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» Unsupervised Relation Extraction From Web Documents
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CIKM
2008
Springer
13 years 10 months ago
A system for finding biological entities that satisfy certain conditions from texts
Finding biological entities (such as genes or proteins) that satisfy certain conditions from texts is an important and challenging task in biomedical information retrieval and tex...
Wei Zhou, Clement T. Yu, Weiyi Meng
WWW
2010
ACM
14 years 3 months ago
Sampling high-quality clicks from noisy click data
Click data captures many users’ document preferences for a query and has been shown to help significantly improve search engine ranking. However, most click data is noisy and of...
Adish Singla, Ryen W. White
BXML
2003
13 years 9 months ago
Rule-Based Generation of XML Schemas from UML Class Diagrams
We present an approach of how to automatically extract an XML document structure from a conceptual data model that describes the content of the document. We use UML class diagrams ...
Tobias Krumbein, Thomas Kudrass
ACL
2010
13 years 6 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
IPM
2006
146views more  IPM 2006»
13 years 8 months ago
Dictionary-based text categorization of chemical web pages
A new dictionary-based text categorization approach is proposed to classify the chemical web pages efficiently. Using a chemistry dictionary, the approach can extract chemistry-re...
Chunyan Liang, Li Guo, Zhaojie Xia, Feng-Guang Nie...