BUAP: a first approximation to relational similarity measuring

Authors:
Mireya Tovar;J. Alejandro Reyes;Azucena Montes;Darnes Vilariño;David Pinto;Saul León
Affiliations:
CENIDET, Int. Internado Palmira S/N, Col. Palmira Cuernavaca, Morelos, México;CENIDET, Int. Internado Palmira S/N, Col. Palmira Cuernavaca, Morelos, México;CENIDET, Int. Internado Palmira S/N, Col. Palmira Cuernavaca, Morelos, México;B. Universidad Autónoma de Puebla, CU Puebla, Puebla, México;B. Universidad Autónoma de Puebla, CU Puebla, Puebla, México;B. Universidad Autónoma de Puebla, CU Puebla, Puebla, México
Venue:
SemEval '12 Proceedings of the First Joint Conference on Lexical and Computational Semantics - Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation
Year:
2012

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Abstract

We describe a system proposed for measuring the degree of relational similarity beetwen a pair of words at the Task #2 of Semeval 2012. The approach presented is based on a vectorial representation using the following features: i) the context surrounding the words with a windows size = 3, ii) knowledge extracted from WordNet to discover several semantic relationships, such as meronymy, hyponymy, hypernymy, and part-whole between pair of words, iii) the description of the pairs with their POS tag, morphological information (gender, person), and iv) the average number of words separating the two words in text.