This collection includes model weights (BERT-based), fine-tuned in a multi-task setting on 10 heterogeneous stance detection datasets. For more information, please refer to the paper and the GitHub repository linked in the paper. DISCLAIMER: The user acknowledges and agrees that the data is provided on an “as-is” basis and that the licensor makes no representations or warranties of any kind
International audienceNumerous domains have interests in studying the viewpoints expressed online, b...
This repository contains trained models for the multiftu segmentation pipeline. The initial trained ...
Attribution of attention from observable body posture is plausible, providing additional information...
Stance detection is a Natural Language Processing task that can detect if the input text is in favou...
This paper presents two self-contained tutorials on stance detection in Twitter data using BERT fine...
Effective representation learning is an essential building block for achieving many natural language...
Stance detection deals with identifying an author’s stance towards a target. Most existing stance de...
Stance detection is a Natural Language Processing task that aims to detect the stance (support, agre...
This dataset contains the gait parameter data generated from the simulation of human gait models wit...
Stance detection is one of the promising areas of computational linguistics, the task of which is to...
We present the IUCL system, based on supervised learning, for the shared task on stance detection. O...
In this position statement, we wish to contribute to the discussion about how to assess quality and ...
Our goal is to evaluate the usefulness of unsupervised representation learning techniques for detect...
We present a new challenging stance detection dataset, called Will-They-Won’t-They (WT--WT), which c...
Balance ability is one of the important factors in measuring human physical fitness and a common ind...
International audienceNumerous domains have interests in studying the viewpoints expressed online, b...
This repository contains trained models for the multiftu segmentation pipeline. The initial trained ...
Attribution of attention from observable body posture is plausible, providing additional information...
Stance detection is a Natural Language Processing task that can detect if the input text is in favou...
This paper presents two self-contained tutorials on stance detection in Twitter data using BERT fine...
Effective representation learning is an essential building block for achieving many natural language...
Stance detection deals with identifying an author’s stance towards a target. Most existing stance de...
Stance detection is a Natural Language Processing task that aims to detect the stance (support, agre...
This dataset contains the gait parameter data generated from the simulation of human gait models wit...
Stance detection is one of the promising areas of computational linguistics, the task of which is to...
We present the IUCL system, based on supervised learning, for the shared task on stance detection. O...
In this position statement, we wish to contribute to the discussion about how to assess quality and ...
Our goal is to evaluate the usefulness of unsupervised representation learning techniques for detect...
We present a new challenging stance detection dataset, called Will-They-Won’t-They (WT--WT), which c...
Balance ability is one of the important factors in measuring human physical fitness and a common ind...
International audienceNumerous domains have interests in studying the viewpoints expressed online, b...
This repository contains trained models for the multiftu segmentation pipeline. The initial trained ...
Attribution of attention from observable body posture is plausible, providing additional information...