Skip to Main content Skip to Navigation
Reports

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.
Complete list of metadata

https://hal-lirmm.ccsd.cnrs.fr/lirmm-00479637
Contributor : Anne Preller <>
Submitted on : Saturday, May 1, 2010 - 10:14:26 AM
Last modification on : Thursday, May 24, 2018 - 3:59:23 PM

Identifiers

  • HAL Id : lirmm-00479637, version 1

Collections

Citation

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

Share

Metrics

Record views

323