Automated Question Generation and Question Answering

Introduction

Asking questions plays a vital role for both the growth of human beings and the improvement of artificial intelligent systems. As a dual task of question answering, question generation based on a text passage and a given answer has attracted much attention in recent years. One of the key applications of question generation is to automatically produce question-answer pairs to enhance machine reading comprehension systems. Another application is generating practice exercises and assessments for educational purposes. Besides, question generation is also important in conversational systems and chatbots such as Siri, Cortana, Alexa and Google Assistant, helping them to kick-start and continue a conversation with human users

This project aims to develop efficient algorithms and techniques for question generation and question answering.

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