@inproceedings{aman-parveen-2025-uimp,
title = "{UIMP}-Aaman at {S}em{E}val-2025 Task11: Detecting Intensity and Emotion in Social Media and News",
author = "Aman - Parveen, Aisha",
editor = "Rosenthal, Sara and
Ros{\'a}, Aiala and
Ghosh, Debanjan and
Zampieri, Marcos",
booktitle = "Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025)",
month = jul,
year = "2025",
address = "Vienna, Austria",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.semeval-1.47/",
pages = "331--335",
ISBN = "979-8-89176-273-2",
abstract = "This paper presents our participation in SemEval task 11, which consists of emotion recognition in sentences written in multiple languages. We use in-context learning and fine-tuning methods to teach LLMs how to predict labels for Track A, Track B and Track C. The best results depends on track and language predicted."
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%0 Conference Proceedings
%T UIMP-Aaman at SemEval-2025 Task11: Detecting Intensity and Emotion in Social Media and News
%A Aman - Parveen, Aisha
%Y Rosenthal, Sara
%Y Rosá, Aiala
%Y Ghosh, Debanjan
%Y Zampieri, Marcos
%S Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025)
%D 2025
%8 July
%I Association for Computational Linguistics
%C Vienna, Austria
%@ 979-8-89176-273-2
%F aman-parveen-2025-uimp
%X This paper presents our participation in SemEval task 11, which consists of emotion recognition in sentences written in multiple languages. We use in-context learning and fine-tuning methods to teach LLMs how to predict labels for Track A, Track B and Track C. The best results depends on track and language predicted.
%U https://aclanthology.org/2025.semeval-1.47/
%P 331-335
Markdown (Informal)
[UIMP-Aaman at SemEval-2025 Task11: Detecting Intensity and Emotion in Social Media and News](https://aclanthology.org/2025.semeval-1.47/) (Aman - Parveen, SemEval 2025)
ACL