Combining Statistics and Semantics for Word and Document Clustering

Combining Statistics and Semantics for Word and Document Clustering (2001)

by Alexandre Termier , Re Termier , Michèle Sebag , Marie-christine Rousset , Michèle Sebag Ý

Venue:	In Ontology Learning Workshop, IJCAI’01
Citations:	2 - 1 self

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Datum	Value	Source
TITLE	Combining Statistics and Semantics for Word and Document Clustering	user correction - Legacy Corrections
AUTHOR NAME	Alexandre Termier	user correction - Legacy Corrections
AUTHOR NAME	Re Termier	user correction - Legacy Corrections
AUTHOR NAME	Michèle Sebag	user correction - Legacy Corrections
AUTHOR NAME	Marie-christine Rousset	user correction - Legacy Corrections
AUTHOR NAME	Michèle Sebag Ý	user correction - Legacy Corrections
ABSTRACT	A new approach for constructing pseudo-keywords, referred to as Sense Units, is proposed. Sense Units are obtained by a word clustering process, where the underlying similarity reflects both statistical and semantic properties, respectively detected through Latent Semantic Analysis and WordNet.	user correction - Legacy Corrections
YEAR	2001	INFERENCE
VENUE	In Ontology Learning Workshop, IJCAI’01	INFERENCE
VENUE TYPE	CONFERENCE	INFERENCE
PAGES	49--54	INFERENCE
CITATIONS	19 found	ParsCit 1.0