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» Using Wikipedia for Automatic Word Sense Disambiguation
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NLDB
2007
Springer
15 years 3 months ago
Four Methods for Supervised Word Sense Disambiguation
Word sense disambiguation is the task to identify the intended meaning of an ambiguous word in a certain context, one of the central problems in natural language processing. This p...
Kinga Schumacher
84
Voted
COLING
2002
14 years 9 months ago
Word Sense Disambiguation using Static and Dynamic Sense Vectors
It is popular in WSD to use contextual information in training sense tagged data. Co-occurring words within a limited window-sized context support one sense among the semantically...
Jong-Hoon Oh, Key-Sun Choi
JAIR
2008
118views more  JAIR 2008»
14 years 9 months ago
On the Use of Automatically Acquired Examples for All-Nouns Word Sense Disambiguation
This article focuses on Word Sense Disambiguation (WSD), which is a Natural Language Processing task that is thought to be important for many Language Technology applications, suc...
David Martínez, Oier Lopez de Lacalle, Enek...
EMNLP
2009
14 years 7 months ago
Subjectivity Word Sense Disambiguation
This paper investigates a new task, subjectivity word sense disambiguation (SWSD), which is to automatically determine which word instances in a corpus are being used with subject...
Cem Akkaya, Janyce Wiebe, Rada Mihalcea
88
Voted
COLING
1990
14 years 10 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