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    A Polyphonic Model and System for Inter-animation Analysis in Chat Conversation with Multiple Participants

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    Discourse in instant messenger conversations (chats) with multiple participants is often composed of several intertwining threads. Some chat envi- ronments for Computer-Supported Collaborative Learning (CSCL) support and encourage the existence of parallel threads by providing explicit referencing fa- cilities. The paper proposes a discourse model for such chats, based on Mikhail Bakhtins dialogic theory. It considers that multiple voices (which do not limit to the participants) inter-animate, sometimes in a polyphonic, counterpointal way. An implemented system is also presented, which analyzes such chat logs for detecting additional, implicit links among utterances and threads and, more important for CSCL, for detecting the involvement (inter-animation) of the par- ticipants in problem solving. The system begins with a NLP pipe and concludes with inter-animation identification in order to generate feedback and to propose grades for the learners.

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    Description

    Title : A Polyphonic Model and System for Inter-animation Analysis in Chat Conversation with Multiple Participants
    Author(s) : Stefan Trausan-Matu, Traian Rebedea
    Abstract : Discourse in instant messenger conversations (chats) with multiple participants is often composed of several intertwining threads. Some chat envi- ronments for Computer-Supported Collaborative Learning (CSCL) support and encourage the existence of parallel threads by providing explicit referencing fa- cilities. The paper proposes a discourse model for such chats, based on Mikhail Bakhtins dialogic theory. It considers that multiple voices (which do not limit to the participants) inter-animate, sometimes in a polyphonic, counterpointal way. An implemented system is also presented, which analyzes such chat logs for detecting additional, implicit links among utterances and threads and, more important for CSCL, for detecting the involvement (inter-animation) of the par- ticipants in problem solving. The system begins with a NLP pipe and concludes with inter-animation identification in order to generate feedback and to propose grades for the learners.
    Subject : unspecified
    Area : Other
    Language : English
    Year : 2010

    Affiliations Computer Science Department, Politehnica University of Bucharest
    Journal : Computational Linguistics and Intelligent
    Pages : 354-363
    Url : http://www.springerlink.com/index/5N6101142068182L.pdf

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    Stefan's Peer Evaluation activity

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