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Papers
The Phonetic Bases of Vocal Expressed Emotion: Natural versus Acted
INTERSPEECH 2020
Multi-Modal Attention for Speech Emotion Recognition
INTERSPEECH 2020
Experiencers, Stimuli, or Targets: Which Semantic Roles Enable Machine Learning to Infer the Emotions?
COLING 2020
HiTrans: A Transformer-Based Context- and Speaker-Sensitive Model for Emotion Detection in Conversations
COLING 2020
Creation of Corpus and analysis in Code-Mixed Kannada-English Twitter data for Emotion Prediction
COLING 2020
A Comprehensive Analysis of Preprocessing for Word Representation Learning in Affective Tasks
ACL 2020
Empirical Interpretation of Speech Emotion Perception with Attention Based Model for Speech Emotion Recognition
INTERSPEECH 2020
SCIA at SemEval-2019 Task 3: Sentiment Analysis in Textual Conversations Using Deep Learning
SEMEVAL 2019
MILAB at SemEval-2019 Task 3: Multi-View Turn-by-Turn Model for Context-Aware Sentiment Analysis
SEMEVAL 2019
Self-Attention for Speech Emotion Recognition
INTERSPEECH 2019
CycleEmotionGAN: Emotional Semantic Consistency Preserved CycleGAN for Adapting Image Emotions
AAAI 2019
DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation
EMNLP 2019
ntuer at SemEval-2019 Task 3: Emotion Classification with Word and Sentence Representations in RCNN
SEMEVAL 2019
DENS: A Dataset for Multi-class Emotion Analysis
IJCNLP 2019