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» Locating Complex Named Entities in Web Text
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SIGIR
2009
ACM
14 years 2 months ago
Web-derived resources for web information retrieval: from conceptual hierarchies to attribute hierarchies
A weakly-supervised extraction method identifies concepts within conceptual hierarchies, at the appropriate level of specificity (e.g., Bank vs. Institution), to which attribute...
Marius Pasca, Enrique Alfonseca
SIGMOD
1998
ACM
180views Database» more  SIGMOD 1998»
13 years 11 months ago
Integration of Heterogeneous Databases Without Common Domains Using Queries Based on Textual Similarity
Most databases contain “name constants” like course numbers, personal names, and place names that correspond to entities in the real world. Previous work in integration of het...
William W. Cohen
PVLDB
2010
125views more  PVLDB 2010»
13 years 6 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...
BMCBI
2007
217views more  BMCBI 2007»
13 years 7 months ago
OntologyWidget - a reusable, embeddable widget for easily locating ontology terms
Background: Biomedical ontologies are being widely used to annotate biological data in a computer-accessible, consistent and well-defined manner. However, due to their size and co...
Catherine Beauheim, Farrell Wymore, Michael Nitzbe...
EACL
2006
ACL Anthology
13 years 9 months ago
Weakly Supervised Approaches for Ontology Population
We present a weakly supervised approach to automatic Ontology Population from text and compare it with other two unsupervised approaches. In our experiments we populate a part of ...
Hristo Tanev, Bernardo Magnini