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» Taxonomy Learning Using Word Sense Induction
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ACL
2006
13 years 6 months ago
Semantic Taxonomy Induction from Heterogenous Evidence
We propose a novel algorithm for inducing semantic taxonomies. Previous algorithms for taxonomy induction have typically focused on independent classifiers for discovering new sin...
Rion Snow, Daniel Jurafsky, Andrew Y. Ng
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
EWCBR
2004
Springer
13 years 10 months ago
Learning Feature Taxonomies for Case Indexing
Taxonomic case retrieval systems significantly outperform standard conversational case retrieval systems. However, their feature taxonomies, which are the principal reason for thei...
Kalyan Moy Gupta, David W. Aha, Philip G. Moore
COLING
2002
13 years 4 months ago
Taxonomy Learning - Factoring the Structure of a Taxonomy into a Semantic Classification Decision
The paper examines different possibilities to take advantage of the taxonomic organization of a thesaurus to improve the accuracy of classifying new words into its classes. The re...
Viktor Pekar, Steffen Staab