Question answering is a subfield of information retrieval. It is a task of answering a question
posted in a natural language. A question answering system (QAS) may be considered a …

In the field of natural language processing (NLP), natural language understanding (NLU)
plays a critical role in transforming human languages into machine-interpretable formats …

The question-answering system (QAS) aims to produce a response to a query using
information from a text corpus. Arabic is a complex language. However, it has more than 450 …

Artificial intelligence-based question-answering (QA) systems can expedite the performance
of various tasks. These systems either read passages and answer questions given in natural …

The applications of artificial intelligence (AI) in our daily activities have helped us
accomplish our tasks more effectively and efficiently. With the advancement of computing …

Recently, a large number of automated applications are developed to improve the retrieval
of different types of knowledge. However, there are few automated applications of semantic …

In this paper, we propose a new approach for the Arabic question-answering system. This
approach is based on the automatic understanding of Arabic texts to convert them into …

The enormous increase of the amount of information available on the web creates the need
for systems like Question Answering to bridge the gap between general end users and the …

This paper presents a work in generating Weighted Vector for each Concept in Indonesian
Translation of Quran (ITQ). This task is done in aiming to provide a resource needed in …

Fatwa is considered one of the sensitive areas of Islamic finance. In Shari'ah-based
transactions, there are certain issues which require scholarly interpretation regarding their …