@article{FernandezAmoros20119506,
title = "Understanding the role of conceptual relations in Word Sense Disambiguation",
journal = "Expert Systems with Applications",
volume = "38",
number = "8",
pages = "9506 - 9516",
year = "2011",
note = "",
issn = "0957-4174",
doi = "10.1016/j.eswa.2011.01.150",
url = "http://www.sciencedirect.com/science/article/pii/S0957417411001837",
author = "David Fernandez-Amoros and Ruben Heradio",
keywords = "Natural language processing",
keywords = "Computational linguistics",
keywords = "Word Sense Disambiguation",
abstract = "In this article, we concentrate in conceptual relations as a source of information for Word Sense Disambiguation (WSD) systems. We start with a review the most relevant research in the field, then we implement our own algorithm. As a starting point we have chosen the conceptual density algorithm of Agirre and Rigau. We generalize the original algorithm, parameterizing many aspects. This new algorithm obtains a relative improvement of 24% in terms of precision and recall. We also offer comparative evaluation of our system with respect to the participants in the SENSEVAL-2 disambiguation competition.

We conclude that conceptual relations provide a source of information that is insufficient by itself to achieve good disambiguation results, but can, however, be a very accurate heuristic in a combined system."
}