References

• 2019HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case16,511 cited
• 2008IEMOCAP: interactive emotional dyadic motion capture database3,864 cited
• 2019MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations1,413 cited
• 2016Training deep networks for facial expression recognition with crowd-sourced label distribution925 cited
• 2011Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge760 cited
• 2018Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos493 cited
• 2018ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection464 cited
• 2023Dawn of the Transformer Era in Speech Emotion Recognition: Closing the Valence Gap410 cited
• 2020COSMIC: COmmonSense knowledge for eMotion Identification in Conversations389 cited
• 2021MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in Conversation338 cited
• 2022MM-DFN: Multimodal Dynamic Fusion Network for Emotion Recognition in Conversations267 cited
• 2021DialogXL: All-in-One XLNet for Multi-Party Conversation Emotion Recognition239 cited
• 2019BART216 cited
• 2022COGMEN: COntextualized GNN based Multimodal Emotion recognitioN