STraVEns: Sentence Transformer Voting Ensemble for Intent Classification-Based Chatbot Model

Natural Language Processing has experienced significant advancements in recent years, leading to the widespread adoption of Large Language Model-based chatbots. These chatbots are popular due to their ability to engage in context-aware conversations. However, deploying LLM-based chatbots can be reso...

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Veröffentlicht in:	IEEE access 2024, Vol.12, p.197187-197200
Hauptverfasser:	Pravitasari, Anindya Apriliyanti, Hamid Asnawi, Mohammad, Helen, Afrida, Handoko, Budhi, Amor Kusuma, Dianne, Herawan, Tutut, Hendrawati, Triyani
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Atmospheric modeling Business Chatbot Chatbots Classification Datasets Ensemble learning intent classification Intent recognition Large language models machine learning Natural language processing Oral communication Robustness sentence transformer Sentences Training Transformers voting classifier
Online-Zugang:	Volltext
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