Semantic Vector Models and Functional Models of Pregroup Grammars

Anne Preller 1 Mehrnoosh Sadrzadeh 2
1 TEXTE - Exploration et exploitation de données textuelles
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : We show that vector space semantics and functional semantics in two-sorted first order logic are equivalent for pregroup grammars. An algorithm translates functional expressions to vector expressions and vice-versa. The semantics is compositional, variable free and invariant under permutations and repetitions. It includes the semantic vector models of Information Retrieval Systems and has an interior logic including a comprehension schema. The truth of a sentence in the interior logic is equivalent to the 'usual' first order formula rendering the sentence. The examples include negation, universal quantification and relative pronouns.
Type de document :
Rapport
RR-10015, 2010, pp.21
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00479637
Contributeur : Anne Preller <>
Soumis le : samedi 1 mai 2010 - 10:14:26
Dernière modification le : jeudi 24 mai 2018 - 15:59:23

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  • HAL Id : lirmm-00479637, version 1

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Anne Preller, Mehrnoosh Sadrzadeh. Semantic Vector Models and Functional Models of Pregroup Grammars. RR-10015, 2010, pp.21. 〈lirmm-00479637〉

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