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    IJCAI
    1989
    119views Artificial Intelligence» more  IJCAI 1989»
    An Experimental Comparison of Symbolic and Connectionist Learning Algorithms
    13 years 9 months ago
    An Experimental Comparison of Symbolic and Connectionist Learning Algorithms
    Download  ijcai.org
    Despite the fact that many symbolic and connectionist (neural net) learning algorithms are addressing the same problem of learning from classified examples, very little Is known r...
    Raymond J. Mooney, Jude W. Shavlik, Geoffrey G. To...
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    FLAIRS
    2003
    106views Artificial Intelligence» more  FLAIRS 2003»
    Lessons Learned using CBR for Customer Support
    13 years 9 months ago
    Lessons Learned using CBR for Customer Support
    Download  www.aaai.org
    Three CBR systems were created to improve customer support at General Electric Appliances. The first tool helped call takers answer customers’ questions by using a case base of ...
    William Cheetham
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    NDQA
    2003
    131views Education» more  NDQA 2003»
    Panel on Web-Based Question Answering
    13 years 9 months ago
    Panel on Web-Based Question Answering
    Download  www.aaai.org
    Early TREC-style Question Answering Systems were characterized by the following features: (a) the answer of the question was known to be included in a given local corpus, (b) the ...
    Dragomir R. Radev
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    WWW
    2008
    ACM
    234views Internet Technology» more  WWW 2008»
    Finding the right facts in the crowd: factoid question answering over social media
    14 years 8 months ago
    Finding the right facts in the crowd: factoid question answering over social media
    Download  www2008.org
    Community Question Answering has emerged as a popular and effective paradigm for a wide range of information needs. For example, to find out an obscure piece of trivia, it is now ...
    Jiang Bian, Yandong Liu, Eugene Agichtein, Hongyua...
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    LREC
    2008
    101views Education» more  LREC 2008»
    The QALL-ME Benchmark: a Multilingual Resource of Annotated Spoken Requests for Question Answering
    13 years 9 months ago
    The QALL-ME Benchmark: a Multilingual Resource of Annotated Spoken Requests for Question Answering
    Download  www.lrec-conf.org
    This paper presents the QALL-ME benchmark, a multilingual resource of annotated spoken requests in the tourism domain, freely available for research purposes. The languages curren...
    Elena Cabrio, Milen Kouylekov, Bernardo Magnini, M...
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