@inproceedings{d67af140682240d48c370a1c2193b180,
title = "The importance of fillers for text representations of speech transcripts",
abstract = "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.",
author = "Tanvi Dinkar and Pierre Colombo and Matthieu Labeau and Chlo{\'e} Clavel",
note = "Publisher Copyright: {\textcopyright} 2020 Association for Computational Linguistics.; 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020 ; Conference date: 16-11-2020 Through 20-11-2020",
year = "2020",
month = jan,
day = "1",
language = "English",
series = "EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference",
publisher = "Association for Computational Linguistics (ACL)",
pages = "7985--7993",
booktitle = "EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference",
}