Instance Sense Induction from Attribute Sets

This paper investigates the new problem of automatic sense induction for instance names using automatically extracted attribute sets. Several clustering strategies and data sources are described and evaluated. We also discuss the drawbacks of the evaluation metrics commonly used in similar clustering tasks. The results show improvements in most metrics with respect to the baselines, especially for polysemous instances.

• Type: Journal
• Year: 2010
• Where: COLING
• Authors: Ricardo Martin-Brualla, Enrique Alfonseca, Marius Pasca, Keith Hall, Enrique Robledo-Arnuncio, Massimiliano Ciaramita
• Keywords: Automatic Sense Induction, COLING 2010, Computational Linguistics, Several Clustering Strategies, Similar Clustering Tasks