Jean-Benoit Delbrouck author Noé Tits author Mathilde Brousmiche author Stéphane Dupont author 2020-jul text Association for Computational Linguistics Seattle, USA conference publication Understanding expressed sentiment and emotions are two crucial factors in human multimodal language. This paper describes a Transformer-based joint-encoding (TBJE) for the task of Emotion Recognition and Sentiment Analysis. In addition to use the Transformer architecture, our approach relies on a modular co-attention and a glimpse layer to jointly encode one or more modalities. The proposed solution has also been submitted to the ACL20: Second Grand-Challenge on Multimodal Language to be evaluated on the CMU-MOSEI dataset. The code to replicate the presented experiments is open-source . delbrouck-etal-2020-transformer https://www.aclweb.org/anthology/2020.challengehml-1.1 2020-jul 1 7