CLASP
The Centre for Linguistic Theory and Studies in Probability

The effect of laughter on dialogue act recognition

We investigate how useful BERT is for dialogue act recognition. We analyse benefit of BERT’s pre-training procedure and the importance of fine-tuning in the dialogue setting. To confirm that the model learns to represent dialogical features, we look at how it uses laughter, a phenomenon specific to dialogue, and analyse where laughter is most helpful for dialogue act recognition.