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MasonTigers at SemEval-2024 Task 10: Emotion Discovery and Flip Reasoning in Conversation with Ensemble of Transformers and Prompting

arXiv 2407.00581 ↗First posted 30 Jun 2024cs.CLcited by 0

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Abstract (arXiv)

In this paper, we present MasonTigers' participation in SemEval-2024 Task 10, a shared task aimed at identifying emotions and understanding the rationale behind their flips within monolingual English and Hindi-English code-mixed dialogues. This task comprises three distinct subtasks - emotion recognition in conversation for Hindi-English code-mixed dialogues, emotion flip reasoning for Hindi-English code-mixed dialogues, and emotion flip reasoning for English dialogues. Our team, MasonTigers, contributed to each subtask, focusing on developing methods for accurate emotion recognition and reasoning. By leveraging our approaches, we attained impressive F1-scores of 0.78 for the first task and 0.79 for both the second and third tasks. This performance not only underscores the effectiveness of our methods across different aspects of the task but also secured us the top rank in the first and third subtasks, and the 2nd rank in the second subtask. Through extensive experimentation and analysis, we provide insights into our system's performance and contributions to each subtask.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 22 of its 45 references that are in the map. First posted on arXiv 30 Jun 2024.

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References · 22

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10 more
  1. 2021Multimodal Emotion-Cause Pair Extraction in Conversationscited by 30
  2. 2020BiERU: Bidirectional Emotional Recurrent Unit for Conversational Sentiment Analysiscited by 28
  3. 2021Hybrid Curriculum Learning for Emotion Recognition in Conversationcited by 25
  4. 2021Discovering Emotion and Reasoning its Flip in Multi-Party Conversations using Masked Memory Network and Transformercited by 14
  5. 2021Towards Emotion Recognition in Hindi-English Code-Mixed Data: A Transformer Based Approachcited by 8
  6. 2023SentMix-3L: A Bangla-English-Hindi Code-Mixed Dataset for Sentiment Analysiscited by 7
  7. 2023OffMix-3L: A Novel Code-Mixed Dataset in Bangla-English-Hindi for Offensive Language Identificationcited by 5
  8. 2023Emotion Flip Reasoning in Multiparty Conversationscited by 4
  9. 2024MasonPerplexity at ClimateActivism 2024: Integrating Advanced Ensemble Techniques and Data Augmentation for Climate Activism Stance and Hate Event Identificationcited by 3
  10. 2024MasonTigers@LT-EDI-2024: An Ensemble Approach Towards Detecting Homophobia and Transphobia in Social Media Commentscited by 2

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