Deep learning has remarkably impacted several different scientific disciplines over the last
few years. For example, in image processing and analysis, deep learning algorithms were …

Text‐based question answering (QA) is a challenging task which aims at finding short
concrete answers for users' questions. This line of research has been widely studied with …

Coverage-based fault localization has been extensively studied in the literature due to its
effectiveness and lightweightness for real-world systems. However, existing techniques …

Artificial General Intelligence (AGI) is poised to revolutionize a variety of sectors, including
healthcare, finance, transportation, and education. Within healthcare, AGI is being utilized to …

Answer selection (AS) is a critical subtask of the open‐domain question answering (QA)
problem. The present paper proposes a method called RLAS‐BIABC for AS, which is …

We address the problem of detecting duplicate questions in forums, which is an important
step towards automating the process of answering new questions. As finding and annotating …

Artificial intelligent systems are changing every aspect of our daily life. In the past decades,
numerous approaches have been developed to characterize user behavior, in order to …

Ranking models are the main components of information retrieval systems. Several
approaches to ranking are based on traditional machine learning algorithms using a set of …

Question answering (QA) enables the system to answer questions automatically. In recent
years, much research has been done in this area. In most methods, question and answer …

Answer selection is an important research problem, with applications in many areas.
Previous deep learning based approaches for the task mainly adopt the Compare …