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On visual coreference chains resolution

Conference paper
Authors Simon Dobnik
Sharid Loáiciga
Published in Proceedings of LondonLogue - Semdial 2019: The 23rd Workshop on the Semantics and Pragmatics of Dialogue, 4-6 September, 2019, London
ISSN 2308-2275
Publisher Queen Mary University of London
Place of publication London, UK
Publication year 2019
Published at Department of Philosophy, Linguistics and Theory of Science
Language en
Links semdial.org/anthology/papers/Z/Z19/...
https://semdial2019.github.io/#
https://gup.ub.gu.se/file/207841
https://gup.ub.gu.se/file/207866
Keywords visual dialogue, coreference resolution, language, vision, coreference tools
Subject categories Cognitive science, Linguistics, Computational linguistics

Abstract

We explore to what degree an existing textual coreference resolution tools can be applied to visual dialogue data. The analysis of error of the coreference system (i) demonstrates the extent to which such data differs from the writ- ten document texts that these tools are typically applied on; (ii) informs about the relation between information expressed in language and vision; and (iii) suggests further directions in which coreference tools should be adapted for visual dialogue.

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