12 citations · 30 across the 7 of their papers we have counts for
13 papers
Adapted Multimodal BERT with Layer-wise Fusion for Sentiment Analysis
Odysseas S. Chlapanis, Georgios Paraskevopoulos, Alexandros Potamianos
Multimodal learning pipelines have benefited from the success of pretrained language models. However, this comes at the cost of increased model parameters. In this work, we propose…
Extending Compositional Attention Networks for Social Reasoning in Videos
Christina Sartzetaki, Georgios Paraskevopoulos, Alexandros Potamianos
We propose a novel deep architecture for the task of reasoning about social interactions in videos. We leverage the multi-step reasoning capabilities of Compositional Attention Net…
MMLatch: Bottom-up Top-down Fusion for Multimodal Sentiment Analysis
Georgios Paraskevopoulos, Efthymios Georgiou, Alexandros Potamianos
Current deep learning approaches for multimodal fusion rely on bottom-up fusion of high and mid-level latent modality representations (late/mid fusion) or low level sensory inputs…
EmpBot: A T5-based Empathetic Chatbot focusing on Sentiments
Emmanouil Zaranis, Georgios Paraskevopoulos, Athanasios Katsamanis +1
In this paper, we introduce EmpBot: an end-to-end empathetic chatbot. Empathetic conversational agents should not only understand what is being discussed, but also acknowledge the…
UDALM: Unsupervised Domain Adaptation through Language Modeling
Constantinos Karouzos, Georgios Paraskevopoulos, Alexandros Potamianos
In this work we explore Unsupervised Domain Adaptation (UDA) of pretrained language models for downstream tasks. We introduce UDALM, a fine-tuning procedure, using a mixed classifi…
Unsupervised low-rank representations for speech emotion recognition
Georgios Paraskevopoulos, Efthymios Tzinis, Nikolaos Ellinas +2
We examine the use of linear and non-linear dimensionality reduction algorithms for extracting low-rank feature representations for speech emotion recognition. Two feature sets are…