Natural Language Processing (NLP) aims to analyze the text via techniques in the computer science field. It serves the applications in healthcare, commerce, and education domains. Particularly, NLP has been applied to the education domain to help teaching and learning. In this survey, we review recent advances in NLP with a focus on solving problems related to the education domain. In detail, we begin with introducing the relevant background. Then, we present the taxonomy of NLP in the education domain. Next, we illustrate the task definition, challenges, and corresponding techniques based on the above taxonomy. After that, we showcase some off-the-shelf demonstrations in this domain and conclude with future directions.

翻译：自然语言处理（NLP）旨在通过计算机科学技术对文本进行分析，并服务于医疗、商业及教育等多个领域的应用。特别地，NLP已被应用于教育领域以辅助教学与学习。本综述聚焦于NLP在教育领域问题求解中的最新进展。具体而言，我们首先介绍相关背景，随后提出NLP在教育领域的分类体系。基于该分类体系，我们进一步阐述任务定义、挑战及相应技术。最后，我们展示该领域若干现成应用案例，并总结未来发展方向。