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» SVM Based Learning System for Information Extraction
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142
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SIGIR
2011
ACM
14 years 7 months ago
Social context summarization
We study a novel problem of social context summarization for Web documents. Traditional summarization research has focused on extracting informative sentences from standard docume...
Zi Yang, Keke Cai, Jie Tang, Li Zhang, Zhong Su, J...
141
Voted
CIKM
2004
Springer
15 years 10 months ago
Hierarchical document categorization with support vector machines
Automatically categorizing documents into pre-defined topic hierarchies or taxonomies is a crucial step in knowledge and content management. Standard machine learning techniques ...
Lijuan Cai, Thomas Hofmann
COLING
2010
14 years 11 months ago
A Study on Position Information in Document Summarization
Position information has been proved to be very effective in document summarization, especially in generic summarization. Existing approaches mostly consider the information of se...
Ouyang You, Wenjie Li, Qin Lu, Renxian Zhang
ACL
2010
15 years 2 months ago
Learning Arguments and Supertypes of Semantic Relations Using Recursive Patterns
A challenging problem in open information extraction and text mining is the learning of the selectional restrictions of semantic relations. We propose a minimally supervised boots...
Zornitsa Kozareva, Eduard H. Hovy
MMS
2008
15 years 4 months ago
Semantic interactive image retrieval combining visual and conceptual content description
We address the challenge of semantic gap reduction for image retrieval through an improved SVM-based active relevance feedback framework, together with a hybrid visual and concept...
Marin Ferecatu, Nozha Boujemaa, Michel Crucianu