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» Detecting Co-Derivative Documents in Large Text Collections
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IKE
2004
15 years 28 days ago
Analyzing Large Collections of Email
One of the first applications of the Internet was the electronic mailing (e-mail). Along with the evolution of the Internet, e-mail has evolved into a powerful and popular technolo...
Daniel A. Keim, Christian Panse, Jörn Schneid...
ECAI
2000
Springer
15 years 3 months ago
Enriching very large ontologies using the WWW
This paper explores the possibility to exploit text on the world wide web in order to enrich the concepts in existing ontologies. First, a method to retrieve documents from the WWW...
Eneko Agirre, Olatz Ansa, Eduard H. Hovy, David Ma...
LREC
2010
160views Education» more  LREC 2010»
15 years 1 months ago
Corpus and Evaluation Measures for Automatic Plagiarism Detection
The simple access to texts on digital libraries and the WWW has led to an increased number of plagiarism cases in recent years, which renders manual plagiarism detection infeasibl...
Alberto Barrón-Cedeño, Martin Pottha...
KDD
2007
ACM
136views Data Mining» more  KDD 2007»
15 years 12 months ago
Information genealogy: uncovering the flow of ideas in non-hyperlinked document databases
We now have incrementally-grown databases of text documents ranging back for over a decade in areas ranging from personal email, to news-articles and conference proceedings. While...
Benyah Shaparenko, Thorsten Joachims
PKDD
1998
Springer
273views Data Mining» more  PKDD 1998»
15 years 3 months ago
TextVis: An Integrated Visual Environment for Text Mining
TextVis is a visual data mining system for document collections. Such a collection represents an application domain, and the primary goal of the system is to derive patterns that p...
David Landau, Ronen Feldman, Yonatan Aumann, Moshe...