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Word-sense induction

Known as: Word Sense Induction, Word sense discrimination 
In computational linguistics, word-sense induction (WSI) or discrimination is an open problem of natural language processing, which concerns the… Expand
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Papers overview

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2015
2015
Supervised word sense disambiguation (WSD) systems are usually the best performing systems when evaluated on standard benchmarks… Expand
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2015
2015
Word sense induction (WSI) seeks to automatically discover the senses of a word in a corpus via unsupervised methods. We propose… Expand
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Highly Cited
2013
Highly Cited
2013
Most work on word sense disambiguation has assumed that word usages are best labeled with a single sense. However, contextual… Expand
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Highly Cited
2012
Highly Cited
2012
We apply topic modelling to automatically induce word senses of a target word, and demonstrate that our word sense induction… Expand
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Highly Cited
2012
Highly Cited
2012
Word Sense Disambiguation (WSD) and Word Sense Induction (WSI) are two fundamental tasks in Natural Language Processing (NLP), i… Expand
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2011
2011
We propose the use of a nonparametric Bayesian model, the Hierarchical Dirichlet Process (HDP), for the task of Word Sense… Expand
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Highly Cited
2010
Highly Cited
2010
This paper presents the description and evaluation framework of SemEval-2010 Word Sense Induction & Disambiguation task, as well… Expand
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Highly Cited
2009
Highly Cited
2009
Sense induction seeks to automatically identify word senses directly from a corpus. A key assumption underlying previous work is… Expand
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Highly Cited
2007
Highly Cited
2007
The goal of this task is to allow for comparison across sense-induction and discrimination systems, and also to compare these… Expand
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Highly Cited
1998
Highly Cited
1998
This paper presents context-group discrimination, a disambiguation algorithm based on clustering. Senses are interpreted as… Expand
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