Combining Open-Source with Research to Re-engineer a Hands-on Introductory NLP Course

Nitin Madnani, B. Dorr
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引用次数: 7

Abstract

We describe our first attempts to re-engineer the curriculum of our introductory NLP course by using two important building blocks: (1) Access to an easy-to-learn programming language and framework to build hands-on programming assignments with real-world data and corpora and, (2) Incorporation of interesting ideas from recent NLP research publications into assignment and examination problems. We believe that these are extremely important components of a curriculum aimed at a diverse audience consisting primarily of first-year graduate students from both linguistics and computer science. Based on overwhelmingly positive student feedback, we find that our attempts were hugely successful.
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结合开源与研究,重新设计一个动手入门NLP课程
我们描述了我们的第一次尝试,通过使用两个重要的构建块来重新设计我们的介绍性NLP课程的课程:(1)使用易于学习的编程语言和框架来使用现实世界的数据和语料库构建动手编程作业;(2)将最近NLP研究出版物中的有趣想法纳入作业和考试问题。我们认为,这些是针对主要由语言学和计算机科学的一年级研究生组成的不同受众的课程的极其重要的组成部分。根据绝大多数积极的学生反馈,我们发现我们的尝试非常成功。
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