@inproceedings{maheshwari-varma-2022-ensemble,
title = "An Ensemble Approach to Detect Emotions at an Essay Level",
author = "Maheshwari, Himanshu and
Varma, Vasudeva",
editor = "Barnes, Jeremy and
De Clercq, Orph{\'e}e and
Barriere, Valentin and
Tafreshi, Shabnam and
Alqahtani, Sawsan and
Sedoc, Jo{\~a}o and
Klinger, Roman and
Balahur, Alexandra",
booktitle = "Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment {\&} Social Media Analysis",
month = may,
year = "2022",
address = "Dublin, Ireland",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.wassa-1.30",
doi = "10.18653/v1/2022.wassa-1.30",
pages = "276--279",
abstract = "This paper describes our system (IREL, reffered as himanshu.1007 on Codalab) for Shared Task on Empathy Detection, Emotion Classification, and Personality Detection at 12th Workshop on Computational Approaches to Subjectivity, Sentiment {\&} Social Media Analysis at ACL 2022. We participated in track 2 for predicting emotion at the essay level. We propose an ensemble approach that leverages the linguistic knowledge of the RoBERTa, BART-large, and RoBERTa model finetuned on the GoEmotions dataset. Each brings in its unique advantage, as we discuss in the paper. Our proposed system achieved a Macro F1 score of 0.585 and ranked one out of thirteen teams",
}
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%0 Conference Proceedings
%T An Ensemble Approach to Detect Emotions at an Essay Level
%A Maheshwari, Himanshu
%A Varma, Vasudeva
%Y Barnes, Jeremy
%Y De Clercq, Orphée
%Y Barriere, Valentin
%Y Tafreshi, Shabnam
%Y Alqahtani, Sawsan
%Y Sedoc, João
%Y Klinger, Roman
%Y Balahur, Alexandra
%S Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis
%D 2022
%8 May
%I Association for Computational Linguistics
%C Dublin, Ireland
%F maheshwari-varma-2022-ensemble
%X This paper describes our system (IREL, reffered as himanshu.1007 on Codalab) for Shared Task on Empathy Detection, Emotion Classification, and Personality Detection at 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis at ACL 2022. We participated in track 2 for predicting emotion at the essay level. We propose an ensemble approach that leverages the linguistic knowledge of the RoBERTa, BART-large, and RoBERTa model finetuned on the GoEmotions dataset. Each brings in its unique advantage, as we discuss in the paper. Our proposed system achieved a Macro F1 score of 0.585 and ranked one out of thirteen teams
%R 10.18653/v1/2022.wassa-1.30
%U https://aclanthology.org/2022.wassa-1.30
%U https://doi.org/10.18653/v1/2022.wassa-1.30
%P 276-279
Markdown (Informal)
[An Ensemble Approach to Detect Emotions at an Essay Level](https://aclanthology.org/2022.wassa-1.30) (Maheshwari & Varma, WASSA 2022)
ACL
- Himanshu Maheshwari and Vasudeva Varma. 2022. An Ensemble Approach to Detect Emotions at an Essay Level. In Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis, pages 276–279, Dublin, Ireland. Association for Computational Linguistics.