Simple Data Augmentation for Multilingual NLU in Task Oriented Dialogue Systems
Data augmentation has shown potential in alleviating data scarcity for Natural Language Understanding (e.g. slot filling and intent classification) in task-oriented dialogue systems. As prior work has been mostly experimented on English datasets, we focus on five different languages, and consider a...
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| Hlavní autoři: | , |
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| Médium: | Chapter |
| Jazyk: | Inglês |
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Accademia University Press
2020
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| On-line přístup: | https://doi.org/10.4000/books.aaccademia.8648 https://hdl.handle.net/20.500.13089/1dlc https://books.openedition.org/aaccademia/8648 |
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