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» Semantic Taxonomy Induction from Heterogenous Evidence
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ACL
2006
13 years 5 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
LREC
2008
110views Education» more  LREC 2008»
13 years 5 months ago
Unsupervised and Domain Independent Ontology Learning: Combining Heterogeneous Sources of Evidence
Acquiring knowledge from the Web to build domain ontologies has become a common practice in the Ontological Engineering field. The vast amount of freely available information allo...
David Manzano-Macho, Asunción Gómez-...
WWW
2004
ACM
14 years 5 months ago
Web taxonomy integration using support vector machines
We address the problem of integrating objects from a source taxonomy into a master taxonomy. This problem is not only currently pervasive on the web, but also important to the eme...
Dell Zhang, Wee Sun Lee
ACL
2009
13 years 2 months ago
A Metric-based Framework for Automatic Taxonomy Induction
This paper presents a novel metric-based framework for the task of automatic taxonomy induction. The framework incrementally clusters terms based on ontology metric, a score indic...
Hui Yang, Jamie Callan
LREC
2008
140views Education» more  LREC 2008»
13 years 5 months ago
Acquiring a Taxonomy from the German Wikipedia
This paper presents the process of acquiring a large, domain independent, taxonomy from the German Wikipedia. We build upon a previously implemented platform that extracts a seman...
Laura Kassner, Vivi Nastase, Michael Strube