教授一门自然语言处理大规模开放在线课程
Teaching a Massive Open Online Course on Natural Language Processing
AI总结：
本文介绍一门面向非英语母语学生的12周NLP MOOC，融合讲座、实践、测验与Kaggle式作业，兼顾核心理论、Transformer进展、应用架构和多语言实操，并获得积极反馈。
摘要：
本文介绍了一门新的自然语言处理大规模开放在线课程，面向非英语母语学生。课程为期12周；每周包含讲座、实践课程和测验作业。12周中有3周后安排Kaggle风格的编程作业。我们的课程旨在实现多重目标：（i）使学生熟悉NLP的核心概念与方法，例如语言建模或词与句子表示；（ii）展示包括基于Transformer的预训练模型在内的最新进展如何建立在这些概念之上；（iii）介绍最受需求的实际应用所使用的架构；（iv）培养处理多种语言文本的实践技能。该课程于2020年筹备并录制，年底推出，并在2021年初获得了积极反馈。
英文摘要：
This paper presents a new Massive Open Online Course on Natural Language Processing, targeted at non-English speaking students. The course lasts 12 weeks; every week consists of lectures, practical sessions, and quiz assignments. Three weeks out of 12 are followed by Kaggle-style coding assignments. Our course intends to serve multiple purposes: (i) familiarize students with the core concepts and methods in NLP, such as language modeling or word or sentence representations, (ii) show that recent advances, including pre-trained Transformer-based models, are built upon these concepts; (iii) introduce architectures for most demanded real-life applications, (iv) develop practical skills to process texts in multiple languages. The course was prepared and recorded during 2020, launched by the end of the year, and in early 2021 has received positive feedback.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
