A Review on Neural Network Question Answering Systems

Abstract

In recent years neural networks (NN) are being used increasingly on Question Answering (QA) systems and they seem to be successful in addressing different issues and challenges that these systems exhibit. This paper presents a review to summarize the state of the art in question answering systems implemented using neural networks. It identifies the main research topics and considers the most relevant research challenges. Furthermore, it analyzes contributions, limitations, evaluation techniques, and directions proposed for future research.