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» Large-scale extraction and use of knowledge from text
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ICMLC
2010
Springer
14 years 11 months ago
A comparative study on two large-scale hierarchical text classification tasks' solutions
: Patent classification is a large scale hierarchical text classification (LSHTC) task. Though comprehensive comparisons, either learning algorithms or feature selection strategies...
Jian Zhang, Hai Zhao, Bao-Liang Lu
WWW
2006
ACM
16 years 2 months ago
Logical structure based semantic relationship extraction from semi-structured documents
Addressed in this paper is the issue of semantic relationship extraction from semi-structured documents. Many research efforts have been made so far on the semantic information ex...
Kuo Zhang, Gang Wu, Juan-Zi Li
BMCBI
2002
137views more  BMCBI 2002»
15 years 1 months ago
ORFer - retrieval of protein sequences and open reading frames from GenBank and storage into relational databases or text files
Background: Functional genomics involves the parallel experimentation with large sets of proteins. This requires management of large sets of open reading frames as a prerequisite ...
Konrad Büssow, Steve Hoffmann, Volker Sievert
SEMWEB
2009
Springer
15 years 8 months ago
Populating the Semantic Web by Macro-reading Internet Text
A key question regarding the future of the semantic web is “how will we acquire structured information to populate the semantic web on a vast scale?” One approach is to enter t...
Tom M. Mitchell, Justin Betteridge, Andrew Carlson...
ICDE
2010
IEEE
200views Database» more  ICDE 2010»
15 years 8 months ago
GenerIE: Information extraction using database queries
— Information extraction systems are traditionally implemented as a pipeline of special-purpose processing modules. A major drawback of such an approach is that whenever a new ex...
Luis Tari, Phan Huy Tu, Jörg Hakenberg, Yi Ch...