Relation Extraction (RE) is a fundamental task of information extraction, which has attracted
a large amount of research attention. Previous studies focus on extracting the relations …

Abstract The Holy Quran and Hadith are the two main sources of legislation and guidelines
for Muslims to shape their lives. The daily activities, sayings, and deeds of the Holy Prophet …

In this paper, we propose to build a morpho-semantic knowledge graph from Arabic
vocalized corpora. Our work focuses on classical Arabic as it has not been deeply …

Text Mining is a set of techniques that analyzes large masses of data, extract relations that
are unknown beforehand, and provide solutions to help decision-making. Text mining had …

This article presents a literature review of computer-science-related research applied on
hadith, a kind of Arabic narration which appeared in the 7th century. We study and compare …

Computational linguistic and natural language processing automation tasks require text
annotated with tags that represent the desired output of the task. The annotation tags serve …

Rule-based techniques to extract relational entities from documents allow users to specify
desired entities with natural language questions, finite state automata, regular expressions …

This paper examines the roles of learning styles and models of teaching within a data
mining educational program designed for undergraduate, non-computer science college …

The rich nature of Arabic morphology makes morphological analysis key for Arabic natural
language processing applications. Arabic morphological analyzers return several …

Rule-based techniques and tools to extract entities and relational entities from documents
allow users to specify desired entities using natural language questions, finite state …