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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.
Karsligil, Elif +2 more
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Corpus and Word Sense Disambiguation
2018Every natural language has a large set of words, which, when these are used in a piece of text, may vary in sense denotation. It has been noted that for ages that context, where these words are found to be used, can play an explicit and active role to influence the words to deviate from the original sense to generate new senses.
Niladri Sekhar Dash, L. Ramamoorthy
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Malayalam word sense disambiguation
2010 IEEE International Conference on Computational Intelligence and Computing Research, 2010This paper presents an outline of our work to develop a word sense disambiguation system in Malayalam. Word sense disambiguation (WSD) is a linguistically based mechanism for automatically defining the correct sense of a word in the context. WSD is a long standing problem in computational linguistics.
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Trends in word sense disambiguation
Artificial Intelligence Review, 2012The problem and process of identifying the meaning of a word as per its usage context is called word sense disambiguation (WSD). Although research in this field has been ongoing for the past forty years, a distinct change of techniques adopted can be observed over time.
R. V. Vidhu Bhala, S. Abirami
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The methods of word sense disambiguation
2011 International Conference on Electrical and Control Engineering, 2011This paper mainly makes a general description of word sense disambiguation from two aspects of resources and methods, and points out problems existing in the word sense disambiguation with and without guidance.
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Probabilistic word sense disambiguation
Computer Speech & Language, 2004We present a theoretically motivated method for creating probabilistic word sense disambiguation (WSD) systems. The method works by composing multiple probabilistic components: such modularity is made possible by an application of Bayesian statistics and Lidstone's smoothing method. We show that a probabilistic WSD system created along these lines is a
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Multiwords and Word Sense Disambiguation
2005This paper studies the impact of multiword expressions on Word Sense Disambiguation (WSD). Several identification strategies of the multiwords in WordNet2.0 are tested in a real Senseval-3 task: the disambiguation of WordNet glosses. Although we have focused on Word Sense Disambiguation, the same techniques could be applied in more complex tasks, such ...
Victoria Arranz +2 more
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Word Sense Disambiguation Based on Word Sense Clustering [PDF]
, 2006 In 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.
Aurora Pons-Porrata +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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Smoothing and Word Sense Disambiguation
2004This paper presents an algorithm to apply the smoothing techniques described in [15] to three different Machine Learning (ML) methods for Word Sense Disambiguation (WSD). The method to obtain better estimations for the features is explained step by step, and applied to n-way ambiguities.
Eneko Agirre, David Martinez
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