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An Interactive Framework of Cross-Lingual NLU for In-Vehicle Dialogue

As globalization accelerates, the linguistic diversity and semantic complexity of in-vehicle communication is increasing. In order to meet the needs of different language speakers, this paper proposes an interactive attention-based contrastive learning framework (IABCL) for the field of in-vehicle d...

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Principais autores: Xinlu Li, Liangkuan Fang, Lexuan Zhang, Pei Cao
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2023-10-01
Serier:Sensors
Fag:
interactive framework
in-vehicle dialogue
contrastive learning
attention mechanism
cross-lingual
Online adgang:https://www.mdpi.com/1424-8220/23/20/8501
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