Example-Driven Course Slides on Natural Language Processing Concepts

Natalie Parde


Abstract
Natural language processing (NLP) is a fast-paced field and a popular course topic in many undergraduate and graduate programs. This paper presents a comprehensive suite of example-driven course slides covering NLP concepts, ranging from fundamental building blocks to modern state-of-the-art approaches. In contributing these slides, I hope to alleviate burden for those starting out as faculty or in need of course material updates. The slides are publicly available for external use and are updated regularly to incorporate new advancements.
Anthology ID:
2024.teachingnlp-1.2
Volume:
Proceedings of the Sixth Workshop on Teaching NLP
Month:
August
Year:
2024
Address:
Bangkok, Thailand
Editors:
Sana Al-azzawi, Laura Biester, György Kovács, Ana Marasović, Leena Mathur, Margot Mieskes, Leonie Weissweiler
Venues:
TeachingNLP | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
4–6
Language:
URL:
https://aclanthology.org/2024.teachingnlp-1.2
DOI:
Bibkey:
Cite (ACL):
Natalie Parde. 2024. Example-Driven Course Slides on Natural Language Processing Concepts. In Proceedings of the Sixth Workshop on Teaching NLP, pages 4–6, Bangkok, Thailand. Association for Computational Linguistics.
Cite (Informal):
Example-Driven Course Slides on Natural Language Processing Concepts (Parde, TeachingNLP-WS 2024)
Copy Citation:
PDF:
https://aclanthology.org/2024.teachingnlp-1.2.pdf