Self-supervised learning (SSL) is at the origin of unprecedented improve...
Pre-trained transformer language models (LMs) have in recent years becom...
The gap between speech and text modalities is a major challenge in
speec...
With the increase in computation power and the development of new
state-...
Adapter modules were recently introduced as an efficient alternative to
...
Recent studies on the analysis of the multilingual representations focus...
Self-Supervised Learning (SSL) using huge unlabeled data has been
succes...
We introduce dual-decoder Transformer, a new model architecture that joi...
Document indexing is a key component for efficient information retrieval...
Language models have become a key step to achieve state-of-the-art resul...
In this paper, we present our submission for the English to Czech Text
T...
In this article, we tackle the issue of the limited quantity of manually...
In Word Sense Disambiguation (WSD), the predominant approach generally
i...
Machine translation (MT) is the process of translating text written in a...
In this paper, we explore the usage of Word Embedding semantic resources...
This paper is a deep investigation of cross-language plagiarism detectio...
This article compares four probabilistic algorithms (global algorithms) ...
We present our submitted systems for Semantic Textual Similarity (STS) T...