The representation of word meaning in texts is a central problem in Computational Linguistics. Geometrical models represent lexical semantic information in terms of the basic co-occurrences that words establish each other in large-scale text collections. As recent works already address, the definition of methods able to express the meaning of phrases or sentences as operations on lexical representations is a complex problem, and a still largely open issue. In this paper, a perspective centered on Convolution Kernels is discussed and the formulation of a Partial Tree Kernel that integrates syntactic information and lexical generalization is studied. The interaction of such information and the role of different geometrical models is investigated on the question classification task where the state-of-the-art result is achieved. © 2012 Springer-Verlag.

Croce, D., Filice, S., Basili, R. (2012). Distributional models and lexical semantics in convolution kernels. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp.336-348) [10.1007/978-3-642-28604-9_28].

Distributional models and lexical semantics in convolution kernels

CROCE, DANILO;BASILI, ROBERTO
2012

Abstract

The representation of word meaning in texts is a central problem in Computational Linguistics. Geometrical models represent lexical semantic information in terms of the basic co-occurrences that words establish each other in large-scale text collections. As recent works already address, the definition of methods able to express the meaning of phrases or sentences as operations on lexical representations is a complex problem, and a still largely open issue. In this paper, a perspective centered on Convolution Kernels is discussed and the formulation of a Partial Tree Kernel that integrates syntactic information and lexical generalization is studied. The interaction of such information and the role of different geometrical models is investigated on the question classification task where the state-of-the-art result is achieved. © 2012 Springer-Verlag.
13th Annual Conference on Intelligent Text Processing and Computational Linguistics, CICLing 2012
New Delhi, ind
2012
Rilevanza internazionale
Settore ING-INF/05 - Sistemi di Elaborazione delle Informazioni
Settore INF/01 - Informatica
English
Computer Science (all); Theoretical Computer Science
Intervento a convegno
Croce, D., Filice, S., Basili, R. (2012). Distributional models and lexical semantics in convolution kernels. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp.336-348) [10.1007/978-3-642-28604-9_28].
Croce, D; Filice, S; Basili, R
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/124210
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