Accepted papers

• Context-Dependent Models for Predicting and Characterizing Facial Expressiveness. Victoria Lin, Jeffrey Girard, & Louis-Philippe Morency.
• Bidirectional Dilated LSTM with Attention for Fine-grained EmotionClassification in Tweets. Annika Marie Schoene, Alexander P Turner, & Nina Dethlefs.
• A Hierarchical Approach to Machine Emotional Intelligence. Hortense Fong, & Vineet Kumar.
• Complementary Fusion of Multi-Features and Multi-Modalities in Sentiment Analysis. Feiyang Chen, Ziqian Luo, Yanyan Xu, & Dengfeng Ke.

Accepted posters

• A Siamese Neural Network with Modified Distance Loss For Transfer Learning in Speech Emotion Recognition. Kexin Feng, & Theodora Chaspari.
• Attentive RNNs for Continuous-time Emotion Prediction in Music Clips. Sanga Chaki, Pranjal Doshi, Priyadarshi Patnaik, & Sourangshu Bhattacharya.
• Automatically Identifying Customer Needs with Attribute Sentiment Model. Jiaming Xu, Bo Tang, Xiao Liu, & Feiyu Xiong.
• A Deep Learning Approach Towards Multimodal Stress Detection. Cristian Paul Bara, Michalis Papakostas, & Rada Mihalcea.

Shared Task papers

• Semi-supervised Models via Data Augmentation for Classifying Interactive Affective Responses. Jiaao Chen, Yuwei Wu, & Diyi Yang
• Label Prediction using Deep Multi-Task Learning. Weizhao Xin, & Diana Inkpen
• Multi-modal Sentiment Analysis using Super Characters Method on Low-power CNN Accelerator Device. Baohua Sun, Lin Yang, Hao Sha, & Michael Lin .
• A Text Classification Using Fine-Tuned Word and Emotion Embedding. Jiwung Hyun, Byung-Chull Bae, &Yun-Gyung Cheong.
• Modeling Supportiveness and Disclosure in Conversational Social Media Text. Kartikey Pant, Tanvi Dadu & Radhika Mamidi.
• Contextual representation of self-disclosure and supportiveness in short text. Chandan Akiti, Sarah Rajtmajer, & Anna Squicciarini.