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Multimodal Annotation of Conversational Data

Abstract : We propose in this paper a broad-coverage approach for multimodal annotation of conversational data. Large annotation projects addressing the question of multimodal annotation bring together many different kinds of information from different domains, with different levels of granularity. We present in this paper the first results of the OTIM project aiming at developing conventions and tools for multimodal annotation.
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Submitted on : Thursday, March 1, 2018 - 11:40:39 AM
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  • HAL Id : hal-01720424, version 1


P. Blache, R Bertrand, B Bigi, Emmanuel Bruno, E Cela, et al.. Multimodal Annotation of Conversational Data. Proceedings of the Fourth Linguistic Annotation Workshop, 2010, Uppsala, Sweden. pp 186-191. ⟨hal-01720424⟩



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