Automated classification of collaborative problem solving interactions in simulated science tasks
Automated classification of collaborative problem solving interactions in simulated science tasks
复制标题
模拟科学任务中协作问题解决交互的自动分类
DOI：
10.18653/v1/w16-0504
复制
发表时间：
2016
期刊：
影响因子：
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通讯作者：
A. V. Davier
中科院分区：
文献类型：
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作者：
Michael Flor;Su;J. Hao;Lei Liu;A. V. Davier
我们提出了一种新的情景任务，它将协作问题解决行为与科学领域中的测试相结合。参与者参与了话语，这是用来评估他们的协作能力的。我们给出了使用一种新的分类模式对这类话语进行自动分类的初步实验。仅使用词汇特征就可以达到相当高的准确度。对域外数据进行训练的言语行为分类器也可能有所帮助。
We present a novel situational task that integrates collaborative problem solving behavior with testing in a science domain. Participants engage in discourse, which is used to evaluate their collaborative skills. We present initial experiments for automatic classification of such discourse, using a novel classification schema. Considerable accuracy is achieved with just lexical features. A speech-act classifier, trained on out-of-domain data, can also be helpful.