CARER: Contextualized Affect Representations for Emotion Recognition

Elvis Saravia, Hsien-Chi Toby Liu, Yen-Hao Huang, Junlin Wu, Yi-Shin Chen
2018 Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing  
Emotions are expressed in nuanced ways, which varies by collective or individual experiences, knowledge, and beliefs. Therefore, to understand emotion, as conveyed through text, a robust mechanism capable of capturing and modeling different linguistic nuances and phenomena is needed. We propose a semisupervised, graph-based algorithm to produce rich structural descriptors which serve as the building blocks for constructing contextualized affect representations from text. The pattern-based
more » ... entations are further enriched with word embeddings and evaluated through several emotion recognition tasks. Our experimental results demonstrate that the proposed method outperforms state-of-the-art techniques on emotion recognition tasks.
doi:10.18653/v1/d18-1404 dblp:conf/emnlp/SaraviaLHWC18 fatcat:k646kcqednegxnqxmcd2spdyum