Team IITP-AINLPML at WASSA 2022: Empathy Detection, Emotion Classification and Personality Detection

Soumitra Ghosh, Dhirendra Maurya, Asif Ekbal, Pushpak Bhattacharyya


Abstract
Computational comprehension and identifying emotional components in language have been critical in enhancing human-computer connection in recent years. The WASSA 2022 Shared Task introduced four tracks and released a dataset of news stories: Track-1 for Empathy and Distress Prediction, Track-2 for Emotion classification, Track-3 for Personality prediction, and Track-4 for Interpersonal Reactivity Index prediction at the essay level. This paper describes our participation in the WASSA 2022 shared task on the tasks mentioned above. We developed multi-task deep learning methods to address Tracks 1 and 2 and machine learning models for Track 3 and 4. Our developed systems achieved average Pearson scores of 0.483, 0.05, and 0.08 for Track 1, 3, and 4, respectively, and a macro F1 score of 0.524 for Track 2 on the test set. We ranked 8th, 11th, 2nd and 2nd for tracks 1, 2, 3, and 4 respectively.
Anthology ID:
2022.wassa-1.26
Volume:
Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis
Month:
May
Year:
2022
Address:
Dublin, Ireland
Venue:
WASSA
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
255–260
Language:
URL:
https://aclanthology.org/2022.wassa-1.26
DOI:
10.18653/v1/2022.wassa-1.26
Bibkey:
Cite (ACL):
Soumitra Ghosh, Dhirendra Maurya, Asif Ekbal, and Pushpak Bhattacharyya. 2022. Team IITP-AINLPML at WASSA 2022: Empathy Detection, Emotion Classification and Personality Detection. In Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis, pages 255–260, Dublin, Ireland. Association for Computational Linguistics.
Cite (Informal):
Team IITP-AINLPML at WASSA 2022: Empathy Detection, Emotion Classification and Personality Detection (Ghosh et al., WASSA 2022)
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