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Affective Computing

629 directly classified papers

Papers per year

Papers

DLJUST at SemEval-2021 Task 7: Hahackathon: Linking Humor and Offense ACL 2021
Sexism in the Judiciary: The Importance of Bias Definition in NLP and In Our Courts IJCNLP 2021
UMUTeam at SemEval-2021 Task 7: Detecting and Rating Humor and Offense with Linguistic Features and Word Embeddings IJCNLP 2021
Effects of Communication Channels and Actor’s Gender on Emotion Identification by Native Mandarin Speakers INTERSPEECH 2020
Learning Visual Emotion Representations From Web Data CVPR 2020
Empathy-driven Arabic Conversational Chatbot COLING 2020
Dimensional Emotion Prediction Based on Interactive Context in Conversation INTERSPEECH 2020
Reactive Supervision: A New Method for Collecting Sarcasm Data EMNLP 2020
EmoTag1200: Understanding the Association between Emojis and Emotions EMNLP 2020
Modeling Subjective Assessments of Guilt in Newspaper Crime Narratives EMNLP 2020
Learnable Spectro-Temporal Receptive Fields for Robust Voice Type Discrimination INTERSPEECH 2020
Cross-Linguistic Perception of Utterances with Willingness and Reluctance in Mandarin by Korean L2 Learners INTERSPEECH 2020
A Symmetric Local Search Network for Emotion-Cause Pair Extraction COLING 2020
Neural Sign Language Synthesis: Words Are Our Glosses WACV 2020
Differences in Gradient Emotion Perception: Human vs. Alexa Voices INTERSPEECH 2020
Modality-Transferable Emotion Embeddings for Low-Resource Multimodal Emotion Recognition AACL 2020
Empirical Interpretation of Speech Emotion Perception with Attention Based Model for Speech Emotion Recognition INTERSPEECH 2020
JCT at SemEval-2020 Task 12: Offensive Language Detection in Tweets Using Preprocessing Methods, Character and Word N-grams SEMEVAL 2020
Keeping Up Appearances: Computational Modeling of Face Acts in Persuasion Oriented Discussions EMNLP 2020
CancerEmo: A Dataset for Fine-Grained Emotion Detection EMNLP 2020
FERNet: Fine-grained Extraction and Reasoning Network for Emotion Recognition in Dialogues AACL 2020
Automatic Prediction of Confidence Level from Children’s Oral Reading Recordings INTERSPEECH 2020
Conversational Emotion Recognition Using Self-Attention Mechanisms and Graph Neural Networks INTERSPEECH 2020
An Efficient Temporal Modeling Approach for Speech Emotion Recognition by Mapping Varied Duration Sentences into Fixed Number of Chunks INTERSPEECH 2020
Exploring Text and Audio Embeddings for Multi-Dimension Elderly Emotion Recognition INTERSPEECH 2020