Comparing the performance of two TAG-based surface realisers using controlled grammar traversal
Identifieur interne : 002372 ( Hal/Checkpoint ); précédent : 002371; suivant : 002373Comparing the performance of two TAG-based surface realisers using controlled grammar traversal
Auteurs : Claire Gardent [France] ; Benjamin Gottesman [Allemagne] ; Laura Perez-Beltrachini [France]Source :
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.
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Hal:inria-00537017Le document en format XML
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<front><div type="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.</div>
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<idno type="halRefHtml">23rd International Conference on Computational Linguistics (COLING 2010): Posters, Aug 2010, Beijing, China. 2010</idno>
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<idno type="stamp" n="LORIA">LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications</idno>
<idno type="stamp" n="LORIA-TALC" p="LORIA">Traitement automatique des langues et des connaissances</idno>
<idno type="stamp" n="UNIV-LORRAINE">Université de Lorraine</idno>
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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>
<surname>Gardent</surname>
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<email>claire.gardent@loria.fr</email>
<idno type="idHal">claire-gardent</idno>
<idno type="halAuthorId">59078</idno>
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<author role="aut"><persName><forename type="first">Benjamin</forename>
<surname>Gottesman</surname>
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<email>ben.gottesman@acrolinx.com</email>
<idno type="halAuthorId">548107</idno>
<orgName ref="#struct-367362"></orgName>
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<author role="aut"><persName><forename type="first">Laura</forename>
<surname>Perez-Beltrachini</surname>
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<email>laura.perez@loria.fr</email>
<idno type="halAuthorId">548108</idno>
<affiliation ref="#struct-35123"></affiliation>
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<monogr><meeting><title>23rd International Conference on Computational Linguistics (COLING 2010): Posters</title>
<date type="start">2010-08-23</date>
<date type="end">2010-08-27</date>
<settlement>Beijing</settlement>
<country key="CN">China</country>
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<imprint><date type="datePub">2010-08-27</date>
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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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