Pre-trained language models (LMs) are currently integral to many natural language processing systems. Although multilingual LMs were also introduced to serve many …
In this paper, we explore the effects of language variants, data sizes, and fine-tuning task types in Arabic pre-trained language models. To do so, we build three pre-trained language …
Y HaCohen-Kerner - Expert Systems with Applications, 2022 - Elsevier
Author profiling from text documents has become a popular task in latest years, in natural language applications. Author profiling is important for various domains such as advertising …
We describe findings of the third Nuanced Arabic Dialect Identification Shared Task (NADI 2022). NADI aims at advancing state of the art Arabic NLP, including on Arabic dialects. It …
In this paper, we present two resources that were created as part of the Multi Arabic Dialect Applications and Resources (MADAR) project. The first is a large parallel corpus of 25 …
YT Cao, H Daumé III - arXiv preprint arXiv:1910.13913, 2019 - arxiv.org
Correctly resolving textual mentions of people fundamentally entails making inferences about those people. Such inferences raise the risk of systemic biases in coreference …
In this paper, we present the results and findings of the MADAR Shared Task on Arabic Fine- Grained Dialect Identification. This shared task was organized as part of The Fourth Arabic …
THE TERM NATURAL language refers to any system of symbolic communication (spoken, signed, or written) that has evolved naturally in humans without intentional human planning …
YT Cao, H Daumé III - Computational Linguistics, 2021 - aclanthology.org
Correctly resolving textual mentions of people fundamentally entails making inferences about those people. Such inferences raise the risk of systematic biases in coreference …