Cross-lingual Transfer Learning for Dialogue Act Recognition

19 May 2020Jiří MartínekChristophe CerisaraPavel KrálLadislav Lenc

This paper deals with cross-lingual transfer learning for dialogue act (DA) recognition. Besides generic contextual information gathered from pre-trained BERT embeddings, our objective is to transfer models trained on a standard English DA corpus to two other languages, German and French, and to potentially very different types of dialogue with different dialogue acts than the standard well-known DA corpora... (read more)

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