@inproceedings{alikhani-etal-2019-cite,
title = "{CITE}: A Corpus of Image-Text Discourse Relations",
author = "Alikhani, Malihe and
Nag Chowdhury, Sreyasi and
de Melo, Gerard and
Stone, Matthew",
editor = "Burstein, Jill and
Doran, Christy and
Solorio, Thamar",
booktitle = "Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)",
month = jun,
year = "2019",
address = "Minneapolis, Minnesota",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/N19-1056",
doi = "10.18653/v1/N19-1056",
pages = "570--575",
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.",
}
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%0 Conference Proceedings
%T CITE: A Corpus of Image-Text Discourse Relations
%A Alikhani, Malihe
%A Nag Chowdhury, Sreyasi
%A de Melo, Gerard
%A Stone, Matthew
%Y Burstein, Jill
%Y Doran, Christy
%Y Solorio, Thamar
%S Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
%D 2019
%8 June
%I Association for Computational Linguistics
%C Minneapolis, Minnesota
%F alikhani-etal-2019-cite
%X 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.
%R 10.18653/v1/N19-1056
%U https://aclanthology.org/N19-1056
%U https://doi.org/10.18653/v1/N19-1056
%P 570-575
Markdown (Informal)
[CITE: A Corpus of Image-Text Discourse Relations](https://aclanthology.org/N19-1056) (Alikhani et al., NAACL 2019)
ACL
- Malihe Alikhani, Sreyasi Nag Chowdhury, Gerard de Melo, and Matthew Stone. 2019. CITE: A Corpus of Image-Text Discourse Relations. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), pages 570–575, Minneapolis, Minnesota. Association for Computational Linguistics.