EN
Ensemble Learning Approach to Chatbot Design Based on Paraphrase Detection
Öz
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%.
Anahtar Kelimeler
Kaynakça
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- [3] Devlin J., Chang M.W., Lee K., Toutanova K., 2019. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. Paper presented at the North American Chapter of the Association for Computational Linguistics.
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- [5] Rajpurkar P., Zhang J., Lopyrev K., Liang P., 2016. SQuAD: 100,000+ Questions for Machine Comprehension of Text. Paper presented at the Conference on Empirical Methods in Natural Language Processing.
- [6] Taşar D.E., Şükrü O., Kutal S., Ölmez O., Gülüm S., Akca F., Belhan C., 2021. Performance Trade-Off for Bert Based Multi-Domain Multilingual Chatbot Architectures. Journal of Artificial Intelligence and Data Science, 1(2), pp. 144‒149. Izmir Katip Celebi University.
- [7] Sak H., Senior A.W., Beaufays F., 2014. Long short-term memory recurrent neural network architectures for large scale acoustic modeling. Paper presented at Interspeech.
- [8] Yin Z., Chang K.H., Zhang R., 2017. DeepProbe: Information Directed Sequence Understanding and Chatbot Design via Recurrent Neural Networks. Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 2131‒2139. ACM.
Ayrıntılar
Birincil Dil
İngilizce
Konular
Yapay Zeka
Bölüm
Araştırma Makalesi
Erken Görünüm Tarihi
12 Ekim 2023
Yayımlanma Tarihi
30 Kasım 2023
Gönderilme Tarihi
2 Kasım 2022
Kabul Tarihi
9 Şubat 2023
Yayımlandığı Sayı
Yıl 2023 Cilt: 6 Sayı: 2
APA
Kesgin, H. T., Öztunç, O., & Diri, B. (2023). Ensemble Learning Approach to Chatbot Design Based on Paraphrase Detection. Kocaeli Journal of Science and Engineering, 6(2), 129-137. https://doi.org/10.34088/kojose.1198245
AMA
1.Kesgin HT, Öztunç O, Diri B. Ensemble Learning Approach to Chatbot Design Based on Paraphrase Detection. KOJOSE. 2023;6(2):129-137. doi:10.34088/kojose.1198245
Chicago
Kesgin, Himmet Toprak, Onur Öztunç, ve Banu Diri. 2023. “Ensemble Learning Approach to Chatbot Design Based on Paraphrase Detection”. Kocaeli Journal of Science and Engineering 6 (2): 129-37. https://doi.org/10.34088/kojose.1198245.
EndNote
Kesgin HT, Öztunç O, Diri B (01 Kasım 2023) Ensemble Learning Approach to Chatbot Design Based on Paraphrase Detection. Kocaeli Journal of Science and Engineering 6 2 129–137.
IEEE
[1]H. T. Kesgin, O. Öztunç, ve B. Diri, “Ensemble Learning Approach to Chatbot Design Based on Paraphrase Detection”, KOJOSE, c. 6, sy 2, ss. 129–137, Kas. 2023, doi: 10.34088/kojose.1198245.
ISNAD
Kesgin, Himmet Toprak - Öztunç, Onur - Diri, Banu. “Ensemble Learning Approach to Chatbot Design Based on Paraphrase Detection”. Kocaeli Journal of Science and Engineering 6/2 (01 Kasım 2023): 129-137. https://doi.org/10.34088/kojose.1198245.
JAMA
1.Kesgin HT, Öztunç O, Diri B. Ensemble Learning Approach to Chatbot Design Based on Paraphrase Detection. KOJOSE. 2023;6:129–137.
MLA
Kesgin, Himmet Toprak, vd. “Ensemble Learning Approach to Chatbot Design Based on Paraphrase Detection”. Kocaeli Journal of Science and Engineering, c. 6, sy 2, Kasım 2023, ss. 129-37, doi:10.34088/kojose.1198245.
Vancouver
1.Himmet Toprak Kesgin, Onur Öztunç, Banu Diri. Ensemble Learning Approach to Chatbot Design Based on Paraphrase Detection. KOJOSE. 01 Kasım 2023;6(2):129-37. doi:10.34088/kojose.1198245