Tanvi Dinkar


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From local hesitations to global impressions of a speaker’s feeling of knowing
Tanvi Dinkar | Beatrice Biancardi | Chloé Clavel
Proceedings of the Fourth International Conference on Natural Language and Speech Processing (ICNLSP 2021)


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The importance of fillers for text representations of speech transcripts
Tanvi Dinkar | Pierre Colombo | Matthieu Labeau | Chloé Clavel
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

While being an essential component of spoken language, fillers (e.g. “um” or “uh”) often remain overlooked in Spoken Language Understanding (SLU) tasks. We explore the possibility of representing them with deep contextualised embeddings, showing improvements on modelling spoken language and two downstream tasks — predicting a speaker’s stance and expressed confidence.