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» Automatic Word Sense Discrimination
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COLING
1996
13 years 8 months ago
Word Sense Disambiguation using Conceptual Density
This paper presents a method for the resolution of lexical ambiguity of nouns and its automatic evaluation over the Brown Corpus. The method relies on the use of the wide-coverage...
Eneko Agirre, German Rigau
COLING
1990
13 years 8 months ago
Word Sense Disambiguation with Very Large Neural Networks Extracted from Machine Readable Dictionaries
In this paper, we describe a means for automatically building very large neural networks (VLNNs) from definition texts in machine-readable dictionaries, and demonstrate the use of...
Jean Véronis, Nancy Ide
ACL
2008
13 years 9 months ago
Choosing Sense Distinctions for WSD: Psycholinguistic Evidence
Supervised word sense disambiguation requires training corpora that have been tagged with word senses, which begs the question of which word senses to tag with. The default choice...
Susan Windisch Brown
ACL
2004
13 years 9 months ago
Finding Predominant Word Senses in Untagged Text
In word sense disambiguation (WSD), the heuristic of choosing the most common sense is extremely powerful because the distribution of the senses of a word is often skewed. The pro...
Diana McCarthy, Rob Koeling, Julie Weeds, John A. ...
NAACL
2010
13 years 5 months ago
Extracting Glosses to Disambiguate Word Senses
Like most natural language disambiguation tasks, word sense disambiguation (WSD) requires world knowledge for accurate predictions. Several proxies for this knowledge have been in...
Weisi Duan, Alexander Yates