporating mathematical optimisation techniques is outlined.
Original languageEnglish
Title of host publicationPACLING '97
Subtitle of host publicationproceedings of the conference of the Pacific Association for Computational Linguistics
Place of PublicationOhme, Japan
PublisherPacific Association for Computational Linguistics
Pages98-104
Number of pages7
Publication statusPublished - 1997
EventConference of the Pacific Association for Computational Linguistics (5th : 1997) - Ohme, Japan
Duration: 2 Sep 19975 Sep 1997

Conference

ConferenceConference of the Pacific Association for Computational Linguistics (5th : 1997)
CountryJapan
CityOhme
Period2/09/975/09/97

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  • Cite this

    Dras, M. (1997). Reluctant paraphrase: textual restructuring under an optimisation model. In PACLING '97: proceedings of the conference of the Pacific Association for Computational Linguistics (pp. 98-104). Ohme, Japan: Pacific Association for Computational Linguistics.