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Word Sense Disambiguation for Assamese
2016 IEEE 6th International Conference on Advanced Computing (IACC), 2016Word Sense Disambiguation (WSD) is the process ofidentifying the proper sense of an ambiguous word depending onthe particular context. It is to find the accurate sense si among theset of senses {s1, s2, , sn}. This task was motivated by itsinterpretation in various Natural Language Processing (NLP) applications like IR, MT, QA, TC, SP etc.
Shikhar Kr. Sarma, Jumi Sarmah
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Sense Space for Word Sense Disambiguation
2018 IEEE International Conference on Big Data and Smart Computing (BigComp), 2018Word sense disambiguation is essential for semantic analysis in many natural language-related applications, such as information retrieval, data mining, and machine translation. One of the effective models for word sense disambiguation is the word space model that represents context vectors and sense vectors in a word vector space.
Myung Yun Kang +2 more
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Word Sense Disambiguation [PDF]
, 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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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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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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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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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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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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Word Sense Induction and Disambiguation [PDF]
, 2011 Major difficulties in language processing are caused by the fact that many words are ambiguous, i.e. they have different meanings in different contexts, but are written (or pronounced) in the same way. While syntactic ambiguities have already been addressed in the previous chapter, now the focus is set on the semantic dimension of this problem. In this
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