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» Bayesian Word Sense Induction
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EACL
2006
ACL Anthology
13 years 6 months ago
Word Sense Induction: Triplet-Based Clustering and Automatic Evaluation
In this paper a novel solution to automatic and unsupervised word sense induction (WSI) is introduced. It represents an instantiation of the `one sense per collocation' obser...
Stefan Bordag
ACL
2009
13 years 2 months ago
Detecting Compositionality in Multi-Word Expressions
Identifying whether a multi-word expression (MWE) is compositional or not is important for numerous NLP applications. Sense induction can partition the context of MWEs into semant...
Ioannis Korkontzelos, Suresh Manandhar
EMNLP
2010
13 years 2 months ago
Word Sense Induction Disambiguation Using Hierarchical Random Graphs
Graph-based methods have gained attention in many areas of Natural Language Processing (NLP) including Word Sense Disambiguation (WSD), text summarization, keyword extraction and ...
Ioannis P. Klapaftis, Suresh Manandhar
ECAI
2008
Springer
13 years 6 months ago
Word Sense Induction Using Graphs of Collocations
Word Sense Induction (WSI) is the task of identifying the different senses (uses) of a target word in a given text. Traditional graph-based approaches create and then cluster a gra...
Ioannis P. Klapaftis, Suresh Manandhar
NAACL
2010
13 years 2 months ago
Taxonomy Learning Using Word Sense Induction
Taxonomies are an important resource for a variety of Natural Language Processing (NLP) applications. Despite this, the current stateof-the-art methods in taxonomy learning have d...
Ioannis P. Klapaftis, Suresh Manandhar