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affective computing

176 papers

Papers

Multi-Party Empathetic Dialogue Generation: A New Task for Dialog Systems ACL 2022 Neutral Utterances are Also Causes: Enhancing Conversational Causal Emotion Entailment with Social Commonsense Knowledge IJCAI 2022 Socially Intelligent Affective AI AAAI 2022 Transformer based ensemble for emotion detection ACL 2022 Tutorial on Multimodal Machine Learning NAACL 2022 Voice Puppetry with FastPitch Interspeech 2022 WASSA 2022 Shared Task: Predicting Empathy, Emotion and Personality in Reaction to News Stories ACL 2022 Affect-Aware Machine Learning Models for Deception Detection AAAI 2021 ArtEmis: Affective Language for Visual Art CVPR 2021 FakeFlow: Fake News Detection by Modeling the Flow of Affective Information EACL 2021 GASP: Gated Attention for Saliency Prediction IJCAI 2021 Happy Dance, Slow Clap: Using Reaction GIFs to Predict Induced Affect on Twitter ACL 2021 Infusing Multi-Source Knowledge with Heterogeneous Graph Neural Network for Emotional Conversation Generation AAAI 2021 Language that Captivates the Audience: Predicting Affective Ratings of TED Talks in a Multi-Label Classification Task EACL 2021 Multi-Branch Network for Cross-Subject EEG-based Emotion Recognition ACML 2021 Multi-modal Multi-label Emotion Recognition with Heterogeneous Hierarchical Message Passing AAAI 2021 MUSER: MUltimodal Stress detection using Emotion Recognition as an Auxiliary Task NAACL 2021 NICE: Neural Image Commenting with Empathy EMNLP 2021 Parametric Distributions to Model Numerical Emotion Labels Interspeech 2021 “So You Think You’re Funny?”: Rating the Humour Quotient in Standup Comedy EMNLP 2021 The Affective Growth of Computer Vision CVPR 2021 What Does Your Smile Mean? Jointly Detecting Multi-Modal Sarcasm and Sentiment Using Quantum Probability EMNLP 2021 CancerEmo: A Dataset for Fine-Grained Emotion Detection EMNLP 2020 Complex Emotional Intelligence Learning Using Deep Neural Networks (Student Abstract) AAAI 2020 Discriminating Cognitive Disequilibrium and Flow in Problem Solving: A Semi-Supervised Approach Using Involuntary Dynamic Behavioral Signals AAAI 2020