将话语分析融入大模型时代语言生成教学
Which course? Discourse! Teaching Discourse and Generation in the Era of LLMs
- 跨语言学与计算机科学设计课程，融合理论与实践
- 首次于2025秋季开设，面向高年级本科生
- 适合对语言结构与生成模型交叉研究感兴趣者
近年来自然语言处理领域持续快速演变，引发跨学科讨论。这促使教育界思考：如何设计能连接各子领域的课程？本文从话语处理角度切入，该领域兼具丰富的语言学洞见与计算模型，可捕捉语言的意图、注意力及连贯性结构。话语对开放式或长文本生成至关重要，但当前本科课程对此关注不足。本文介绍新课程《计算话语与自然语言生成》，由语言学与计算机科学背景互补的团队联合设计，2025年秋季首次开课，跨院系挂靠。课程强调理论与实证深度结合，培养探索式思维。文中详述课程设置，并基于独立调研总结经验，展望未来方向。
原文摘要 · Abstract (English)
The field of NLP has undergone vast, continuous transformations over the past few years, sparking debates going beyond discipline boundaries. This begs important questions in education: how do we design courses that bridge sub-disciplines in this shifting landscape? This paper explores this question from the angle of discourse processing, an area with rich linguistic insights and computational models for the intentional, attentional, and coherence structure of language. Discourse is highly relevant for open-ended or long-form text generation, yet this connection is under-explored in existing undergraduate curricula. We present a new course, "Computational Discourse and Natural Language Generation". The course is collaboratively designed by a team with complementary expertise and was offered for the first time in Fall 2025 as an upper-level undergraduate course, cross-listed between Linguistics and Computer Science. Our philosophy is to deeply integrate the theoretical and empirical aspects, and create an exploratory mindset inside the classroom and in the assignments. This paper describes the course in detail and concludes with takeaways from an independent survey as well as our vision for future directions.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。