A Baseline Multimodal Approach to Emotion Recognition in Conversations
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arXiv
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| Format: | Preprint |
| Published: |
2026
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| _version_ | 1866912866695643136 |
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| author | Yeste, Víctor Rivas-Arévalo, Rodrigo |
| author_facet | Yeste, Víctor Rivas-Arévalo, Rodrigo |
| contents | We present a lightweight multimodal baseline for emotion recognition in conversations using the SemEval-2024 Task 3 dataset built from the sitcom Friends. The goal of this report is not to propose a novel state-of-the-art method, but to document an accessible reference implementation that combines (i) a transformer-based text classifier and (ii) a self-supervised speech representation model, with a simple late-fusion ensemble. We report the baseline setup and empirical results obtained under a limited training protocol, highlighting when multimodal fusion improves over unimodal models. This preprint is provided for transparency and to support future, more rigorous comparisons. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2602_00914 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | A Baseline Multimodal Approach to Emotion Recognition in Conversations Yeste, Víctor Rivas-Arévalo, Rodrigo Computation and Language Artificial Intelligence Computers and Society Sound Audio and Speech Processing I.2.7; I.2.6; J.4 We present a lightweight multimodal baseline for emotion recognition in conversations using the SemEval-2024 Task 3 dataset built from the sitcom Friends. The goal of this report is not to propose a novel state-of-the-art method, but to document an accessible reference implementation that combines (i) a transformer-based text classifier and (ii) a self-supervised speech representation model, with a simple late-fusion ensemble. We report the baseline setup and empirical results obtained under a limited training protocol, highlighting when multimodal fusion improves over unimodal models. This preprint is provided for transparency and to support future, more rigorous comparisons. |
| title | A Baseline Multimodal Approach to Emotion Recognition in Conversations |
| topic | Computation and Language Artificial Intelligence Computers and Society Sound Audio and Speech Processing I.2.7; I.2.6; J.4 |
| url | https://arxiv.org/abs/2602.00914 |