RE: [Corpora-List] Does anybody know a classified faq collection?

From: Ling Yin (Yin.Ling@itri.brighton.ac.uk)
Date: Wed May 18 2005 - 12:50:41 MET DST

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    Dear Eric, Andy, Suzan, Debbie and many others,

           Thank you very much for your information.

           Further to Eric's question "Ling, can you name any other
    researchers or research papers studying FAQs? This might help my case
    for "releasing" our Leeds SoC FAQ." The answer is as follows:

           There are many people who study automatically answering a
    question by matching it against questions in a faq set. One example is
    Robin Burke, Kristian Hammond and Julia Kozlovsky's FAQ Finder System.

           In the question answering research community, people classifiy
    questions into semantic classes such as "Time", "Name", "Number",
    "Definition", etc. Refer to the webclopedia system by
    http://www.isi.edu/natural-language/projects/webclopedia/.

           In the study of statistical methods for question answering,
    people usually use large collection of FAQs to train machines to learn
    the relation between questions and answers. For example: Radu Soricut
    and Eric Brill's system used a corpus of 1 million question/answer
    pairs; Ittycheriah and Roukos's system used
    4k question/answering pairs.

           Thanks again!

    Ling

        

    -----Original Message-----
    From: owner-corpora@lists.uib.no [mailto:owner-corpora@lists.uib.no] On
    Behalf Of D Elliott
    Sent: Tuesday, May 17, 2005 10:58 AM
    To: Ling Yin
    Cc: CORPORA@UIB.NO
    Subject: Re: [Corpora-List] Does anybody know a classified faq
    collection?

    Further to Eric Atwell's suggestion, I am also not aware of any FAQ
    collection classified according to your preferred semantic classes, but
    for my research into MT evaluation, I used texts from the Internet FAQ
    Archives at:

    http://www.faqs.org/faqs/

    Here you'll find an enormous number of FAQs listed by topic - A-Z. I
    used
    text from the site to create a million word corpus of FAQs on computer
    software. But you'll also find anything from boats to bicycles, fashion
    to
    fetishes, tattoos to textiles.

    Debbie
    (Thanks to Andy Roberts - also at Leeds - who directed me to this site) 

    -- 
***************************************************
Debbie Elliott
Computer Vision and Language Research Group,
School of Computing,
University of Leeds,
Leeds LS2 9JT
United Kingdom.
Tel: 0113 3437288
Email: debe@comp.leeds.ac.uk
***************************************************

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