@inproceedings{reelfs-etal-2022-interpreting,
title = "Interpreting Emoji with Emoji",
author = "Reelfs, Jens and
Mohaupt, Timon and
Sikdar, Sandipan and
Strohmaier, Markus and
Hohlfeld, Oliver",
editor = "Wijeratne, Sanjaya and
Lee, Jennifer and
Saggion, Horacio and
Sheth, Amit",
booktitle = "Proceedings of the Fifth International Workshop on Emoji Understanding and Applications in Social Media",
month = jul,
year = "2022",
address = "Seattle, Washington, USA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.emoji-1.1/",
doi = "10.18653/v1/2022.emoji-1.1",
pages = "1--10",
abstract = "We study the extent to which emoji can be used to add interpretability to embeddings of text and emoji. To do so, we extend the POLAR-framework that transforms word embeddings to interpretable counterparts and apply it to word-emoji embeddings trained on four years of messaging data from the Jodel social network. We devise a crowdsourced human judgement experiment to study six usecases, evaluating against words only, what role emoji can play in adding interpretability to word embeddings. That is, we use a revised POLAR approach interpreting words and emoji with words, emoji or both according to human judgement. We find statistically significant trends demonstrating that emoji can be used to interpret other emoji very well."
}
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<abstract>We study the extent to which emoji can be used to add interpretability to embeddings of text and emoji. To do so, we extend the POLAR-framework that transforms word embeddings to interpretable counterparts and apply it to word-emoji embeddings trained on four years of messaging data from the Jodel social network. We devise a crowdsourced human judgement experiment to study six usecases, evaluating against words only, what role emoji can play in adding interpretability to word embeddings. That is, we use a revised POLAR approach interpreting words and emoji with words, emoji or both according to human judgement. We find statistically significant trends demonstrating that emoji can be used to interpret other emoji very well.</abstract>
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%0 Conference Proceedings
%T Interpreting Emoji with Emoji
%A Reelfs, Jens
%A Mohaupt, Timon
%A Sikdar, Sandipan
%A Strohmaier, Markus
%A Hohlfeld, Oliver
%Y Wijeratne, Sanjaya
%Y Lee, Jennifer
%Y Saggion, Horacio
%Y Sheth, Amit
%S Proceedings of the Fifth International Workshop on Emoji Understanding and Applications in Social Media
%D 2022
%8 July
%I Association for Computational Linguistics
%C Seattle, Washington, USA
%F reelfs-etal-2022-interpreting
%X We study the extent to which emoji can be used to add interpretability to embeddings of text and emoji. To do so, we extend the POLAR-framework that transforms word embeddings to interpretable counterparts and apply it to word-emoji embeddings trained on four years of messaging data from the Jodel social network. We devise a crowdsourced human judgement experiment to study six usecases, evaluating against words only, what role emoji can play in adding interpretability to word embeddings. That is, we use a revised POLAR approach interpreting words and emoji with words, emoji or both according to human judgement. We find statistically significant trends demonstrating that emoji can be used to interpret other emoji very well.
%R 10.18653/v1/2022.emoji-1.1
%U https://aclanthology.org/2022.emoji-1.1/
%U https://doi.org/10.18653/v1/2022.emoji-1.1
%P 1-10
Markdown (Informal)
[Interpreting Emoji with Emoji](https://aclanthology.org/2022.emoji-1.1/) (Reelfs et al., Emoji 2022)
ACL
- Jens Reelfs, Timon Mohaupt, Sandipan Sikdar, Markus Strohmaier, and Oliver Hohlfeld. 2022. Interpreting Emoji with Emoji. In Proceedings of the Fifth International Workshop on Emoji Understanding and Applications in Social Media, pages 1–10, Seattle, Washington, USA. Association for Computational Linguistics.