论文信息 - Duluth : Measuring Degrees of Relational Similarity with the Gloss Vector Measure of Semantic Relatedness

Duluth : Measuring Degrees of Relational Similarity with the Gloss Vector Measure of Semantic Relatedness

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.

Ted Pedersen

[1] R. Chaffin,et al. Cognitive and Psychometric Analysis of Analogical Problem Solving , 1990 .

[2] Ted Pedersen,et al. Using WordNet-based Context Vectors to Estimate the Semantic Relatedness of Concepts , 2006 .

[3] Michael E. Lesk,et al. Automatic sense disambiguation using machine readable dictionaries: how to tell a pine cone from an ice cream cone , 1986, SIGDOC '86.

[4] Ted Pedersen,et al. Extended Gloss Overlaps as a Measure of Semantic Relatedness , 2003, IJCAI.

[5] Saif Mohammad,et al. SemEval-2012 Task 2: Measuring Degrees of Relational Similarity , 2012, *SEMEVAL.

[6] Richard A. Harshman,et al. Indexing by Latent Semantic Analysis , 1990, J. Am. Soc. Inf. Sci..

[7] Hinrich Schütze,et al. Automatic Word Sense Discrimination , 1998, Comput. Linguistics.

[8] Graeme Hirst,et al. Evaluating WordNet-based Measures of Lexical Semantic Relatedness , 2006, CL.

[9] Ted Pedersen,et al. WordNet::Similarity - Measuring the Relatedness of Concepts , 2004, NAACL.