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        <title>The importance of fillers for text representations of speech transcripts</title>
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        <namePart type="given">Tanvi</namePart>
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        <namePart type="given">Pierre</namePart>
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    <name type="personal">
        <namePart type="given">Matthieu</namePart>
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    <name type="personal">
        <namePart type="given">Chloé</namePart>
        <namePart type="family">Clavel</namePart>
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            <namePart type="given">Bonnie</namePart>
            <namePart type="family">Webber</namePart>
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        <name type="personal">
            <namePart type="given">Trevor</namePart>
            <namePart type="family">Cohn</namePart>
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        <name type="personal">
            <namePart type="given">Yulan</namePart>
            <namePart type="family">He</namePart>
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        <name type="personal">
            <namePart type="given">Yang</namePart>
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    <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.</abstract>
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%0 Conference Proceedings
%T The importance of fillers for text representations of speech transcripts
%A Dinkar, Tanvi
%A Colombo, Pierre
%A Labeau, Matthieu
%A Clavel, Chloé
%Y Webber, Bonnie
%Y Cohn, Trevor
%Y He, Yulan
%Y Liu, Yang
%S Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
%D 2020
%8 November
%I Association for Computational Linguistics
%C Online
%F dinkar-etal-2020-importance
%X 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.
%R 10.18653/v1/2020.emnlp-main.641
%U https://aclanthology.org/2020.emnlp-main.641/
%U https://doi.org/10.18653/v1/2020.emnlp-main.641
%P 7985-7993

Markdown (Informal)

[The importance of fillers for text representations of speech transcripts](https://aclanthology.org/2020.emnlp-main.641/) (Dinkar et al., EMNLP 2020)

• The importance of fillers for text representations of speech transcripts (Dinkar et al., EMNLP 2020)

ACL

• Tanvi Dinkar, Pierre Colombo, Matthieu Labeau, and Chloé Clavel. 2020. The importance of fillers for text representations of speech transcripts. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 7985–7993, Online. Association for Computational Linguistics.