TY  - JOUR
TI  - Ensemble Learning Approach to Chatbot Design Based on Paraphrase Detection
AB  - In this paper, we present a design for an ensemble chatbot based on paraphrase detection. Our proposed chatbot is intended to assist companies in reducing the need for costly call center operations by providing a 24-hour service to customers seeking information about products or services. Our algorithm is designed to work effectively on small data sets, such as an existing FAQ, and does not require a large number of instances. We evaluated the performance of our chatbot using publicly available data from the websites of major telecommunication companies and found that the ensemble model improved success rates by 6% compared to the single best model, with a top 3 accuracy of 84.54% and a top 1 accuracy of 70.10%.
AU  - Kesgin, Himmet Toprak
AU  - Öztunç, Onur
AU  - Diri, Banu
DO  - 10.34088/kojose.1198245
PY  - 2023
JO  - Kocaeli Journal of Science and Engineering
VL  - 6
IS  - 2
SN  - 2667-484X
SP  - 129
EP  - 137
DB  - TRDizin
UR  - http://search/yayin/detay/1211317
ER  -