Radu Ion and Dan Tufiş. 2007. RACAI: Meaning Affinity Models. In Proceedings of the Fourth International Workshop on Semantic Evaluations (SemEval-2007), pages ...

This article introduces an unsupervised word sense disambiguation algorithm that is in- spired by the lexical attraction models of. Yuret (1998).

This article introduces an unsupervised word sense disambiguation algorithm that is in-spired by the lexical attraction models of Yuret (1998).

[Computational Linguistics] Computational linguistics is an interdisciplinary field concerned with the statistical or rule-based modeling of natural language ...

We propose a framework that integrates semantic information into the language model schema, allowing a system to exploit both syntactic and semantic information ...

This paper presents an approximated approach that combines not supervised algorithms by the use of a classifiers set, the result will be a learning algorithm ...

This article introduces an unsupervised word sense disambiguation algorithm that is inspired by the lexical attraction models of Yuret (1998).

This paper presents an approach to Word Sense Disambiguation based on clustering. The underlying idea is that the clustering of word senses provides a useful ...

This paper presents a probabilistic model for sense disambiguation which chooses the best sense based on the conditional probability of sense paraphrases ...

This paper presents an unsupervised word sense disambiguation (WSD) algorithm that makes use of lexical chains concept [6] to quantify the degree of ...