Vision-Language Pre-training (VLP) has advanced the performance of many
...
Recent transformer language models achieve outstanding results in many
n...
Active Learning (AL) is a powerful tool for learning with less labeled d...
Multilingual pre-trained language models perform remarkably well on
cros...
One of the most important factors that contribute to the success of a ma...
Deep learning-based Natural Language Processing methods, especially
tran...
The adoption of Transformer-based models in natural language processing ...
This paper presents our approach for SwissText KONVENS 2020 shared t...
We propose an automated image selection system to assist photo editors i...
In this paper, we propose a new approach to learn multimodal multilingua...
In this work, we introduce Cluster-Based Active Learning, a novel framew...
Privacy policies are the primary channel through which companies inform ...
Classification of social media data is an important approach in understa...
We propose a novel, semi-supervised approach towards domain taxonomy
ind...
We propose a simple, yet effective, approach towards inducing multilingu...
This paper introduces a neural model for concept-to-text generation that...
Recently, there has been a lot of effort to represent words in continuou...
Generating a novel textual description of an image is an interesting pro...
Generating a novel textual description of an image is an interesting pro...
The bag-of-words (BOW) model is the common approach for classifying
docu...
Recent works on word representations mostly rely on predictive models.
D...