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» Document Retrieval using a Probabilistic Knowledge Model
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CIKM
2009
Springer
15 years 4 months ago
Adaptive relevance feedback in information retrieval
Relevance Feedback has proven very effective for improving retrieval accuracy. A difficult yet important problem in all relevance feedback methods is how to optimally balance the...
Yuanhua Lv, ChengXiang Zhai
CLEF
2007
Springer
15 years 4 months ago
The Domain-Specific Track at CLEF 2007
The domain-specific track uses test collections from the social science domain to test monolingual and cross-language retrieval in structured bibliographic databases. Special atte...
Vivien Petras, Stefan Baerisch, Maximilian Stempfh...
DEXAW
2003
IEEE
136views Database» more  DEXAW 2003»
15 years 3 months ago
Ontology Based Semantic Similarity Comparison of Documents
In this work we consider ontologies as knowledge structures that specify terms, their properties and relations among them to enable knowledge extraction from texts. We represent o...
Vladimir A. Oleshchuk, Asle Pedersen
JCST
2000
124views more  JCST 2000»
14 years 9 months ago
Distributed and Cooperative Information Retrieval on the World Wide Web
: A mass of heterogeneous, distributed and dynamic information on the World Wide Web (the Web) has resulted in "information overload". It's an important and urgent r...
Jicheng Wang, Xiangyu Jin, Yang Xiaojiang, Fuyan Z...
ICASSP
2008
IEEE
15 years 4 months ago
Fine: Information embedding for document classification
The problem of document classification considers categorizing or grouping of various document types. Each document can be represented as a bag of words, which has no straightforw...
Kevin M. Carter, Raviv Raich, Alfred O. Hero