This survey reviews different research on question analysis, including other comparative
studies of question analysis approaches and an evaluation of the questions by different NLP …

Conversational AI is one of the most active research areas in AI, and it has gained more
attention from academia as well as industry. Given recent advancements in several …

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 …

A question-answering system (QAS) retrieves a relevant response to user queries. The
existing QASs are limited in performance in satisfying the users' intention. In recent times …

Answering non-factoid questions, especially why-questions, poses a challenge for
traditional question answering systems (QASs) that are predominantly designed for fact …

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 …

Abstract Factoid Question-Answering (QA) Systems were developed to provide an accurate
answer to a factoid question expressed in a natural language. The prime knowledge …

Abstract Knowledge graphs (KGs) are widely used to store and access information about
entities and their relationships. Given a query, the task of entity retrieval from a KG aims at …

The subfield of natural language processing (NLP) known as question answering (QA)
involves providing answers to questions posed in natural language. Answering “why” …

This paper explores the development and challenges of Arabic Question Answering
Systems (QAS), with a particular focus on addressing the linguistic nuances and data …