SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Speaker-Guided Encoder-Decoder Framework for Emotion Recognition in Conversation
12 references·0 citing·33 second hop
Speaker-Guided Encoder-Decoder Framework for Emotion Recognition in Conversation (2022)Speaker-Guided Encoder-Decoder Framework …DialogXL: All-in-One XLNet for Multi-Party Conversation Emotion Recognition (2021)DialogXL: All-in-One XLNet fo…DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversations (2021)DialogueCRN: Contextual Reaso…HiTrans: A Transformer-Based Context- and Speaker-Sensitive Model for Emotion Detection in Conversations (2020)HiTrans: A Transformer-Based …COSMIC: COmmonSense knowledge for eMotion Identification in Conversations (2020)COSMIC: COmmonSense knowledge…Towards Discriminative Representation Learning for Speech Emotion Recognition (2019)Towards Discriminative Repres…RoBERTa: A Robustly Optimized BERT Pretraining Approach (2019)RoBERTa: A Robustly Optimized…MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations (2019)MELD: A Multimodal Multi-Part…HiGRU: Hierarchical Gated Recurrent Units for Utterance-level Emotion Recognition (2019)HiGRU: Hierarchical Gated Rec…DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation (2019)DialogueGCN: A Graph Convolut…ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection (2018)ICON: Interactive Conversatio…Emotional Inertia and Psychological Maladjustment (2010)Emotional Inertia and Psychol…IEMOCAP: interactive emotional dyadic motion capture database (2008)IEMOCAP: interactive emotiona…Society and the Adolescent Self-Image (1965)Book Review: Time Series Analysis: Forecasting and Control (1977)The CES-D Scale (1977)The relation between short-term emotion dynamics and psychological well-being: A meta-analysis. (2015)Why Do People Regulate Their Emotions? A Taxonomy of Motives in Emotion Regulation (2015)Mental disorders as networks of problems: a review of recent insights (2016)Coefficient Alpha and the Internal Structure of Tests (1951)The Hidden Dimension (1973)Affective Computing (1997)Speech emotion recognition using deep 1D & 2D CNN LSTM networks (2018)The chameleon effect: The perception–behavior link and social interaction. (1999)A review of affective computing: From unimodal analysis to multimodal fusion (2017)CTNet: Conversational Transformer Network for Emotion Recognition (2021)MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in Conversation (2021)Measuring emotion: The self-assessment manikin and the semantic differential (1994)A systematic review on affective computing: emotion models, databases, and recent advances (2022)Defending Against Neural Fake News (2019)LEGAL-BERT: The Muppets straight out of Law School (2020)On the Opportunities and Risks of Foundation Models (2021)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)End-to-End Multimodal Emotion Recognition Using Deep Neural Networks (2017)Past, Present, and Future: Conversational Emotion Recognition through Structural Modeling of Psychological Knowledge (2021)CoMPM: Context Modeling with Speaker’s Pre-trained Memory Tracking for Emotion Recognition in Conversation (2022)SMIN: Semi-Supervised Multi-Modal Interaction Network for Conversational Emotion Recognition (2022)Cognitive, social, and physiological determinants of emotional state. (1962)Dual-Processing Accounts of Reasoning, Judgment, and Social Cognition (2007)GraphCFC: A Directed Graph Based Cross-Modal Feature Complementation Approach for Multimodal Conversational Emotion Recognition (2023)MM-DFN: Multimodal Dynamic Fusion Network for Emotion Recognition in Conversations (2022)M2FNet: Multi-modal Fusion Network for Emotion Recognition in Conversation (2022)A Transformer-Based Model With Self-Distillation for Multimodal Emotion Recognition in Conversations (2023)Emotion recognition from unimodal to multimodal analysis: A review (2023)COGMEN: COntextualized GNN based Multimodal Emotion recognitioN (2022)Towards Interpretable Mental Health Analysis with Large Language Models (2023)
this work references cited by second hop

References

  • 2019RoBERTa: A Robustly Optimized BERT Pretraining Approach16,988 cited
  • 2008IEMOCAP: interactive emotional dyadic motion capture database3,864 cited
  • 2019MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations1,413 cited
  • 2019DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation763 cited
  • 2010Emotional Inertia and Psychological Maladjustment729 cited
  • 2018ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection464 cited
  • 2020COSMIC: COmmonSense knowledge for eMotion Identification in Conversations389 cited
  • 2021DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversations257 cited
  • 2021DialogXL: All-in-One XLNet for Multi-Party Conversation Emotion Recognition239 cited
  • 2020HiTrans: A Transformer-Based Context- and Speaker-Sensitive Model for Emotion Detection in Conversations93 cited
  • 2019HiGRU: Hierarchical Gated Recurrent Units for Utterance-level Emotion Recognition90 cited
  • 2019Towards Discriminative Representation Learning for Speech Emotion Recognition47 cited

Cited by

No citing works inside the corpus for this window.

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work