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Word sense disambiguation for Turkish
2009 24th International Symposium on Computer and Information Sciences, 2009Word Sense Disambiguation (WSD) is the core and one of the hardest problems of many Natural Language Processing tasks. WSD is considered as an AI-complete problem. Although there are many approaches trying to solve this problem, many of them are not adequate to solve WSD problem for Turkish.
Mert, Ezgi, Dalkılıç, Gökhan
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ACM Computing Surveys, 2009
Word sense disambiguation (WSD) is the ability to identify the meaning of words in context in a computational manner. WSD is considered an AI-complete problem, that is, a task whose solution is at least as hard as the most difficult problems in artificial intelligence.
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Word sense disambiguation (WSD) is the ability to identify the meaning of words in context in a computational manner. WSD is considered an AI-complete problem, that is, a task whose solution is at least as hard as the most difficult problems in artificial intelligence.
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2018
Word sense disambiguation (WSD) is the process of identifying the meanings of words in context. The difficulty of this problem stems from the subtlety of word sense differences and the need for some level of understanding. This chapter describes the main approaches to the problem, methods for evaluating performance, and potential applications.
Eneko Agirre, Mark Stevenson
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Word sense disambiguation (WSD) is the process of identifying the meanings of words in context. The difficulty of this problem stems from the subtlety of word sense differences and the need for some level of understanding. This chapter describes the main approaches to the problem, methods for evaluating performance, and potential applications.
Eneko Agirre, Mark Stevenson
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Research on Word Sense Disambiguation
Advanced Materials Research, 2011At present, how to make the computer understand the text message of humanity automatically is a very important issue in computer information technology field. And the problem of word sense disambiguation is a bottleneck of the understanding of natural language.
Jing Wen Zhan, Yan Min Chen
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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.
Jumi Sarmah, Shikhar Kr. Sarma
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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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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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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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Word Sense Disambiguation in the Biomedical Domain: An Overview
Journal of Computational Biology, 2005There is a trend towards automatic analysis of large amounts of literature in the biomedical domain. However, this can be effective only if the ambiguity in natural language is resolved. In this paper, the current state of research in word sense disambiguation (WSD) is reviewed.
Schuemie, Martijn, Kors, Jan, Mons, B
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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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