Version 1
: Received: 1 March 2023 / Approved: 3 March 2023 / Online: 3 March 2023 (10:08:32 CET)
How to cite:
Hosameldeen, O.; Abousamra, R.; Al-Aqrabi, H.; Embarak, O.; Durrani, U. Improving the Accuracy of Customer Service Seq2Seq Chatbots Through Dataset Pruning. Preprints2023, 2023030070. https://doi.org/10.20944/preprints202303.0070.v1
Hosameldeen, O.; Abousamra, R.; Al-Aqrabi, H.; Embarak, O.; Durrani, U. Improving the Accuracy of Customer Service Seq2Seq Chatbots Through Dataset Pruning. Preprints 2023, 2023030070. https://doi.org/10.20944/preprints202303.0070.v1
Hosameldeen, O.; Abousamra, R.; Al-Aqrabi, H.; Embarak, O.; Durrani, U. Improving the Accuracy of Customer Service Seq2Seq Chatbots Through Dataset Pruning. Preprints2023, 2023030070. https://doi.org/10.20944/preprints202303.0070.v1
APA Style
Hosameldeen, O., Abousamra, R., Al-Aqrabi, H., Embarak, O., & Durrani, U. (2023). Improving the Accuracy of Customer Service Seq2Seq Chatbots Through Dataset Pruning. Preprints. https://doi.org/10.20944/preprints202303.0070.v1
Chicago/Turabian Style
Hosameldeen, O., Ossama Embarak and Usman Durrani. 2023 "Improving the Accuracy of Customer Service Seq2Seq Chatbots Through Dataset Pruning" Preprints. https://doi.org/10.20944/preprints202303.0070.v1
Abstract
Chatbots are extensively needed in customer services to handle customer inquiries, such as tracking orders or providing information about products and services. One of the most reliable implementations of chatbots is using the common architectures of LSTM networks named Seq2Seq networks. The networks are using an encoder and a decoder. Seq2Seq chatbot is a type of chat system that is professional enough to pass the Turing test. The Turing test is a way of deciding the accuracy of the machine by examining its response, it should appear like a human response. In this research, we will introduce a novel architecture that can pass the Turing test. The seq2seq Accuracy is improved by making incremental training to the chatbot. The new proposal provides higher accuracy and high similarity to human chat responses.
Keywords
encoder; decoder; seq2seq; LSTM; RNN; chatbots
Subject
Computer Science and Mathematics, Information Systems
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
