Building Sense Tagged Corpus Using Wikipedia for Supervised Word Sense Disambiguation

Word Sense Disambiguation Using Wikipedia

This paper describes explorations in word sense disambiguation using Wikipedia as a source of sense annotations. Through experiments on four different languages, we show that the Wikipedia-based sense annotations are reliable and can be used to construct accurate sense classifiers.

Using Wikipedia for Automatic Word Sense Disambiguation

This paper describes a method for generating sense-tagged data using Wikipedia as a source of sense annotations. Through word sense disambiguation experiments, we show that the Wikipedia-based sense annotations are reliable and can be used to construct accurate sense classifiers.

Semi-supervised Word Sense Disambiguation Using the Web as Corpus

As any other classification task, Word Sense Disambiguation requires a large number of training examples. These examples, which are easily obtained for most of the tasks, are particularly difficult to obtain for this case. Based on this fact, in this paper we investigate the possibility of using a Webbased approach for determining the correct sense of an ambiguous word based only in its surroun...

Multilingual Word Sense Disambiguation Using Wikipedia

We present three approaches to word sense disambiguation that use Wikipedia as a source of sense annotations. Starting from a basic monolingual approach, we develop two multilingual systems: one that uses a machine translation system to create multilingual features, and one where multilingual features are extracted primarily through the interlingual links available in Wikipedia. Experiments on ...

MULTILINGUAL WORD SENSE DISAMBIGUATION USING WIKIPEDIA Bharath