Publication Type : Conference Paper
Publisher : ICTEE
Source : Technology Enhanced Education (ICTEE), 2012 IEEE International Conference on (2012)
Url : http://ieeexplore.ieee.org/document/6208614/?reload=true&arnumber=6208614
Keywords : Algorithm design and analysis, Artificial intelligence, automated question answering system, Bayesian classification, Bayesian methods, belief networks, categorization, chatbot, chatbot system, Collaborative learning, Computer aided instruction, computer mediated communication, Databases, E-learning, intelligent question answering conversational agent, learning process, multi-agent systems, Naïve Bayesian classifier, Pattern classification, Posterior probability, Q&A knowledge, question answering (information retrieval), Speech, Teaching, teaching methods, Terminology, Tokenizer, virtual teacher
Campus : Coimbatore
School : School of Engineering
Center : TIFAC CORE in Cyber Security
Department : Computer Science
Year : 2012
Abstract : In the current scenario, learning has taken a completely new dimension. New methods of teaching like E-learning and collaborative learning etc have computerized the learning process to a large extent. But the teachers' presence is still mandatory at all times. Also the current systems have low reliability so the teacher has to monitor them constantly. To solve this problem this paper introduces an automated question answering system. This proposed system answers the queries posted by the student in a more interactive way like a virtual teacher (chatbot system). The Qamp;A knowledge base can be accessed and modified by the instructor who could also know the areas where the students are more prone to doubts thus helping the student as well as the instructor.
Cite this Research Publication : M. Niranjan, Saipreethy, M. S., and Dr. Gireesh K. T., “An intelligent question answering conversational agent using Na #x00EF;ve Bayesian classifier”, in Technology Enhanced Education (ICTEE), 2012 IEEE International Conference on, 2012.