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» A kernel-based approach to document retrieval
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WWW
2008
ACM
15 years 10 months ago
Exploring social annotations for information retrieval
Social annotation has gained increasing popularity in many Web-based applications, leading to an emerging research area in text analysis and information retrieval. This paper is c...
Ding Zhou, Jiang Bian, Shuyi Zheng, Hongyuan Zha, ...
KDD
2010
ACM
272views Data Mining» more  KDD 2010»
14 years 8 months ago
Scalable similarity search with optimized kernel hashing
Scalable similarity search is the core of many large scale learning or data mining applications. Recently, many research results demonstrate that one promising approach is creatin...
Junfeng He, Wei Liu, Shih-Fu Chang
ESWS
2005
Springer
15 years 3 months ago
RELFIN - Topic Discovery for Ontology Enhancement and Annotation
While classic information retrieval methods return whole documents as a result of a query, many information demands would be better satisfied by fine-grain access inside the docu...
Markus Schaal, Roland M. Müller, Marko Brunze...
ACL
2006
14 years 11 months ago
Segment-Based Hidden Markov Models for Information Extraction
Hidden Markov models (HMMs) are powerful statistical models that have found successful applications in Information Extraction (IE). In current approaches to applying HMMs to IE, a...
Zhenmei Gu, Nick Cercone
DOCENG
2007
ACM
15 years 1 months ago
Elimination of junk document surrogate candidates through pattern recognition
A surrogate is an object that stands for a document and enables navigation to that document. Hypermedia is often represented with textual surrogates, even though studies have show...
Eunyee Koh, Daniel Caruso, Andruid Kerne, Ricardo ...