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.
CITATION STYLE
Taneja, S. B., Boyce, R. D., Reynolds, W. T., & Newman-Griffi, D. (2021). Introducing Information Retrieval for Biomedical Informatics Students. In Teaching NLP 2021 - Proceedings of the 5th Workshop on Teaching Natural Language Processing (pp. 96–98). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2021.teachingnlp-1.16
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