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    EMNLP
    2011
    139views Natural Language Processing» more  EMNLP 2011»
    Unsupervised Information Extraction with Distributional Prior Knowledge
    12 years 4 months ago
    Unsupervised Information Extraction with Distributional Prior Knowledge
    Download  www.aclweb.org
    Cane Wing-ki Leung, Jing Jiang, Kian Ming Adam Cha...
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    WSDM
    2012
    ACM
    252views Data Mining» more  WSDM 2012»
    WebSets: extracting sets of entities from the web using unsupervised information extraction
    12 years 12 days ago
    WebSets: extracting sets of entities from the web using unsupervised information extraction
    Download  www.cs.cmu.edu
    We describe a open-domain information extraction method for extracting concept-instance pairs from an HTML corpus. Most earlier approaches to this problem rely on combining cluste...
    Bhavana Bharat Dalvi, William W. Cohen, Jamie Call...
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    ICMLA
    2008
    138views Machine Learning» more  ICMLA 2008»
    Semi-supervised IFA with Prior Knowledge on the Mixing Process: An Application to a Railway Device Diagnosis
    13 years 6 months ago
    Semi-supervised IFA with Prior Knowledge on the Mixing Process: An Application to a Railway Device Diagnosis
    Download  hal.archives-ouvertes.fr
    Independent Factor Analysis (IFA) is a well known method used to recover independent components from their linear observed mixtures without any knowledge on the mixing process. Su...
    Etienne Côme, Zohra Leila Cherfi, Latifa Ouk...
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    ACL
    2003
    106views Computational Linguistics» more  ACL 2003»
    Unsupervised Segmentation of Words Using Prior Distributions of Morph Length and Frequency
    13 years 6 months ago
    Unsupervised Segmentation of Words Using Prior Distributions of Morph Length and Frequency
    Download  www.aclweb.org
    We present a language-independent and unsupervised algorithm for the segmentation of words into morphs. The algorithm is based on a new generative probabilistic model, which makes...
    Mathias Creutz
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    KDD
    2007
    ACM
    237views Data Mining» more  KDD 2007»
    Knowledge discovery of multiple-topic document using parametric mixture model with dirichlet prior
    14 years 5 months ago
    Knowledge discovery of multiple-topic document using parametric mixture model with dirichlet prior
    Download  www.r.dl.itc.u-tokyo.ac.jp
    Documents, such as those seen on Wikipedia and Folksonomy, have tended to be assigned with multiple topics as a meta-data. Therefore, it is more and more important to analyze a re...
    Issei Sato, Hiroshi Nakagawa
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