A Data Efficient End-To-End Spoken Language Understanding Architecture

Many end-to-end architectures have been recently proposed for spoken language understanding (SLU) and semantic parsing. Based on a large amount of data, those models learn jointly acoustic and linguistic-sequential features. While those architectures give
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