LinguisTech at SemEval-2024 Task 10: Emotion Discovery and Reasoning its Flip in Conversation

Mihaela Alexandru, Călina Ciocoiu, Ioana Măniga, Octavian Ungureanu, Daniela Gîfu, Diana Trandăbăț


Abstract
The “Emotion Discovery and Reasoning Its Flip in Conversation” task at the SemEval 2024 competition focuses on the automatic recognition of emotion flips, triggered within multi-party textual conversations. This paper proposes a novel approach that draws a parallel between a mixed strategy and a comparative strategy, contrasting a Rule-Based Function with Named Entity Recognition (NER)—an approach that shows promise in understanding speaker-specific emotional dynamics. Furthermore, this method surpasses the performance of both DistilBERT and RoBERTa models, demonstrating competitive effectiveness in detecting emotion flips triggered in multi-party textual conversations, achieving a 70% F1-score. This system was ranked 6th in the SemEval 2024 competition for Subtask 3.
Anthology ID:
2024.semeval-1.64
Volume:
Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)
Month:
June
Year:
2024
Address:
Mexico City, Mexico
Editors:
Atul Kr. Ojha, A. Seza Doğruöz, Harish Tayyar Madabushi, Giovanni Da San Martino, Sara Rosenthal, Aiala Rosá
Venue:
SemEval
SIG:
SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
412–419
Language:
URL:
https://aclanthology.org/2024.semeval-1.64
DOI:
Bibkey:
Cite (ACL):
Mihaela Alexandru, Călina Ciocoiu, Ioana Măniga, Octavian Ungureanu, Daniela Gîfu, and Diana Trandăbăț. 2024. LinguisTech at SemEval-2024 Task 10: Emotion Discovery and Reasoning its Flip in Conversation. In Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024), pages 412–419, Mexico City, Mexico. Association for Computational Linguistics.
Cite (Informal):
LinguisTech at SemEval-2024 Task 10: Emotion Discovery and Reasoning its Flip in Conversation (Alexandru et al., SemEval 2024)
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PDF:
https://preview.aclanthology.org/ingestion-checklist/2024.semeval-1.64.pdf
Supplementary material:
 2024.semeval-1.64.SupplementaryMaterial.txt