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» Named Entity Relation Mining using Wikipedia
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PVLDB
2010
125views more  PVLDB 2010»
13 years 7 months ago
Interesting-Phrase Mining for Ad-Hoc Text Analytics
Large text corpora with news, customer mail and reports, or Web 2.0 contributions offer a great potential for enhancing business-intelligence applications. We propose a framework ...
Srikanta J. Bedathur, Klaus Berberich, Jens Dittri...
LREC
2010
177views Education» more  LREC 2010»
13 years 10 months ago
Automatic Discovery of Semantic Relations using MindNet
Information extraction deals with extracting entities (such as people,organizations or locations) and named relations between entities (such as "People born-in Country")...
Zareen Syed, Evelyne Viegas, Savas Parastatidis
DGO
2007
192views Education» more  DGO 2007»
13 years 10 months ago
D-HOTM: distributed higher order text mining
We present D-HOTM, a framework for Distributed Higher Order Text Mining based on named entities extracted from textual data that are stored in distributed relational databases. Unl...
William M. Pottenger
PKDD
2009
Springer
170views Data Mining» more  PKDD 2009»
14 years 3 months ago
Statistical Relational Learning with Formal Ontologies
Abstract. We propose a learning approach for integrating formal knowledge into statistical inference by exploiting ontologies as a semantically rich and fully formal representation...
Achim Rettinger, Matthias Nickles, Volker Tresp
LREC
2008
120views Education» more  LREC 2008»
13 years 10 months ago
Exploiting the Role of Position Feature in Chinese Relation Extraction
Relation extraction is the task of finding pre-defined semantic relations between two entities or entity mentions from text. Many methods, such as feature-based and kernel-based m...
Peng Zhang, Wenjie Li, Furu Wei, Qin Lu, Yuexian H...