activity
20172020
most citedA Transformer-based joint-encoding for Emotion Recognition and Sentiment Analysis

105 citations · 132 across the 5 of their papers we have counts for

collaborators

5 papers

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.CV2019

Modulated Self-attention Convolutional Network for VQA

Jean-Benoit Delbrouck, Antoine Maiorca, Nathan Hubens +1

As new data-sets for real-world visual reasoning and compositional question answering are emerging, it might be needed to use the visual feature extraction as a end-to-end process…

cs.CL201727 cited

Multimodal Compact Bilinear Pooling for Multimodal Neural Machine Translation

Jean-Benoit Delbrouck, Stephane Dupont

In state-of-the-art Neural Machine Translation, an attention mechanism is used during decoding to enhance the translation. At every step, the decoder uses this mechanism to focus o…