Recognition of alternation paraphrases: a robust and exhaustive symbolic approach
Identifieur interne : 004011 ( Hal/Curation ); précédent : 004010; suivant : 004012Recognition of alternation paraphrases: a robust and exhaustive symbolic approach
Auteurs : Marilisa Amoia [France] ; Claire Gardent [France]Source :
Abstract
In this paper we show how by incorporating linguistic knowledge in a shallow parser like XIP, it is possible to build a robust semantic parser which can cope with paraphrastic constructions involving alternations and/or lexical synonymy. The robustness of the parser is dependent on the amount of linguistic knowledge at disposal. For the moment, we have incorporated the VerbNet verb lexicon in our parser, so that it can recognise verb synonymy and meaning preserving alternations of declarative sentences. In the future, we want to extend the parser taking into consideration grammatical variations of declarative sentences and more complex cases of paraphrastic constructions, such as nominalisations and noun phrase-adjective substitution.
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<front><div type="abstract" xml:lang="en">In this paper we show how by incorporating linguistic knowledge in a shallow parser like XIP, it is possible to build a robust semantic parser which can cope with paraphrastic constructions involving alternations and/or lexical synonymy. The robustness of the parser is dependent on the amount of linguistic knowledge at disposal. For the moment, we have incorporated the VerbNet verb lexicon in our parser, so that it can recognise verb synonymy and meaning preserving alternations of declarative sentences. In the future, we want to extend the parser taking into consideration grammatical variations of declarative sentences and more complex cases of paraphrastic constructions, such as nominalisations and noun phrase-adjective substitution.</div>
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<editor role="depositor"><persName><forename>Claire</forename>
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<seriesStmt><idno type="stamp" n="INRIA">INRIA - Institut National de Recherche en Informatique et en Automatique</idno>
<idno type="stamp" n="CNRS">CNRS - Centre national de la recherche scientifique</idno>
<idno type="stamp" n="INPL">Institut National Polytechnique de Lorraine</idno>
<idno type="stamp" n="LORIA2">Publications du LORIA</idno>
<idno type="stamp" n="LORIA">LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications</idno>
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<idno type="stamp" n="UNIV-LORRAINE">Université de Lorraine</idno>
<idno type="stamp" n="INRIA-LORRAINE">INRIA Nancy - Grand Est</idno>
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<sourceDesc><biblStruct><analytic><title xml:lang="en">Recognition of alternation paraphrases: a robust and exhaustive symbolic approach</title>
<author role="aut"><persName><forename type="first">Marilisa</forename>
<surname>Amoia</surname>
</persName>
<idno type="halAuthorId">59077</idno>
<affiliation ref="#struct-2351"></affiliation>
</author>
<author role="aut"><persName><forename type="first">Claire</forename>
<surname>Gardent</surname>
</persName>
<email>claire.gardent@loria.fr</email>
<idno type="idHal">claire-gardent</idno>
<idno type="halAuthorId">59078</idno>
<affiliation ref="#struct-2351"></affiliation>
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<monogr><meeting><title>Knowledge and Reasoning for Answering Questions - KRAQ'05</title>
<date type="start">2005</date>
<settlement>Edinburgh/Scotland</settlement>
</meeting>
<imprint><date type="datePub">2005</date>
</imprint>
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<abstract xml:lang="en">In this paper we show how by incorporating linguistic knowledge in a shallow parser like XIP, it is possible to build a robust semantic parser which can cope with paraphrastic constructions involving alternations and/or lexical synonymy. The robustness of the parser is dependent on the amount of linguistic knowledge at disposal. For the moment, we have incorporated the VerbNet verb lexicon in our parser, so that it can recognise verb synonymy and meaning preserving alternations of declarative sentences. In the future, we want to extend the parser taking into consideration grammatical variations of declarative sentences and more complex cases of paraphrastic constructions, such as nominalisations and noun phrase-adjective substitution.</abstract>
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