VerbaNexAI Lab at SemEval-2024 Task 10: Emotion recognition and reasoning in mixed-coded conversations based on an NRC VAD approach

Santiago Garcia, Elizabeth Martinez, Juan Cuadrado, Juan Martinez-santos, Edwin Puertas


Abstract
This study introduces an innovative approach to emotion recognition and reasoning about emotional shifts in code-mixed conversations, leveraging the NRC VAD Lexicon and computational models such as Transformer and GRU. Our methodology systematically identifies and categorizes emotional triggers, employing Emotion Flip Reasoning (EFR) and Emotion Recognition in Conversation (ERC). Through experiments with the MELD and MaSaC datasets, we demonstrate the model’s precision in accurately identifying emotional shift triggers and classifying emotions, evidenced by a significant improvement in accuracy as shown by an increase in the F1 score when including VAD analysis. These results underscore the importance of incorporating complex emotional dimensions into conversation analysis, paving new pathways for understanding emotional dynamics in code-mixed texts.
Anthology ID:
2024.semeval-1.192
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:
1332–1338
Language:
URL:
https://aclanthology.org/2024.semeval-1.192
DOI:
Bibkey:
Cite (ACL):
Santiago Garcia, Elizabeth Martinez, Juan Cuadrado, Juan Martinez-santos, and Edwin Puertas. 2024. VerbaNexAI Lab at SemEval-2024 Task 10: Emotion recognition and reasoning in mixed-coded conversations based on an NRC VAD approach. In Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024), pages 1332–1338, Mexico City, Mexico. Association for Computational Linguistics.
Cite (Informal):
VerbaNexAI Lab at SemEval-2024 Task 10: Emotion recognition and reasoning in mixed-coded conversations based on an NRC VAD approach (Garcia et al., SemEval 2024)
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PDF:
https://preview.aclanthology.org/ingestion-checklist/2024.semeval-1.192.pdf
Supplementary material:
 2024.semeval-1.192.SupplementaryMaterial.zip
Supplementary material:
 2024.semeval-1.192.SupplementaryMaterial.txt