mlsanityData to 7 Oct 2026

Akan Cinematic Emotions (ACE): A Multimodal Multi-party Dataset for Emotion Recognition in Movie Dialogues

arXiv 2502.10973 ↗First posted 16 Feb 2025cs.CLcited by 6

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Abstract (arXiv)

In this paper, we introduce the Akan Conversation Emotion (ACE) dataset, the first multimodal emotion dialogue dataset for an African language, addressing the significant lack of resources for low-resource languages in emotion recognition research. ACE, developed for the Akan language, contains 385 emotion-labeled dialogues and 6,162 utterances across audio, visual, and textual modalities, along with word-level prosodic prominence annotations. The presence of prosodic labels in this dataset also makes it the first prosodically annotated African language dataset. We demonstrate the quality and utility of ACE through experiments using state-of-the-art emotion recognition methods, establishing solid baselines for future research. We hope ACE inspires further work on inclusive, linguistically and culturally diverse NLP resources.

Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 22 of its 50 references that are in the map. First posted on arXiv 16 Feb 2025.

Builds on

22 of 50 references.

References · 22

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10 more
  1. 2018EmotionLines: An Emotion Corpus of Multi-Party Conversationscited by 80
  2. 2020DialogXL: All-in-One XLNet for Multi-Party Conversation Emotion Recognitioncited by 78
  3. 2021EmoBERTa: Speaker-Aware Emotion Recognition in Conversation with RoBERTacited by 59
  4. 2022M3ED: Multi-modal Multi-scene Multi-label Emotional Dialogue Databasecited by 50
  5. 2022M2FNet: Multi-modal Fusion Network for Emotion Recognition in Conversationcited by 47
  6. 2019HiGRU: Hierarchical Gated Recurrent Units for Utterance-level Emotion Recognitioncited by 43
  7. 2019Massive vs. Curated Word Embeddings for Low-Resourced Languages. The Case of Yor`ub'a and Twicited by 33
  8. 2024Beyond Silent Letters: Amplifying LLMs in Emotion Recognition with Vocal Nuancescited by 27
  9. 2023Multimodal Multi-loss Fusion Network for Sentiment Analysiscited by 26
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 3; 2026: 3.

6 papers.

  1. 2025Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospectscited by 10
  2. 2025OmniVox: Zero-Shot Emotion Recognition with Omni-LLMscited by 7
  3. 2025Multi-Party Conversational Agents: A Surveycited by 6
  4. 2026Detecting Mental Manipulation in Speech via Synthetic Multi-Speaker Dialoguecited by 1
  5. 2026CultureMINE: Datasets and Methods for Improving the Cultural Capabilities of NLP Systemscited by 0
  6. 2026LongEmo: Towards Emotion Understanding and Reasoning in Long Videoscited by 0