A Hands-on Approach to NLP Fundamentals for External Domain Experts in the LLM Era

Angel Daza


Abstract
With the advent of Large Language Models (LLMs) researchers outside the Natural Language Processing (NLP) field are interested in learning how to process textual data for their own domain research goals. They are particularly motivated to start experimenting directly with LLMs, implicitly neglecting the large amount of accumulated knowledge that NLP has to offer them. In this text, we briefly share our new lesson materials that aim to show aspiring practitioners the strong connection between NLP fundamentals and LLMs, in the form of a two-day workshop. Our training material is mainly aimed at graduate students outside the NLP sphere who have basic technical knowledge and wish to start working with text, is fully open source and available online.
Anthology ID:
2026.teachingnlp-1.7
Volume:
Proceedings of the Seventh Workshop on Teaching Natural Language Processing (TeachNLP 2026)
Month:
March
Year:
2026
Address:
Rabat, Morocco
Editors:
Matthias Aßenmacher, Laura Biester, Claudia Borg, György Kovács, Margot Mieskes, Sofia Serrano
Venues:
TeachingNLP | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
37–40
Language:
URL:
https://preview.aclanthology.org/ingest-eacl/2026.teachingnlp-1.7/
DOI:
Bibkey:
Cite (ACL):
Angel Daza. 2026. A Hands-on Approach to NLP Fundamentals for External Domain Experts in the LLM Era. In Proceedings of the Seventh Workshop on Teaching Natural Language Processing (TeachNLP 2026), pages 37–40, Rabat, Morocco. Association for Computational Linguistics.
Cite (Informal):
A Hands-on Approach to NLP Fundamentals for External Domain Experts in the LLM Era (Daza, TeachingNLP 2026)
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PDF:
https://preview.aclanthology.org/ingest-eacl/2026.teachingnlp-1.7.pdf