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IPM
2007
106views more  IPM 2007»
14 years 9 months ago
Patent document categorization based on semantic structural information
The number of patent documents is currently rising rapidly worldwide, creating the need for an automatic categorization system to replace time-consuming and labor-intensive manual...
Jae-Ho Kim, Key-Sun Choi
MM
2005
ACM
171views Multimedia» more  MM 2005»
15 years 3 months ago
Semantic manifold learning for image retrieval
Learning the user’s semantics for CBIR involves two different sources of information: the similarity relations entailed by the content-based features, and the relevance relatio...
Yen-Yu Lin, Tyng-Luh Liu, Hwann-Tzong Chen
ENGL
2006
157views more  ENGL 2006»
14 years 10 months ago
Dealing with Acronyms in Biomedical Texts
Recently, there has been a growth in the amount of machine readable information pertaining to the biomedical field. With this growth comes a desire to be able to extract informati...
David B. Bracewell, Fuji Ren, Shingo Kuroiwa
LREC
2008
93views Education» more  LREC 2008»
14 years 11 months ago
Using a Probabilistic Model of Context to Detect Word Obfuscation
This paper proposes a distributional model of word use and word meaning which is derived purely from a body of text, and then applies this model to determine whether certain words...
Sanaz Jabbari, Ben Allison, Louise Guthrie
KDD
2009
ACM
243views Data Mining» more  KDD 2009»
15 years 10 months ago
Exploiting Wikipedia as external knowledge for document clustering
In traditional text clustering methods, documents are represented as "bags of words" without considering the semantic information of each document. For instance, if two ...
Xiaohua Hu, Xiaodan Zhang, Caimei Lu, E. K. Park, ...