Results 71 to 80 of about 83,408 (318)
Improving Data Integration through Disambiguation Techniques [PDF]
, 2008 In this paper Word Sense Disambiguation (WSD) issue in the context of data integration is outlined and an Approximate Word Sense Disambiguation approach (AWSD) is proposed for the automatic lexical annotation of structured and semi-structured data ...
PO, Laura
core +2 more sources
Memory-based word sense disambiguation
Computers and the humanities, 1999 We describe a memory-based classification architecture for word sense disambiguation and its application to the SENSEVAL evaluation task. For each ambiguous word, a semantic word expert is automatically trained using a memory-based approach. In each expert, selecting the correct sense of a word in a new context is achieved by finding the closest match ...
Veenstra, J. +4 more
openaire +6 more sources
Biomedical Word Sense Disambiguation Based on Graph Attention Networks
IEEE Access, 2022 Biomedical words have many semantics. Biomedical word sense disambiguation (WSD) is an important research issue in biomedicine field. Biomedical WSD refers to the process of determining meanings of ambiguous word according to its context.
Chun-Xiang Zhang +2 more
doaj +1 more source
Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation [PDF]
Findings, 2020 The success of deep learning methods hinges on the availability of large training datasets annotated for the task of interest. In contrast to human intelligence, these methods lack versatility and struggle to learn and adapt quickly to new tasks, where ...
Nithin Holla +3 more
semanticscholar +1 more source
Incorporating Glosses into Neural Word Sense Disambiguation [PDF]
Annual Meeting of the Association for Computational Linguistics, 2018 Word Sense Disambiguation (WSD) aims to identify the correct meaning of polysemous words in the particular context. Lexical resources like WordNet which are proved to be of great help for WSD in the knowledge-based methods.
Fuli Luo +4 more
semanticscholar +1 more source
Chinese Word Sense Disambiguation using a LSTM
ITM Web of Conferences, 2017 Word sense disambiguation (WSD) is a challenging natural language processing (NLP) problem. We propose a new strategy for WSD, which at first replaces the interesting word in a sentence by the different synonyms corresponding to the different meanings ...
Sun Xue-Ren +3 more
doaj +1 more source
Reasons, attenuators, and virtue: A novel account of pragmatic encroachment
Analytic Philosophy, EarlyView., 2023 Abstract In this paper, I explicate pragmatic encroachment by appealing to pragmatic considerations attenuating, or weakening, epistemic reasons to believe. I call this the ‘Attenuators View’. I will show that this proposal is better than spelling out pragmatic encroachment in terms of reasons against believing – what I call the ‘Reasons View’.
Eva Schmidt
wiley +1 more source
Word vs. Class-Based Word Sense Disambiguation [PDF]
, 2015 As empirically demonstrated by the Word Sense Disambiguation (WSD) tasks of the last SensEval/SemEval exercises, assigning the appropriate meaning to words in context has resisted all attempts to be successfully addressed.
Izquierdo Beviá, Rubén +2 more
core +2 more sources
A word sense disambiguation corpus for Urdu [PDF]
Language Resources and Evaluation, 2018 The aim of word sense disambiguation (WSD) is to correctly identify the meaning of a word in context. All natural languages exhibit word sense ambiguities and these are often hard to resolve automatically. Consequently WSD is considered an important problem in natural language processing (NLP).
Saeed, A. +3 more
openaire +4 more sources
A review of word-sense disambiguation methods and algorithms: Introduction
Transactions of the Karelian Research Centre of the Russian Academy of Sciences, 2015 The word-sense disambiguation task is a classification task, where the goal is to predict the meaning of words and phrases with the help of surrounding text.
Tatiana Kaushinis +14 more
doaj +1 more source