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Automatic Detection of Inconsistencies and Hierarchical Topic Classification for Open-Domain Chatbots

Current State-of-the-Art (SotA) chatbots are able to produce high-quality sentences, handling different conversation topics and larger interaction times. Unfortunately, the generated responses depend greatly on the data on which they have been trained, the specific dialogue history and current turn...

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Autors principals: Mario Rodríguez-Cantelar, Marcos Estecha-Garitagoitia, Luis Fernando D’Haro, Fernando Matía, Ricardo Córdoba
Format: Artigo
Idioma:Inglês
Publicat: MDPI AG 2023-08-01
Col·lecció:Applied Sciences
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Accés en línia:https://www.mdpi.com/2076-3417/13/16/9055
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