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IJCAI
2003
15 years 1 months ago
Integrating Background Knowledge Into Text Classification
We present a description of three different algorithms that use background knowledge to improve text classifiers. One uses the background knowledge as an index into the set of tra...
Sarah Zelikovitz, Haym Hirsh
BMCBI
2008
139views more  BMCBI 2008»
14 years 11 months ago
New challenges for text mining: mapping between text and manually curated pathways
Background: Associating literature with pathways poses new challenges to the Text Mining (TM) community. There are three main challenges to this task: (1) the identification of th...
Kanae Oda, Jin-Dong Kim, Tomoko Ohta, Daisuke Okan...
EACL
2009
ACL Anthology
16 years 8 days ago
Deriving Generalized Knowledge from Corpora Using WordNet Abstraction
ion Benjamin Van Durme, Phillip Michalak and Lenhart K. Schubert Department of Computer Science University of Rochester Rochester, NY 14627, USA Existing work in the extraction of...
Benjamin Van Durme, Phillip Michalak, Lenhart Schu...
ESWA
2008
195views more  ESWA 2008»
14 years 11 months ago
Automatic expert identification using a text categorization technique in knowledge management systems
Since tacit knowledge such as know-how and experiences is hard to be managed effectively using information technology, it is recently proposed that providing an appropriate expert...
Kun-Woo Yang, Soon-Young Huh
KDD
2005
ACM
163views Data Mining» more  KDD 2005»
15 years 5 months ago
Web mining from competitors' websites
This paper presents a framework for user-oriented text mining. It is then illustrated with an example of discovering knowledge from competitors’ websites. The knowledge to be di...
Xin Chen, Yi-fang Brook Wu