@inproceedings{churina-etal-2024-wassa,
title = "{WASSA} 2024 Shared Task: Enhancing Emotional Intelligence with Prompts",
author = "Churina, Svetlana and
Verma, Preetika and
Tripathy, Suchismita",
editor = "De Clercq, Orph{\'e}e and
Barriere, Valentin and
Barnes, Jeremy and
Klinger, Roman and
Sedoc, Jo{\~a}o and
Tafreshi, Shabnam",
booktitle = "Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, Sentiment, {\&} Social Media Analysis",
month = aug,
year = "2024",
address = "Bangkok, Thailand",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.wassa-1.38",
pages = "425--429",
abstract = "This paper describes the system for the last-min-submittion team in WASSA-2024 Shared Task 1:Empathy Detection and Emotion Classification. This task aims at developing models which can predict the empathy, emotion, and emotional polarity. This system achieved relatively goodresults on the competition{'}s official leaderboard.The code of this system is available here.",
}
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<abstract>This paper describes the system for the last-min-submittion team in WASSA-2024 Shared Task 1:Empathy Detection and Emotion Classification. This task aims at developing models which can predict the empathy, emotion, and emotional polarity. This system achieved relatively goodresults on the competition’s official leaderboard.The code of this system is available here.</abstract>
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%0 Conference Proceedings
%T WASSA 2024 Shared Task: Enhancing Emotional Intelligence with Prompts
%A Churina, Svetlana
%A Verma, Preetika
%A Tripathy, Suchismita
%Y De Clercq, Orphée
%Y Barriere, Valentin
%Y Barnes, Jeremy
%Y Klinger, Roman
%Y Sedoc, João
%Y Tafreshi, Shabnam
%S Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis
%D 2024
%8 August
%I Association for Computational Linguistics
%C Bangkok, Thailand
%F churina-etal-2024-wassa
%X This paper describes the system for the last-min-submittion team in WASSA-2024 Shared Task 1:Empathy Detection and Emotion Classification. This task aims at developing models which can predict the empathy, emotion, and emotional polarity. This system achieved relatively goodresults on the competition’s official leaderboard.The code of this system is available here.
%U https://aclanthology.org/2024.wassa-1.38
%P 425-429
Markdown (Informal)
[WASSA 2024 Shared Task: Enhancing Emotional Intelligence with Prompts](https://aclanthology.org/2024.wassa-1.38) (Churina et al., WASSA-WS 2024)
ACL