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» Using multiple ontologies in information extraction
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JCDL
2003
ACM
119views Education» more  JCDL 2003»
15 years 3 months ago
Genescene: Biomedical Text And Data Mining
To access the content of digital texts efficiently, it is necessary to provide more sophisticated access than keyword based searching. Genescene provides biomedical researchers wi...
Gondy Leroy, Hsinchun Chen, Jesse D. Martinez, Sha...
EWMF
2003
Springer
15 years 3 months ago
Mining Web Sites Using Wrapper Induction, Named Entities, and Post-processing
This paper presents a novel method for extracting information from collections of Web pages across different sites. Our method uses a standard wrapper induction algorithm and explo...
Georgios Sigletos, Georgios Paliouras, Constantine...
ESWS
2007
Springer
15 years 4 months ago
The Lixto Systems Applications in Business Intelligence and Semantic Web
: This paper shows how technologies for Web data extraction, syndication and integration allow for new applications and services in the Business Intelligence and the Semantic Web d...
Robert Baumgartner, Oliver Frölich, Georg Got...
CVPR
2004
IEEE
15 years 12 months ago
Is Bottom-Up Attention Useful for Object Recognition?
A key problem in learning multiple objects from unlabeled images is that it is a priori impossible to tell which part of the image corresponds to each individual object, and which...
Ueli Rutishauser, Dirk Walther, Christof Koch, Pie...
ACL
2010
14 years 8 months ago
Learning Arguments and Supertypes of Semantic Relations Using Recursive Patterns
A challenging problem in open information extraction and text mining is the learning of the selectional restrictions of semantic relations. We propose a minimally supervised boots...
Zornitsa Kozareva, Eduard H. Hovy