Information-demanding question answering system

Abstract

Natural language question answering (QA) systems that aim to find an accurate answer to a given question have the power to revolutionize computer applications. This paper presents an approach to QA system in which the application not only aims to find a suitable answer to a question but also tries to bring the user-computer interaction closer to human-human interaction through a casual conversation or "chat" with the user. Experimental results are presented showing how human-like computer behavior could improve a QA system.