BERT models for Arabic text classification: a systematic review
AS Alammary - Applied Sciences, 2022 - mdpi.com
Bidirectional Encoder Representations from Transformers (BERT) has gained increasing
attention from researchers and practitioners as it has proven to be an invaluable technique …
attention from researchers and practitioners as it has proven to be an invaluable technique …
A comprehensive survey on Arabic sarcasm detection: approaches, challenges and future trends
A Rahma, SS Azab, A Mohammed - IEEE Access, 2023 - ieeexplore.ieee.org
On social media platforms, it is essential to express one's thoughts, opinions, and reviews.
One of the most widely used linguistic forms to criticize or express a person's ideas with …
One of the most widely used linguistic forms to criticize or express a person's ideas with …
Overview of the WANLP 2021 shared task on sarcasm and sentiment detection in Arabic
This paper provides an overview of the WANLP 2021 shared task on sarcasm and sentiment
detection in Arabic. The shared task has two subtasks: sarcasm detection (subtask 1) and …
detection in Arabic. The shared task has two subtasks: sarcasm detection (subtask 1) and …
LAraBench: Benchmarking Arabic AI with Large Language Models
Recent advancements in Large Language Models (LLMs) have significantly influenced the
landscape of language and speech research. Despite this progress, these models lack …
landscape of language and speech research. Despite this progress, these models lack …
Larabench: Benchmarking arabic ai with large language models
Abstract Recent advancements in Large Language Models (LLMs) have significantly
influenced the landscape of language and speech research. Despite this progress, these …
influenced the landscape of language and speech research. Despite this progress, these …
[HTML][HTML] Arabic sarcasm detection: An enhanced fine-tuned language model approach
Sarcasm is a complex linguistic phenomenon involving humor, criticism, or phrases that
convey the opposite meaning, mask true feelings, and play pivotal roles in various aspects …
convey the opposite meaning, mask true feelings, and play pivotal roles in various aspects …
Sarcasm detection is way too easy! an empirical comparison of human and machine sarcasm detection
Recently, author-annotated sarcasm datasets, which focus on intended, rather than
perceived sarcasm, have been introduced. Although datasets collected using first-party …
perceived sarcasm, have been introduced. Although datasets collected using first-party …
Rethinking of BERT sentence embedding for text classification
Text classification is a fundamental task in NLP that is used in several real-life tasks and
applications. Large pre-trained language models such as BERT achieve state-of-the-art …
applications. Large pre-trained language models such as BERT achieve state-of-the-art …
A comprehensive review on transformers models for text classification
R Kora, A Mohammed - 2023 International Mobile, Intelligent …, 2023 - ieeexplore.ieee.org
The rapid progress in deep learning has propelled transformer-based models to the
forefront, establishing them as leading solutions for a multiple NLP tasks. These tasks span …
forefront, establishing them as leading solutions for a multiple NLP tasks. These tasks span …
Comprehensive Study of Arabic Satirical Article Classification
A well-known issue for social media sites consists of the hazy boundaries between
malicious false news and protected speech satire. In addition to the protective measures that …
malicious false news and protected speech satire. In addition to the protective measures that …