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 …

Due to the vast volumes of newly streamed data on the Internet and social media, the use of
sentiment analysis (SA) to extract information and analyze people's opinions has become a …

A large body of research work has proposed verification techniques for rumors spreading in
social media that mainly relied on subjective evidence, eg, propagation networks or user …

Person re-identification (ReID) based on heterogeneous data aims to search for the same
pedestrian from different modalities. The existing unsupervised heterogeneous ReID …

The advancement of machine learning and symbolic approaches have underscored their
strengths and weaknesses in Natural Language Processing (NLP). While machine learning …

Unsupervised domain adaptation methods aim to facilitate learning tasks in unlabeled target
domains using labeled information from related source domains. Recently, prompt-tuning …

In Natural Language Processing (NLP), one of the most important tasks is text-to-SQL
semantic parsing, which focuses on enabling users to interact with the database in a more …

Existing 2D image-based 3D model retrieval (IBMR) methods usually use the pseudo labels
as semantic guidance to reduce the domain-wise and class-wise feature distribution …

Owing to the linguistic richness of the Arabic language, which contains more than 6000
roots, building a reliable Arabic language model for Arabic speech recognition systems …

It is a universal phenomenon for patients who do not know which clinical department to
register in large general hospitals. Although triage nurses can help patients, due to the …