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A Baseline Methodology for Word Sense Disambiguation
2002This paper describes a methodology for supervised word sense disambiguation that relies on standard machine learning algorithms to induce classifiers from sense-tagged training examples where the context in which ambiguous words occur are represented by simple lexical features. This constitutes a baseline approach since it produces classifiers based on
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An unsupervised method for word sense disambiguation
Journal of King Saud University - Computer and Information Sciences, 2022Nazreena Rahman, Bhogeswar Borah
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Word Sense Disambiguation: A comprehensive knowledge exploitation framework
Knowledge-Based Systems, 2020Hamido Fujita, Yinglin Wang
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A Sense Annotated Corpus for All-Words Urdu Word Sense Disambiguation
ACM Transactions on Asian and Low-Resource Language Information Processing, 2019Paul Edward Rayson +2 more
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Word sense disambiguation: A complex network approach
Information Sciences, 2018Diego Raphael Amancio +1 more
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D-Bees: A novel method inspired by bee colony optimization for solving word sense disambiguation
Swarm and Evolutionary Computation, 2016Sallam Abualhaija, Karl-Heinz Zimmermann
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A comparison of Named-Entity Disambiguation and Word Sense Disambiguation
Proceedings of the Language Resources and Evaluation Conference, 2016Angel X. Chang +3 more
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