Feedback‐based self‐learning in large‐scale conversational AI agents

Today, most of the large‐scale conversational AI agents such as Alexa, Siri, or Google Assistant are built using manually annotated data to train the different components of the system including automatic speech recognition (ASR), natural language understanding (NLU), and entity resolution (ER). Typ...

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Veröffentlicht in:	The AI magazine 2021-12, Vol.42 (4), p.43-56
Hauptverfasser:	Ponnusamy, Pragaash, Ghias, Alireza Roshan, Yi, Yi, Yao, Benjamin, Guo, Chenlei, Sarikaya, Ruhi
Format:	Artikel
Sprache:	eng
Schlagworte:	Annotations Artificial intelligence Automatic speech recognition Collaboration Conversational artificial intelligence Customers Errors Feedback Friction Guide rails Human-computer interaction Machine learning Markov analysis Markov chains Natural language Recommender systems Self instruction Speech recognition Voice recognition
Online-Zugang:	Volltext
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