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2019 | OriginalPaper | Chapter

Towards Pragmatic Understanding of Conversational Intent: A Multimodal Annotation Approach to Multiparty Informal Interaction – The EVA Corpus

Authors : Izidor Mlakar, Darinka Verdonik, Simona Majhenič, Matej Rojc

Published in: Statistical Language and Speech Processing

Publisher: Springer International Publishing

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Abstract

The present paper describes a corpus for research into the pragmatic nature of how information is expressed synchronously through language, speech, and gestures. The outlined research stems from the ‘growth point theory’ and ‘integrated systems hypothesis’, which proposes that co-speech gestures (including hand gestures, facial expressions, posture, and gazing) and speech originate from the same representation, but are not necessarily based solely on the speech production process; i.e. ‘speech affects what people produce in gesture and that gesture, in turn, affects what people produce in speech’ ([1]: 260). However, the majority of related multimodal corpuses ‘ground’ non-verbal behavior in linguistic concepts such as speech acts or dialog acts. In this work, we propose an integrated annotation scheme that enables us to study linguistic and paralinguistic interaction features independently and to interlink them over a shared timeline. To analyze multimodality in interaction, a high-quality multimodal corpus based on informal discourse in a multiparty setting was built.

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previous chapter The Time-Course of Phoneme Category Adaptation in Deep Neural Networks
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Metadata
Title
Towards Pragmatic Understanding of Conversational Intent: A Multimodal Annotation Approach to Multiparty Informal Interaction – The EVA Corpus
Authors
Izidor Mlakar
Darinka Verdonik
Simona Majhenič
Matej Rojc
Copyright Year
2019
Book
Statistical Language and Speech Processing

Print ISBN: 978-3-030-31371-5

Electronic ISBN: 978-3-030-31372-2

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-31372-2_2

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