Duluth: measuring degrees of relational similarity with the gloss vector measure of semantic relatedness

Authors:
Ted Pedersen
Affiliations:
University of Minnesota Duluth, MN
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

This paper describes the Duluth systems that participated in Task 2 of SemEval-2012. These systems were unsupervised and relied on variations of the Gloss Vector measure found in the freely available software package WordNet:: Similarity. This method was moderately successful for the Class-Inclusion, Similar, Contrast, and Non-Attribute categories of semantic relations, but mimicked a random baseline for the other six categories.