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    AIED-CORPUS 2011 - AIED-corpus 2011: WORKSHOP ON CORPUS ANALYSIS OF NATURAL LANGUAGE DIALOGUE FOR BUILDING ITSs

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    Website faculty.cs.niu.edu/~freedman/aied2011-corpus-workshop.html | Want to Edit it Edit Freely

    Category AIED-CORPUS 2011

    Deadline: April 08, 2011 | Date: June 27, 2011-June 28, 2011

    Venue/Country: Christchurch, New Zealand

    Updated: 2011-03-18 14:28:18 (GMT+9)

    Call For Papers - CFP

    Computer engagement with natural language dialogue is an important aspect of intelligent tutoring technology and computer supported collaborative learning systems. In addition to being an innate capability of the human organism, natural language is flexible and extensible and does not require the user to learn a new GUI .

    To form a scientific basis for machine processing of dialogue - either engaging in dialogue or processing dialogue data - many research groups have collected and analyzed corpora of human-human dialogues. Corpus analysis for system construction differs from corpus analysis for other purposes, including various types of linguistic, sociolinguistic or pedagogical analysis, for two reasons. First, technology researchers must focus on methods that can be implemented via computer in real time. Second, intelligent tutoring domains are often technical domains of discourse where a high degree of precision is required.

    All researchers involved in natural language corpus analysis for pedagogical systems, whether for a current or a prospective system, are invited to participate. Linguistic, statistical, machine learning and hybrid approaches are all welcome.

    The following topics are of special interest, but other topics are welcome.

    Input understanding: Parsing, chunking, information extraction, LSA, hybrid approaches

    Discourse analysis: Topic choice

    Dialogue management: Turn-taking

    Text generation: Corpus analysis for a wide spectrum of generation algorithms

    Spoken language processing: Speech understanding and generation

    Relation of language and affect: Recognition of affect in student or tutor language

    Correlation of natural language and other media, eg, video

    Adaptation of generated text based on content, user model, or other factors

    Automatic authoring: Generation of ITS dialogues from attested examples

    Corpus collection: Issues involved in obtaining a representative sample of the desired text

    Text analysis for CSCL: Characterizing and adapting to individual student contributions

    Submission information

    Short papers may range from 2-4 pages in length and include position papers, reports of work in progress, or a description of a proposed demo.

    Long papers may be up to 8 pages long and include reports of completed work or analyses of issues in the field.

    All accepted papers will appear in the workshop proceedings.

    Papers must be submitted through EasyChair by Midnight (GMT) on March 29. Papers should be submitted in PDF format using the Springer LNCS format. Templates can be found in the Conference author Kit . To submit, Go to the EasyChair Workshop page.

    Program Committee

    Reva Freedman (Chair), Northern Illinois University

    Charles Callaway , University of Haifa

    Barbara Di Eugenio , University of Illinois at Chicago

    Michael Glass , Valparaiso University

    Pamela W. Jordan , University of Pittsburgh

    Alistair Knott , University of Otago

    Bruce McLaren , Carnegie-Mellon University

    Andrew Olney , University of Memphis

    David R. Traum , USC Institute for Creative Technologies

    For further information

    Please contact Reva Freedman at rfreedmanatniu.edu.


    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
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