InforLorV4, Hal, Curation, bibRecord, 001652

Comparing the performance of two TAG-based surface realisers using controlled grammar traversal

Identifieur interne : 001652 ( Hal/Curation ); précédent : 001651; suivant : 001653

Comparing the performance of two TAG-based surface realisers using controlled grammar traversal

Auteurs : Claire Gardent [France] ; Benjamin Gottesman [Allemagne] ; Laura Perez-Beltrachini [France]

Source :

RBID : Hal:inria-00537017

Abstract

We present GENSEM, a tool for generating input semantic representations for two sentence generators based on the same reversible Tree Adjoining Grammar. We then show how GENSEM can be used to produced large and controlled benchmarks and test the relative performance of these generators.

Url:

https://hal.inria.fr/inria-00537017

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Le document en format XML

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<sourceDesc><biblStruct><analytic><title xml:lang="en">Comparing the performance of two TAG-based surface realisers using controlled grammar traversal</title>
<author role="aut"><persName><forename type="first">Claire</forename>
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<author role="aut"><persName><forename type="first">Benjamin</forename>
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<author role="aut"><persName><forename type="first">Laura</forename>
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<abstract xml:lang="en">We present GENSEM, a tool for generating input semantic representations for two sentence generators based on the same reversible Tree Adjoining Grammar. We then show how GENSEM can be used to produced large and controlled benchmarks and test the relative performance of these generators.</abstract>
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Comparing the performance of two TAG-based surface realisers using controlled grammar traversal

Comparing the performance of two TAG-based surface realisers using controlled grammar traversal

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