A survey on arabic named entity recognition: Past, recent advances, and future trends
As more and more Arabic texts emerged on the Internet, extracting important information
from these Arabic texts is especially useful. As a fundamental technology, Named entity …
from these Arabic texts is especially useful. As a fundamental technology, Named entity …
A survey on the state-of-the-art machine learning models in the context of NLP
KJS inside pages October 2016.indd Page 1 Kuwait J. Sci. 43 (4) pp. 95-113, 2016 A survey on
the state-of-the-art machine learning models in the context of NLP Wahab Khan1,*, Ali Daud2,1 …
the state-of-the-art machine learning models in the context of NLP Wahab Khan1,*, Ali Daud2,1 …
The interplay of variant, size, and task type in Arabic pre-trained language models
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 …
types in Arabic pre-trained language models. To do so, we build three pre-trained language …
Jais and jais-chat: Arabic-centric foundation and instruction-tuned open generative large language models
We introduce Jais and Jais-chat, new state-of-the-art Arabic-centric foundation and
instruction-tuned open generative large language models (LLMs). The models are based on …
instruction-tuned open generative large language models (LLMs). The models are based on …
Adapting pre-trained language models to African languages via multilingual adaptive fine-tuning
Multilingual pre-trained language models (PLMs) have demonstrated impressive
performance on several downstream tasks for both high-resourced and low-resourced …
performance on several downstream tasks for both high-resourced and low-resourced …
CAMeL tools: An open source python toolkit for Arabic natural language processing
Abstract We present CAMeL Tools, a collection of open-source tools for Arabic natural
language processing in Python. CAMeL Tools currently provides utilities for pre-processing …
language processing in Python. CAMeL Tools currently provides utilities for pre-processing …
Having beer after prayer? measuring cultural bias in large language models
As the reach of large language models (LMs) expands globally, their ability to cater to
diverse cultural contexts becomes crucial. Despite advancements in multilingual …
diverse cultural contexts becomes crucial. Despite advancements in multilingual …
AraELECTRA: Pre-training text discriminators for Arabic language understanding
Advances in English language representation enabled a more sample-efficient pre-training
task by Efficiently Learning an Encoder that Classifies Token Replacements Accurately …
task by Efficiently Learning an Encoder that Classifies Token Replacements Accurately …
Wojood: Nested arabic named entity corpus and recognition using bert
This paper presents Wojood, a corpus for Arabic nested Named Entity Recognition (NER).
Nested entities occur when one entity mention is embedded inside another entity mention …
Nested entities occur when one entity mention is embedded inside another entity mention …
A survey of arabic named entity recognition and classification
K Shaalan - Computational Linguistics, 2014 - direct.mit.edu
As more and more Arabic textual information becomes available through the Web in homes
and businesses, via Internet and Intranet services, there is an urgent need for technologies …
and businesses, via Internet and Intranet services, there is an urgent need for technologies …