2026 EACL EACL 2026

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

Abstract

AbstractWith 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.

🧭 Keyword Pioneer — nlp fundamental
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Natural Language Processing, Robotics, Speech & Audio

Authors