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Deep ensemble learning with transformer models for enhanced Alzheimer's disease detection. [PDF]
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Enhancing cybersecurity through autonomous knowledge graph construction by integrating heterogeneous data sources. [PDF]
Alharbi H, Hur A, Alkahtani H, Ahmad HF.
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Word sense disambiguation [PDF]
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 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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