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» Using Document Dimensions for Enhanced Information Retrieval
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ICPR
2008
IEEE
16 years 5 months ago
Combining content and structure similarity for XML document classification using composite SVM kernels
Combination of structure and content features is necessary for effective retrieval and classification of XML documents. Composite kernels provide a way for fusion of content and s...
Pabitra Mitra, Saptarshi Ghosh
HT
2003
ACM
15 years 9 months ago
Storm: using P2P to make the desktop part of the web
We present Storm, a storage system which unifies the desktop and the public network, making Web links between desktop documents more practical. Storm assigns each document a perm...
Benja Fallenstein, Tuomas J. Lukka, Hermanni Hyyti...
145
Voted
IPM
2007
118views more  IPM 2007»
15 years 4 months ago
Cluster-based patent retrieval
Through the recent NTCIR workshops, patent retrieval casts many challenging issues to information retrieval community. Unlike newspaper articles, patent documents are very long an...
In-Su Kang, Seung-Hoon Na, Jungi Kim, Jong-Hyeok L...
139
Voted
SIGIR
2000
ACM
15 years 8 months ago
Building a question answering test collection
The TREC-8 Question Answering (QA) Track was the first large-scale evaluation of domain-independent question answering systems. In addition to fostering research on the QA task, ...
Ellen M. Voorhees, Dawn M. Tice
IJBRA
2007
116views more  IJBRA 2007»
15 years 4 months ago
Biomedical ontology improves biomedical literature clustering performance: a comparison study
: Document clustering has been used for better document retrieval and text mining. In this paper, we investigate if a biomedical ontology improves biomedical literature clustering ...
Illhoi Yoo, Xiaohua Hu, Il-Yeol Song