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Domain kernels for word sense disambiguation

Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics - ACL '05, 2005
In this paper we present a supervised Word Sense Disambiguation methodology, that exploits kernel methods to model sense distinctions. In particular a combination of kernel functions is adopted to estimate independently both syntagmatic and domain similarity.
Alfio Massimiliano Gliozzo   +2 more
openaire   +1 more source

Kernel methods for word sense disambiguation

Artificial Intelligence Review, 2015
Many applications of natural language processing (NLP) need an accurate resolution of various ambiguities existing in natural language. The task of fulfilling this need is also called word sense disambiguation (WSD). WSD is to resolve the correct sense for an instance of a polysemous word.
Xiangjun Li   +4 more
openaire   +1 more source

Word Sense Disambiguation

1988
Computational lexical approaches to disambiguation divide into syntactic category assignment such as whether farm is a noun or a verb (Milne, 1986) and word sense disambiguation within syntactic category.9 The latter problem is the subject of this chapter.
openaire   +1 more source

Word Sense Disambiguation with Semantic Networks

2008
Word sense disambiguation (WSD) methods evolve towards exploring all of the available semantic information that word thesauri provide. In this scope, the use of semantic graphs and new measures of semantic relatedness may offer better WSD solutions. In this paper we propose a new measure of semantic relatedness between any pair of terms for the English
George Tsatsaronis 0001   +2 more
openaire   +1 more source

Word Sense Disambiguation of Czech Texts

1999
This contribution refers to the project of BYLL Software Ltd. that uses human aided WSD for the annotation of a fulltext database of the Czech law system named ASPI. We used about 3 mil. words of annotated texts from the law system of the Czech Republic since the 60's.
Ondrej Cikhart, Jan Hajic
openaire   +1 more source

Deep analysis of word sense disambiguation via semi-supervised learning and neural word representations

Information Sciences, 2021
Samuel Sousa   +2 more
exaly  

Word sense disambiguation based on context selection using knowledge-based word similarity

Information Processing and Management, 2021
Sunjae Kwon   +2 more
exaly  

Word Sense Disambiguation: A comprehensive knowledge exploitation framework

Knowledge-Based Systems, 2020
Yinglin Wang, Hamido Fujita
exaly  

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