An Ensemble Approach to Detect Emotions at an Essay Level

Himanshu Maheshwari, Vasudeva Varma


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
Anthology ID:
2022.wassa-1.30
Volume:
Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis
Month:
May
Year:
2022
Address:
Dublin, Ireland
Editors:
Jeremy Barnes, Orphée De Clercq, Valentin Barriere, Shabnam Tafreshi, Sawsan Alqahtani, João Sedoc, Roman Klinger, Alexandra Balahur
Venue:
WASSA
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
276–279
Language:
URL:
https://aclanthology.org/2022.wassa-1.30
DOI:
10.18653/v1/2022.wassa-1.30
Bibkey:
Cite (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.
Cite (Informal):
An Ensemble Approach to Detect Emotions at an Essay Level (Maheshwari & Varma, WASSA 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.wassa-1.30.pdf
Code
 him-mah10/an-ensemble-approach-to-detect-emotions-at-an-essay-level
Data
GoEmotions