Why Table Ground-Truthing is Hard
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Review on Computational Trust and Reputation Models
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Representing and sharing folksonomies with semantics
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A framework for the assessment of text extraction algorithms on complex colour images
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
An analysis of binarization ground truthing
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
Document analysis issues in reading optical scan ballots
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
A platform for storing, visualizing, and interpreting collections of noisy documents
AND '10 Proceedings of the fourth workshop on Analytics for noisy unstructured text data
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International Journal of Information Management: The Journal for Information Professionals
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Despite tremendous advances in computer software and hardware, certain key aspects of experimental research in document analysis, and pattern recognition in general, have not changed much over the past 50 years. This paper describes a vision of the future where community-created and managed resources make possible fundamental changes in the way science is conducted in such fields. We also discuss current developments that are helping to lead us in this direction.