This tutorial, organised by the University of Glasgow's AI4BioMed lab, will provide a hands-on introduction to the core tasks in biomedical natural language processing (BioNLP) for extracting knowledge from text. These include named entity recognition to identify mentions of important concepts, entity linking to connect mentions with ontologies and relation extraction methods to understand what text is saying about the entities. It will also explore the strengths and weaknesses of large language models for information extraction.
The hands-on sections are mostly easily run through Google Colab which requires a Google account for saving your edits.
