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Joint Training for Open-domain Extraction on the Web: Exploiting Overlap when Supervision is Limited
Rahul Gupta
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Oznake: computer science;web mining
We consider the problem of jointly training structured models for extraction from multiple web sources whose records enjoy partial content overlap. This has important applications in open-domain extraction, e.g. a user materializing a table of interest from multiple relevant unstructured sources; or ...
Leto: 2011 Vir: videolectures.net
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