Explore chapters and articles related to this topic
Focused domain contextual AI chatbot framework for resource poor languages
Published in Journal of Information and Telecommunication, 2019
Anirudha Paul, Asiful Haque Latif, Foysal Amin Adnan, Rashedur M Rahman
The result of this work provides a performance wise optimized framework for a chatbot which can provide contextual answers to various queries of customers without using grammar induction, morphological segmentation, part-of-speech tagging, terminology extraction, lexical analysing, etc like resource heavy natural language processing techniques. This framework is only dependent on training dataset and a dictionary of that language which makes it easily adaptable across various languages. This model can easily adopt to user data and can consistently improve overtime.