Sciweavers

Share
NLDB
2007
Springer

Four Methods for Supervised Word Sense Disambiguation

9 years 6 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 paper describes four novel supervised disambiguation methods which adapt some familiar algorithms. They built on the Vector Space Model using an automatically generated stop list and two
Kinga Schumacher
Added 08 Jun 2010
Updated 08 Jun 2010
Type Conference
Year 2007
Where NLDB
Authors Kinga Schumacher
Comments (0)
books