Practical guidelines for intent recognition: BERT with minimal training data evaluated in real-world HRI application

Practical guidelines for intent recognition: BERT with minimal training data evaluated in real-world HRI application

Intent recognition models, which match a written or spoken input's class in order to guide an interaction, are an essential part of modern voice user interfaces, chatbots, and social robots. However, getting enough data to train these models can be very expensive and challenging, especially whe...

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Bibliographic Details
Main Authors: Huggins, M, Alghowinem, S, Jeong, S, Colon-Hernandez, P, Breazeal, C, Park, HW
Other Authors: Massachusetts Institute of Technology. Media Laboratory
Format: Article
Language:English
Published: ACM 2021
Online Access:https://hdl.handle.net/1721.1/137130

Internet

https://hdl.handle.net/1721.1/137130

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