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.

自然语言处理（NLP）旨在通过计算机科学领域的技术来分析文本，适用于医疗、商业和教育领域的应用。本文回顾了近期在教育领域解决问题方面的 NLP 的最新进展，介绍相关背景，提出 NLP 在教育领域的分类体系，并基于该体系讨论任务定义、挑战以及相应技术。随后展示了该领域中的一些现有演示，并给出未来方向的结论。