自然语言处理课程本科阶段实践化教学模式探索
Exploration of Practical Teaching Mode of Natural Language Processing Course in Undergraduate Stage

随着人工智能技术的不断发展，社会对人工智能方面的人才需求量持续上升，很多高校选择在计算机等专业的本科教育基础上开设人工智能类课程或单独开设本科人工智能专业。作为一门新兴学科，人工智能专业的学生在本科期间除了要进行大学本科的物理、高数等公共课程的学习外，还要进行神经网络、深度学习算法、数据挖掘技术、自然语言处理等专业课程的学习，每一门课程的学时是有限的且难度都很高。那么，如何兼顾理论知识与应用实践、如何从教学内容和形式上更好地培养学生的理论基础和应用能力，值得探索和实践。本文对国内外自然语言处理课程教学现状进行分析，并以沈阳城市学院人工智能专业自然语言人工智能处理课程教学实践为例，阐述课程教学的基本目标、教学内容及考核方式的安排和设计的基本思路和方法。
With the continuous development of artificial intelligence technology, the demand for artificial intelligence talents in society continues to rise. Many colleges and universities choose to offer artificial intelligence courses on the basis of undergraduate education in computer and other majors or offer undergraduate artificial intelligence majors alone. As an emerging discipline, students majoring in artificial intelligence should not only learn public courses such as physics and advanced mathematics, but also learn professional courses such as neural networks, deep learning algorithms, data mining technology and natural language processing. The class hours of each course are limited and the difficulty of the classes is high. So, how to give consideration to theoretical knowledge and application practice, and how to better cultivate students’ theoretical foundation and application ability from the teaching content and form are worth exploring and practicing. This paper analyzes the current situation of natural language processing teaching at home and abroad, and takes the teaching practice of natural language artificial intelligence processing course in artificial intelligence major of Shenyang City University as an example to illustrate the basic objectives of course teaching, the arrangement and design of teaching contents and assessment methods.