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Issue title: Intelligent and Fuzzy Systems applied to Language & Knowledge Engineering
Guest editors: David Pinto, Vivek Kumar Singh, Aline Villavicencio, Philipp Mayr-Schlegel and Efstathios Stamatatos
Article type: Research Article
Authors: Sánchez, Belém Priegoa; * | Pinto, Davidb | Singh, Vivek Kumarc
Affiliations: [a] Department of Systems, Universidad Autónoma Metropolitana, Unidad Azcapotzalco, Mexico | [b] Faculty of Computer Science, Benemérita Universidad Autónoma de Puebla, PUE, Mexico | [c] Department of Computer Science, Banaras Hindu University, Varanasi, India
Correspondence: [*] Corresponding author. Belém Priego Sánchez, Department of Systems, Universidad Autónoma Metropolitana, Unidad Azcapotzalco, Av. San Pablo 180, Col. Reynosa-Tamaulipas, Del. Azcapotzalco, C.P. 02200, Mexico. E-mail: belemps@gmail.com.
Abstract: A Verbal Phraseological Unit (VPU) is a phrase or expression that has either a literal or figurative (non-compositional) meaning. Identifying, in an automatic manner, which meaning is associated to a VPU in a certain context is an open problem in natural language processing, whose solution impacts in various real life applications. In this paper we present a method for the automatic verification of non-compositionality of a VPU based on the use of lexical domains. The methodology proposed is based in the degree of overlapping between the VPU domain and its context domain. This methdology is general in the sense that it opens the opportunity of applying different overlapping metrics, and different methods for calculating the domain of a given phrase. The experiments carried out show that this novel approach can be efficiently applied in high volumes of data with competitive results close to 65%.
Keywords: Idiom, disambiguation, lexical domain
DOI: 10.3233/JIFS-169490
Journal: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 5, pp. 3059-3067, 2018
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