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Word Sense Disambiguation Based on Word Sense Clustering
2006In this paper we address the problem of Word Sense Disambiguation by introducing a knowledge-driven framework for the disambiguation of nouns. The proposal is based on the clustering of noun sense representations and it serves as a general model that includes some existing disambiguation methods.
Henry Anaya-Sánchez +2 more
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Practice of Word Sense Disambiguation
2018The paper aims at the community of researchers and practitioners that work in the area of natural language processing but do not specialize in the word sense disambiguation (WSD). It contains a brief introduction into WSD and describes the classical approaches to solve the problem.
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The Effect of Windowing in Word Sense Disambiguation
2005In this paper, the effect of different windowing schemes to the success rate of word sense disambiguation is probed. In these windowing schemes it is considered that the impact of a neighbor word to the correct sense of the target word should be somewhat related to it’s distance to the target word.
Ergin Altintas +2 more
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Word Sense Disambiguation with GermaNet
2015The subject of this dissertation is boosting research on word sense disambiguation (WSD) for German. WSD is a very active area of research in computational linguistics, but most of the work is focused on English. One of the factors that has hampered WSD research for other languages such as German is the lack of appropriate resources, particularly in ...
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An improved approach to word sense disambiguation
2014 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2014Words in the English language often correspond to different meanings in different contexts. Such words are referred to as polysemous words i.e. words having more than one sense. This paper presents a knowledge based algorithm for disambiguating polysemous words using computational linguistics tool, WordNet.
Pradeep Sachdeva +2 more
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Domain kernels for word sense disambiguation
Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics - ACL '05, 2005In 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
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Kernel methods for word sense disambiguation
Artificial Intelligence Review, 2015Many 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
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Word sense disambiguation of WordNet glosses
Computer Speech & Language, 2004This paper presents a suite of methods and results for the semantic disambiguation of WordNet glosses. WordNet is a resource widely used in natural language processing and artificial intelligence. Intended and designed as a lexical database, WordNet exhibits some deficiencies when used as a knowledge base.
Dan I. Moldovan, Adrian Novischi
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Word Sense Disambiguation with Semantic Networks
2008Word 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
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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.
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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.
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