@inproceedings{nita-pais-2024-racai,
    title = "{RACAI} at {S}em{E}val-2024 Task 10: Combining algorithms for code-mixed Emotion Recognition in Conversation",
    author = "Niț{\u{a}}, Sara  and
      P{\u{a}}iș, Vasile",
    editor = {Ojha, Atul Kr.  and
      Do{\u{g}}ru{\"o}z, A. Seza  and
      Tayyar Madabushi, Harish  and
      Da San Martino, Giovanni  and
      Rosenthal, Sara  and
      Ros{\'a}, Aiala},
    booktitle = "Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)",
    month = jun,
    year = "2024",
    address = "Mexico City, Mexico",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2024.semeval-1.149/",
    doi = "10.18653/v1/2024.semeval-1.149",
    pages = "1032--1037",
    abstract = "Code-mixed emotion recognition constitutes a challenge for NLP research due to the text`s deviation from the traditional grammatical structure of the original languages. This paper describes the system submitted by the RACAI Team for the SemEval 2024 Task 10 - EDiReF subtasks 1: Emotion Recognition in Conversation (ERC) in Hindi-English code-mixed conversations. We propose a system that combines a transformer-based model with two simple neural networks."
}