CITE: A Corpus of Image-Text Discourse Relations

ACL 2019

CITE: A Corpus of Image-Text Discourse Relations

Jan 19, 2021
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Abstract: This paper presents a novel crowd-sourced resource for multimodal discourse: our resource characterizes inferences in image-text contexts in the domain of cooking recipes in the form of coherence relations. Like previous corpora annotating discourse structure between text arguments, such as the Penn Discourse Treebank, our new corpus aids in establishing a better understanding of natural communication and common-sense reasoning, while our findings have implications for a wide range of applications, such as understanding and generation of multimodal documents. Authors: Malihe Alikhani, Sreyasi Nag Chowdhury, Gerard de Melo, Matthew Stone (Rutgers University, Max Planck Institute for Informatics)

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