Abstract
The fast progress in the development of communication and information has made people very diverse in knowledge improvement, education, and learning methods. In this paper, we show how we can convert documents into the knowledge of a chatter robot. It helps users to make profit out of it by asking and answering queries, using electronic documents which are integrated with the simulated system. Hence, we are motivated to develop an educational chatbot system which provides a virtual assistant. Its main function is to streamline and to automate manual and administrative tasks while supporting other course-related activities. The aim of this research work is to develop a system which is automated and can provide an answer to a question asked by a user on behalf of a person, for educational purposes. We have focused on the local as well as Web databases to make the model user-friendly, interactive, and scalable.
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References
A. Mondal, E. Cambria, D. Das, A. Hussain, S. Bandyopadhyay, Relation extraction of medical concepts using categorization and sentiment analysis. Cogn. Comput. 10, 1–16 (2018)
A. Mondal, D. Das, S. Bandyopadhyay, Relationship extraction based on category of medical concepts from lexical contexts, in 14th International Conference on Natural Language Processing (ICON 2017), Kolkata, India (2017), pp. 212–219
A. Mondal, E. Cambria, A. Feraco, D. Das, S. Bandyopadhyay, Auto-categorization of medical concepts and contexts. In 2017 IEEE Symposium Series on Computational Intelligence (SSCI) (IEEE, 2017), pp. 1–7 (November)
C. Sanli, A. Mondal, E. Cambria, Tracing linguistic relations in winning and losing sides of explicit opposing groups (2017). arXiv preprint arXiv:1703.00317
B. Shawar, E. Atwell, A Comparison Between Alice and Elizabeth Chatbot Systems (2002)
I. Ahmed, S. Singh, AIML based voice enabled Artificial Intelligence Chatterbot. IJUNESST 8, 375–384 (2015). https://doi.org/10.14257/ijunesst.2015.8.2.36
J. Huang, M. Zhou, D. Yang, Extracting chatbot knowledge from online discussion forums in 20th International Joint Conference on Artificial intelligence (2007), pp. 423–428
J. Allen, Natural Language Understanding (Benjamin/Cummins Publishing Inc., 1995)
R. Dale, et al. (eds.), Handbook of Natural Language Processing (Marcel Dekker Inc., 2000)
L.M. Iwanska, et al., Natural Language Processing and Knowledge Representation: Language for Knowledge and Knowledge for Language (AAAI Press/MIT Press, 2000)
N. Chomsky, Three models for the description of language. IRE Trans. PGIT 2, 113–124 (1956)
N. Chomsky, Aspects of the Theory of Syntax (MIT Press, Cambridge, 1965)
N. Chomsky, Topics in the Theory of Generative Grammar (Mouton & Co. N.V. Publishers, 1969)
P. Tapanainen, T. Järvinen, A non-projective dependency parser, in Proceedings of the 5th Conference on Applied Natural Language Processing (ACL, Washington, D.C., 1997)
“ELIZA”, J. Weizenbaum, Computer Power and Human Reason: From Judgment to Calculation (W.H. Freeman and Company, New York, 1976), pp. 2, 3, 6, 182, 189. ISBN 0-7167-0464-1
T. Winograd, Understanding Natural Language (Edinburgh University Press, 1972)
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Sinha, S., Basak, S., Dey, Y., Mondal, A. (2020). An Educational Chatbot for Answering Queries. In: Mandal, J., Bhattacharya, D. (eds) Emerging Technology in Modelling and Graphics. Advances in Intelligent Systems and Computing, vol 937. Springer, Singapore. https://doi.org/10.1007/978-981-13-7403-6_7
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DOI: https://doi.org/10.1007/978-981-13-7403-6_7
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