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ISNN
2007
Springer

A Connectionist Thematic Grid Predictor for Pre-parsed Natural Language Sentences

9 years 7 months ago
A Connectionist Thematic Grid Predictor for Pre-parsed Natural Language Sentences
Abstract. Inspired on psycholinguistics and neuroscience, a symbolicconnectionist hybrid system called θ-Pred (Thematic Predictor for natural language) is proposed, designed to reveal the thematic grid assigned to a sentence. Through a symbolic module, which includes anaphor resolution and relative clause processing, a parsing of the input sentence is performed, generating logical formulae based on events and thematic roles for Portuguese language sentences. Previously, a morphological analysis is carried out. The parsing displays, for grammatical sentences, the existing readings and their thematic grids. In order to disambiguate among possible interpretations, there is a connectionist module, comprising, as input, a featural representation of the words (based on verb/noun WordNet classification and on classical semantic microfeature representation), and, as output, the thematic grid assigned to the sentence. θPred employs biologically inspired training algorithm and architecture, a...
João Luís Garcia Rosa
Added 08 Jun 2010
Updated 08 Jun 2010
Type Conference
Year 2007
Where ISNN
Authors João Luís Garcia Rosa
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