2013 International Conference on Informatics, Electronics and Vision (ICIEV) 2013
DOI: 10.1109/iciev.2013.6572650
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Toward the implementation of a topic specific dialogue based natural language chatbot as an undergraduate advisor

Abstract: In this work, we explain the design of a chat robot that is specifically tailored for providing FAQBot system for university students and with the objective of an undergraduate advisor in student information desk. The chat robot accepts natural language input from users, navigates through the Information Repository and responds with student information in natural language. In this paper, we model the Information Repository by a connected graph where the nodes contain information and links interrelates the info… Show more

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Cited by 77 publications
(26 citation statements)
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“…15,25 Current health coaching systems integrate artificial intelligence (AI)-based conversational agents powered with machine learning and natural language understanding. 23,31,32 Such systems are flexible and can respond to users' requests. To enhance users' engagement with health coaching systems, persuasive techniques and gamification design elements can be integrated within the dialog model.…”
Section: Related Workmentioning
confidence: 99%
“…15,25 Current health coaching systems integrate artificial intelligence (AI)-based conversational agents powered with machine learning and natural language understanding. 23,31,32 Such systems are flexible and can respond to users' requests. To enhance users' engagement with health coaching systems, persuasive techniques and gamification design elements can be integrated within the dialog model.…”
Section: Related Workmentioning
confidence: 99%
“…In paper [5] a survey of various chat bot implementation is taken into consideration and the performance and working of different chat bots is analyzed. A comparison from the first chat bot ELIZA to the latest ALEXA has been made.…”
Section: Related Workmentioning
confidence: 99%
“…As data mining techniques, the integration of architectures more complex than AIML based on probabilistic methods (Bentivoglio et al, 2010;di Lecce et al, 2010) and decision trees improve, and as machine learning develops, the skills of chatbots are expanding to make decisions, have a wider corpus of knowledge and give linguistically stronger responses (Ghose & Barua, 2013).…”
Section: Introductionmentioning
confidence: 99%