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Word sense disambiguation [PDF]
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.
Roberto Navigli
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WIREs Data Mining Knowl. Discov., 2022
In communication, textual data are a vital attribute. In all languages, ambiguous or polysemous words' meaning changes depending on the context in which they are used.
S. Kaddoura, Rowanda D. Ahmed, J. D.
semanticscholar +1 more source
In communication, textual data are a vital attribute. In all languages, ambiguous or polysemous words' meaning changes depending on the context in which they are used.
S. Kaddoura, Rowanda D. Ahmed, J. D.
semanticscholar +1 more source
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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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.
Shikhar Kr. Sarma, Jumi Sarmah
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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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