@inproceedings{dinkar-etal-2020-importance,
    title = "The importance of fillers for text representations of speech transcripts",
    author = "Dinkar, Tanvi  and
      Colombo, Pierre  and
      Labeau, Matthieu  and
      Clavel, Chlo{\'e}",
    editor = "Webber, Bonnie  and
      Cohn, Trevor  and
      He, Yulan  and
      Liu, Yang",
    booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)",
    month = nov,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/add-emnlp-2024-awards/2020.emnlp-main.641/",
    doi = "10.18653/v1/2020.emnlp-main.641",
    pages = "7985--7993",
    abstract = "While being an essential component of spoken language, fillers (e.g. {\textquotedblleft}um{\textquotedblright} or {\textquotedblleft}uh{\textquotedblright}) 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."
}