Sciweavers

133 search results - page 1 / 27
» Learning to Merge Word Senses
Sort
View
EMNLP
2007
13 years 6 months ago
Learning to Merge Word Senses
It has been widely observed that different NLP applications require different sense granularities in order to best exploit word sense distinctions, and that for many applications ...
Rion Snow, Sushant Prakash, Daniel Jurafsky, Andre...
NAACL
2010
13 years 2 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
LREC
2008
94views Education» more  LREC 2008»
13 years 6 months ago
Merging a Syntactic Resource with a WordNet: a Feasibility Study of a Merge between STO and DanNet
This paper presents a feasibility study of a merge between SprogTeknologisk Ordbase (STO), which contains morphological and syntactic information, and DanNet, which is a Danish Wo...
Bolette Sandford Pedersen, Anna Braasch, Lina Henr...
CORR
2004
Springer
125views Education» more  CORR 2004»
13 years 4 months ago
Word Sense Disambiguation by Web Mining for Word Co-occurrence Probabilities
This paper describes the National Research Council (NRC) Word Sense Disambiguation (WSD) system, as applied to the English Lexical Sample (ELS) task in Senseval-3. The NRC system ...
Peter D. Turney
ACL
2010
13 years 2 months ago
It Makes Sense: A Wide-Coverage Word Sense Disambiguation System for Free Text
Word sense disambiguation (WSD) systems based on supervised learning achieved the best performance in SensEval and SemEval workshops. However, there are few publicly available ope...
Zhi Zhong, Hwee Tou Ng