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Linking content in unstructured sources

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Linking content in unstructured sources
This tutorial focuses on the task of automated information linking in text and multimedia sources. In any task where information is fused from different sources, this linking is a necessary step. To solve the problem we borrow methods from computational linguistics, computer vision and data mining. Although the main focus is on finding equivalence relations in the sources, the tutorial opens views on the recognition of other relation types. Categories and Subject Descriptors H.3.1 [Content Analysis and Indexing]: linguistic processing; I.2.7 [Natural Language Processing]: text analysis, machine translation; I.2.10 [Vision and Scene Understanding]: video analysis General Terms Algorithms, Experimentation Keywords Content alignment and linking
Marie-Francine Moens
Added 03 Jul 2010
Updated 03 Jul 2010
Type Conference
Year 2010
Where WWW
Authors Marie-Francine Moens
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