This review presents a comprehensive exploration of hybrid and ensemble deep learning
models within Natural Language Processing (NLP), shedding light on their transformative …

Question answering, serving as one of important tasks in natural language processing,
enables machines to understand questions in natural language and answer the questions …

By virtue of being prevalently written in natural language (NL), requirements are prone to
various defects, eg, inconsistency and incompleteness. As such, requirements are frequently …

The dramatic expansion of modern linguistic research and enhanced accuracy of linguistic
analysis have become a reality due to the ability of artificial neural networks not only to learn …

Over the years, a growing number of semantic data repositories have been made available
on the web. However, this has created new challenges in exploiting these resources …

Over the recent years, a large number of knowledge graphs (KGs) have been developed to
store and present small and medium enterprises' data in the form of subject-predicate-object …

Cyber-Physical Systems (CPS), as a multi-dimensional complex system that connects the
physical world and the cyber world, has a strong demand for processing large amounts of …

Question Answering (QA) systems are increasingly essential in educational institutions,
enhancing both learning and administrative processes by providing quick and accurate …

Question answering (QA) systems are among the most important and rapidly developing
research topics in natural language processing (NLP). A reason, therefore, is that a QA …

With the development of computer science and technology, online education is gradually
accepted by more and more users, and has become one of the main teaching methods in …