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IJCAI
2003
13 years 9 months ago
Statistics Gathering for Learning from Distributed, Heterogeneous and Autonomous Data Sources
With the growing use of distributed information networks, there is an increasing need for algorithmic and system solutions for data-driven knowledge acquisition using distributed,...
Doina Caragea, Jaime Reinoso, Adrian Silvescu, Vas...
LREC
2010
237views Education» more  LREC 2010»
13 years 9 months ago
Flexible Ontology Population from Text: The OwlExporter
Ontology population from text is becoming increasingly important for NLP applications. Ontologies in OWL format provide for a standardized means of modeling, querying, and reasoni...
René Witte, Ninus Khamis, Juergen Rilling
CIKM
2007
Springer
14 years 1 months ago
Structure and semantics for expressive text kernels
Several problems in text categorization are too hard to be solved by standard bag-of-words representations. Work in kernel-based learning has approached this problem by (i) consid...
Stephan Bloehdorn, Alessandro Moschitti
CIVR
2009
Springer
146views Image Analysis» more  CIVR 2009»
14 years 2 months ago
Web news categorization using a cross-media document graph
In this paper we propose a multimedia categorization framework that is able to exploit information across different parts of a multimedia document (e.g., a Web page, a PDF, a Micr...
José Iria, Fabio Ciravegna, João Mag...
WEBI
2007
Springer
14 years 1 months ago
K-SVMeans: A Hybrid Clustering Algorithm for Multi-Type Interrelated Datasets
Identification of distinct clusters of documents in text collections has traditionally been addressed by making the assumption that the data instances can only be represented by ...
Levent Bolelli, Seyda Ertekin, Ding Zhou, C. Lee G...