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20172024
most citedA Transformer-based joint-encoding for Emotion Recognition and Sentiment Analysis

105 citations · 244 across the 11 of their papers we have counts for

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9 papers · 1 filter

cs.CL20245 cited

Overview of the First Shared Task on Clinical Text Generation: RRG24 and "Discharge Me!"

Justin Xu, Zhihong Chen, Andrew Johnston +9

Recent developments in natural language generation have tremendous implications for healthcare. For instance, state-of-the-art systems could automate the generation of sections in…

cs.CL20224 cited

Improving the Factual Correctness of Radiology Report Generation with Semantic Rewards

Jean-Benoit Delbrouck, Pierre Chambon, Christian Bluethgen +3

Neural image-to-text radiology report generation systems offer the potential to improve radiology reporting by reducing the repetitive process of report drafting and identifying po…

cs.CL2020

Modulated Fusion using Transformer for Linguistic-Acoustic Emotion Recognition

Jean-Benoit Delbrouck, Noé Tits, Stéphane Dupont

This paper aims to bring a new lightweight yet powerful solution for the task of Emotion Recognition and Sentiment Analysis. Our motivation is to propose two architectures based on…

cs.CL2020105 cited

A Transformer-based joint-encoding for Emotion Recognition and Sentiment Analysis

Jean-Benoit Delbrouck, Noé Tits, Mathilde Brousmiche +1

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…

cs.CL2019

Can adversarial training learn image captioning ?

Jean-Benoit Delbrouck, Bastien Vanderplaetse, Stéphane Dupont

Recently, generative adversarial networks (GAN) have gathered a lot of interest. Their efficiency in generating unseen samples of high quality, especially images, has improved over…

cs.CL20192 cited

Adversarial reconstruction for Multi-modal Machine Translation

Jean-Benoit Delbrouck, Stéphane Dupont

Even with the growing interest in problems at the intersection of Computer Vision and Natural Language, grounding (i.e. identifying) the components of a structured description in a…