Over the last couple of decades, community question‐answering sites (CQAs) have been a
topic of much academic interest. Scholars have often leveraged traditional machine learning …

Question answering (QA) systems provide a way of querying the information available in
various formats including, but not limited to, unstructured and structured data in natural …

This paper presents a comprehensive examination of how multimodal artificial intelligence
(AI) approaches are paving the way towards the realization of Artificial General Intelligence …

Fact verification has attracted a lot of attention in the machine learning and natural language
processing communities, as it is one of the key methods for detecting misinformation …

To be successful in real-world tasks, Reinforcement Learning (RL) needs to exploit the
compositional, relational, and hierarchical structure of the world, and learn to transfer it to the …

Abstract Background Question Answering (QA) systems enable users to retrieve exact
answers for questions posed in natural language. Objective This study aims at identifying …

Abstract The task of Question Answering (QA) has attracted significant research interest for a
long time. Its relevance to language understanding and knowledge retrieval tasks, along …

Machine Reading Comprehension (MRC) is a challenging task and hot topic in Natural
Language Processing. The goal of this field is to develop systems for answering the …

The problem of Question Answering (QA) has attracted significant research interest for long.
Its relevance to language understanding and knowledge retrieval tasks, along with the …

Background Due to the growing amount of COVID-19 research literature, medical experts,
clinical scientists, and researchers frequently struggle to stay up to date on the most recent …