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

机译:多参与者聊天对话中动画间分析的复音模型和系统

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Discourse in instant messenger conversations (chats) with multiple participants is often composed of several intertwining threads. Some chat environments for Computer-Supported Collaborative Learning (CSCL) support and encourage the existence of parallel threads by providing explicit referencing facilities. The paper proposes a discourse model for such chats, based on Mikhail Bakhtin's 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 participants 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.
机译:与多个参与者进行即时信使对话(聊天)中的对话通常由多个相互缠绕的线程组成。某些用于计算机支持的协作学习(CSCL)的聊天环境通过提供显式的引用工具来支持并鼓励并行线程的存在。本文基于米哈伊尔·巴赫金(Mikhail Bakhtin)的对话理论,提出了此类聊天的话语模型。它认为多个声音(不限于参与者)之间可以进行动画处理,有时以复调,对位的方式进行。还提出了一个实现的系统,该系统分析了此类聊天日志,以检测话语和线程之间的其他隐式链接,并且对于CSCL而言更重要的是,用于检测参与者在解决问题中的参与(动画)。该系统从NLP管道开始,以动画之间的识别结束,以生成反馈并为学习者提出评分。

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