Predicting Quality of Answer in Collaborative Question Answer Learning
نویسندگان
چکیده
منابع مشابه
Predicting Quality of Answer in Collaborative Question Answer Learning
Studies over the years shown that students had actively and more interactively involved in a classroom discussion to gain their knowledge. By posting questions for other participants to answer, students could obtain several answers to their question. The problem is sometimes the answer chosen by student as the best answer is not necessarily the best quality answer. Therefore, an automatic recom...
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Community Question Answering (CQA) services have emerged allowing information seekers pose their information need which is questions and receive answers from their fellow users, also participate in evaluating the questions or answers in a variety of topics. Within this community information seekers could interact and get information from a wide range of users, forming a heterogeneous social net...
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Passage-level question answer matching is a challenging task since it requires effective representations that capture the complex semantic relations between questions and answers. In this work, we propose a series of deep learning models to address passage answer selection. To match passage answers to questions accommodating their complex semantic relations, unlike most previous work that utili...
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ژورنال
عنوان ژورنال: International Journal of Advanced Research in Artificial Intelligence
سال: 2014
ISSN: 2165-4069,2165-4050
DOI: 10.14569/ijarai.2014.030205