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    LREC
    2008
    172views Education» more  LREC 2008»
    CallSurf: Automatic Transcription, Indexing and Structuration of Call Center Conversational Speech for Knowledge Extraction and
    13 years 10 months ago
    CallSurf: Automatic Transcription, Indexing and Structuration of Call Center Conversational Speech for Knowledge Extraction and
    Download  www.lrec-conf.org
    Being the client's first interface, call centres worldwide contain a huge amount of information of all kind under the form of conversational speech. If accessible, this infor...
    Martine Garnier-Rizet, Gilles Adda, Frederik Caill...
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    SIGIR
    2012
    ACM
    235views Information Technology» more  SIGIR 2012»
    Building reputation and trust using federated search and opinion mining
    11 years 11 months ago
    Building reputation and trust using federated search and opinion mining
    Download  www2012.wwwconference.org
    The term online reputation addresses trust relationships amongst agents in dynamic open systems. These can appear as ratings, recommendations, referrals and feedback. Several repu...
    Somayeh Khatiban
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    FLAIRS
    2007
    243views Artificial Intelligence» more  FLAIRS 2007»
    Indexing Documents by Discourse and Semantic Contents from Automatic Annotations of Texts
    13 years 11 months ago
    Indexing Documents by Discourse and Semantic Contents from Automatic Annotations of Texts
    Download  www.aaai.org
    The basic aim of the model proposed here is to automatically build semantic metatext structure for texts that would allow us to search and extract discourse and semantic informati...
    Brahim Djioua, Jean-Pierre Desclés
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    ACL
    2012
    230views Computational Linguistics» more  ACL 2012»
    Learning to "Read Between the Lines" using Bayesian Logic Programs
    11 years 11 months ago
    Learning to "Read Between the Lines" using Bayesian Logic Programs
    Download  aclweb.org
    Most information extraction (IE) systems identify facts that are explicitly stated in text. However, in natural language, some facts are implicit, and identifying them requires â€...
    Sindhu Raghavan, Raymond J. Mooney, Hyeonseo Ku
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    AUSAI
    2007
    Springer
    100views Artificial Intelligence» more  AUSAI 2007»
    Merging Algorithm to Reduce Dimensionality in Application to Web-Mining
    14 years 3 months ago
    Merging Algorithm to Reduce Dimensionality in Application to Web-Mining
    Download  www.maths.uq.edu.au
    Dimensional reduction may be effective in order to compress data without loss of essential information. Also, it may be useful in order to smooth data and reduce random noise. The...
    Vladimir Nikulin, Geoffrey J. McLachlan
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