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    NAACL
    2003
    126views Computational Linguistics» more  NAACL 2003»
    WordFreak: An Open Tool for Linguistic Annotation
    13 years 10 months ago
    WordFreak: An Open Tool for Linguistic Annotation
    Download  acl.ldc.upenn.edu
    WordFreak is a natural language annotation tool that has been designed to be easy to extend to new domains and tasks. Specifically, a plug-in architecture has been developed whic...
    Thomas S. Morton, Jeremy LaCivita
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    AAAI
    1998
    190views Intelligent Agents» more  AAAI 1998»
    Emotion Model for Life-Like Agent and Its Evaluation
    13 years 10 months ago
    Emotion Model for Life-Like Agent and Its Evaluation
    Download  www.aaai.org
    This paper proposes an emotion model for life-like agents with emotions and motivations. This model consists of reactive and deliberative mechanisms. The former generates low-leve...
    Hirohide Ushida, Yuji Hirayama, Hiroshi Nakajima
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    IJCAI
    1997
    100views Artificial Intelligence» more  IJCAI 1997»
    High Performance ATP Systems by Combining Several AI Methods
    13 years 10 months ago
    High Performance ATP Systems by Combining Several AI Methods
    Download  dli.iiit.ac.in
    We present a design for an automated theorem prover that controls its search based on ideas from several areas of artificial intelligence (AI). The combination of case-based reaso...
    Jörg Denzinger, Marc Fuchs, Matthias Fuchs
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    EACL
    1989
    ACL Anthology
    121views Natural Language Processing» more  EACL 1989»
    It Would Be Much Easier If WENT Were GOED
    13 years 10 months ago
    It Would Be Much Easier If WENT Were GOED
    Download  acl.ldc.upenn.edu
    The paper proposes a paradigmatic approach to morphological knowledge acquisition. It addresses the problem of learning from examples rules for word-forms analysis and synthesis. ...
    Dan Tufis
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    APIN
    2010
    107views more  APIN 2010»
    Extracting reduced logic programs from artificial neural networks
    13 years 9 months ago
    Extracting reduced logic programs from artificial neural networks
    Download  knoesis.wright.edu
    Artificial neural networks can be trained to perform excellently in many application areas. While they can learn from raw data to solve sophisticated recognition and analysis prob...
    Jens Lehmann, Sebastian Bader, Pascal Hitzler
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