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TSD
2004
Springer
15 years 11 months ago
How Dominant Is the Commonest Sense of a Word?
We present a mathematical model of word sense frequency distributions, and use word distributions to set parameters. The model implies that the expected dominance of the commonest ...
Adam Kilgarriff
NIPS
2008
15 years 7 months ago
Unsupervised Learning of Visual Sense Models for Polysemous Words
Polysemy is a problem for methods that exploit image search engines to build object category models. Existing unsupervised approaches do not take word sense into consideration. We...
Kate Saenko, Trevor Darrell
COLING
2008
15 years 7 months ago
From Words to Senses: A Case Study of Subjectivity Recognition
We determine the subjectivity of word senses. To avoid costly annotation, we evaluate how useful existing resources established in opinion mining are for this task. We show that r...
Fangzhong Su, Katja Markert
SEMCO
2007
IEEE
16 years 12 days ago
Clustering Using Feature Domain Similarity to Discover Word Senses for Adjectives
This paper presents a new clustering algorithm called DSCBC which is designed to automatically discover word senses for polysemous words. DSCBC is an extension of CBC Clustering [...
Noriko Tomuro, Steven L. Lytinen, Kyoko Kanzaki, H...
NAACL
2010
15 years 4 months ago
Taxonomy Learning Using Word Sense Induction
Taxonomies are an important resource for a variety of Natural Language Processing (NLP) applications. Despite this, the current stateof-the-art methods in taxonomy learning have d...
Ioannis P. Klapaftis, Suresh Manandhar