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    » Extracting Domain Knowledge for Dialogue Model Adaptation
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    NAACL
    2004
    146views Computational Linguistics» more  NAACL 2004»
    Catching the Drift: Probabilistic Content Models, with Applications to Generation and Summarization
    13 years 9 months ago
    Catching the Drift: Probabilistic Content Models, with Applications to Generation and Summarization
    Download  acl.ldc.upenn.edu
    We consider the problem of modeling the content structure of texts within a specific domain, in terms of the topics the texts address and the order in which these topics appear. W...
    Regina Barzilay, Lillian Lee
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    TSMC
    2010
    134views Artificial Intelligence» more  TSMC 2010»
    Extending the Adaptability of Reference Models
    13 years 2 months ago
    Extending the Adaptability of Reference Models
    Download  mis.hevra.haifa.ac.il
    Reference models are an important aid for business process modeling and design. Their aim is to capture domain knowledge and assist in the design of enterprise specific business pr...
    Iris Reinhartz-Berger, Pnina Soffer, Arnon Sturm
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    NAACL
    2003
    208views Computational Linguistics» more  NAACL 2003»
    Automatic Extraction of Semantic Networks from Text using Leximancer
    13 years 9 months ago
    Automatic Extraction of Semantic Networks from Text using Leximancer
    Download  acl.ldc.upenn.edu
    Leximancer is a software system for performing conceptual analysis of text data in a largely language independent manner. The system is modelled on Content Analysis and provides u...
    Andrew E. Smith
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    JMLR
    2010
    105views more  JMLR 2010»
    Collective Inference for Extraction MRFs Coupled with Symmetric Clique Potentials
    13 years 2 months ago
    Collective Inference for Extraction MRFs Coupled with Symmetric Clique Potentials
    Download  jmlr.csail.mit.edu
    Many structured information extraction tasks employ collective graphical models that capture interinstance associativity by coupling them with various clique potentials. We propos...
    Rahul Gupta, Sunita Sarawagi, Ajit A. Diwan
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    UMUAI
    2008
    144views more  UMUAI 2008»
    Tag-based user modeling for social multi-device adaptive guides
    13 years 7 months ago
    Tag-based user modeling for social multi-device adaptive guides
    Download  www.di.unito.it
    This paper aims to demonstrate that the principles of adaptation and user modeling, especially social annotation, can be integrated fruitfully with those of the Web 2.0 paradigm a...
    Francesca Carmagnola, Federica Cena, Luca Console,...
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