publication . Preprint . Article . 2011

Experimental Support for a Categorical Compositional Distributional Model of Meaning

Edward Grefenstette; Mehrnoosh Sadrzadeh;
Open Access English
  • Published: 20 Jun 2011
  • Country: United Kingdom
Abstract
Modelling compositional meaning for sentences using empirical distributional methods has been a challenge for computational linguists. We implement the abstract categorical model of Coecke et al. (arXiv:1003.4394v1 [cs.CL]) using data from the BNC and evaluate it. The implementation is based on unsupervised learning of matrices for relational words and applying them to the vectors of their arguments. The evaluation is based on the word disambiguation task developed by Mitchell and Lapata (2008) for intransitive sentences, and on a similar new experiment designed for transitive sentences. Our model matches the results of its competitors in the first experiment, a...
Subjects
free text keywords: Computer Science - Computation and Language, Mathematics - Category Theory, 68T50, G.1.3, H.3.1, H.3.3
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