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    ACL
    2008
    137views Computational Linguistics» more  ACL 2008»
    Semantic Class Learning from the Web with Hyponym Pattern Linkage Graphs
    13 years 9 months ago
    Semantic Class Learning from the Web with Hyponym Pattern Linkage Graphs
    Download  www.aclweb.org
    We present a novel approach to weakly supervised semantic class learning from the web, using a single powerful hyponym pattern combined with graph structures, which capture two pr...
    Zornitsa Kozareva, Ellen Riloff, Eduard H. Hovy
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    COMAD
    2008
    127views Knowledge Management» more  COMAD 2008»
    REBMEC: Repeat Based Maximum Entropy Classifier for Biological Sequences
    13 years 9 months ago
    REBMEC: Repeat Based Maximum Entropy Classifier for Biological Sequences
    Download  www.cse.iitb.ac.in
    An important problem in biological data analysis is to predict the family of a newly discovered sequence like a protein or DNA sequence, using the collection of available sequence...
    Pratibha Rani, Vikram Pudi
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    DGO
    2007
    192views Education» more  DGO 2007»
    D-HOTM: distributed higher order text mining
    13 years 9 months ago
    D-HOTM: distributed higher order text mining
    Download  www3.lehigh.edu
    We present D-HOTM, a framework for Distributed Higher Order Text Mining based on named entities extracted from textual data that are stored in distributed relational databases. Unl...
    William M. Pottenger
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    ICMLA
    2008
    147views Machine Learning» more  ICMLA 2008»
    Mapping Uncharted Waters: Exploratory Analysis, Visualization, and Clustering of Oceanographic Data
    13 years 9 months ago
    Mapping Uncharted Waters: Exploratory Analysis, Visualization, and Clustering of Oceanographic Data
    Download  cseweb.ucsd.edu
    In this paper we describe an interdisciplinary collaboration between researchers in machine learning and oceanography. The collaboration was formed to study the problem of open oc...
    Joshua M. Lewis, Pincelli M. Hull, Kilian Q. Weinb...
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    NIPS
    2008
    131views Information Technology» more  NIPS 2008»
    Unsupervised Learning of Visual Sense Models for Polysemous Words
    13 years 9 months ago
    Unsupervised Learning of Visual Sense Models for Polysemous Words
    Download  people.csail.mit.edu
    Polysemy is a problem for methods that exploit image search engines to build object category models. Existing unsupervised approaches do not take word sense into consideration. We...
    Kate Saenko, Trevor Darrell
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