Introducing biomedical informatics (BMI) students to natural language processing (NLP) requires balancing technical depth with practical know-how to address application-focused needs. We developed a set of three activities introducing introductory BMI students to information retrieval with NLP, covering document representation strategies and language models from TF-IDF to BERT. These activities provide students with hands-on experience targeted towards common use cases, and introduce fundamental components of NLP workflows for a wide variety of applications.
@article{arxiv.2105.02746,
title = {Introducing Information Retrieval for Biomedical Informatics Students},
author = {Sanya B. Taneja and Richard D. Boyce and William T. Reynolds and Denis Newman-Griffis},
journal= {arXiv preprint arXiv:2105.02746},
year = {2021}
}
Comments
To appear in the Proceedings of the Fifth Workshop on Teaching NLP @ NAACL