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» Using Text Classifiers for Numerical Classification
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EMNLP
2009
14 years 11 months ago
Detecting Speculations and their Scopes in Scientific Text
Distinguishing speculative statements from factual ones is important for most biomedical text mining applications. We introduce an approach which is based on solving two sub-probl...
Arzucan Özgür, Dragomir R. Radev
CVPR
2009
IEEE
16 years 9 months ago
Who are you? Learning person specific classifiers from video
We investigate the problem of automatically labelling faces of characters in TV or movie material with their names, using only weak supervision from automaticallyaligned subtitl...
Josef Sivic (INRIA & Ecole Normale Superieure...
105
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PODC
2010
ACM
15 years 3 months ago
Distributed data classification in sensor networks
Low overhead analysis of large distributed data sets is necessary for current data centers and for future sensor networks. In such systems, each node holds some data value, e.g., ...
Ittay Eyal, Idit Keidar, Raphael Rom
JIIS
2002
168views more  JIIS 2002»
15 years 1 months ago
Hidden Markov Models for Text Categorization in Multi-Page Documents
In the traditional setting, text categorization is formulated as a concept learning problem where each instance is a single isolated document. However, this perspective is not appr...
Paolo Frasconi, Giovanni Soda, Alessandro Vullo
BMCBI
2006
153views more  BMCBI 2006»
15 years 1 months ago
Automatic document classification of biological literature
Background: Document classification is a wide-spread problem with many applications, from organizing search engine snippets to spam filtering. We previously described Textpresso, ...
David Chen, Hans-Michael Müller, Paul W. Ster...