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… (More)
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Topic mentions per year

Topic mentions per year

1992-2018
0102019922018

Papers overview

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2013
2013
We introduce an extended naive Bayes model for word sense induction (WSI) and apply it to a WSI task. The extended model… (More)
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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… (More)
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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… (More)
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2011
2011
In this paper, we present a unified model for the automatic induction of word senses from text, and the subsequent disambiguation… (More)
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2011
2011
Word Sense Induction (WSI) is an unsupervised approach for learning the multiple senses of a word. Graph-based approaches to WSI… (More)
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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… (More)
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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… (More)
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2008
2008
Word Sense Induction (WSI) is the task of identifying the different senses (uses) of a target word in a given text. Traditional… (More)
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Highly Cited
2007
Highly Cited
2007
Word Sense Disambiguation (WSD) is a key enabling-technology. Supervised WSD techniques are the best performing in public… (More)
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2006
2006
In this paper a novel solution to automatic and unsupervised word sense induction (WSI) is introduced. It represents an… (More)
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