Introducing Information Retrieval for Biomedical Informatics Students

Sanya Taneja, Richard Boyce, William Reynolds, Denis Newman-Griffis


Abstract
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.
Anthology ID:
2021.teachingnlp-1.16
Volume:
Proceedings of the Fifth Workshop on Teaching NLP
Month:
June
Year:
2021
Address:
Online
Editors:
David Jurgens, Varada Kolhatkar, Lucy Li, Margot Mieskes, Ted Pedersen
Venue:
TeachingNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
96–98
Language:
URL:
https://aclanthology.org/2021.teachingnlp-1.16
DOI:
10.18653/v1/2021.teachingnlp-1.16
Bibkey:
Cite (ACL):
Sanya Taneja, Richard Boyce, William Reynolds, and Denis Newman-Griffis. 2021. Introducing Information Retrieval for Biomedical Informatics Students. In Proceedings of the Fifth Workshop on Teaching NLP, pages 96–98, Online. Association for Computational Linguistics.
Cite (Informal):
Introducing Information Retrieval for Biomedical Informatics Students (Taneja et al., TeachingNLP 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.teachingnlp-1.16.pdf
Optional supplementary material:
 2021.teachingnlp-1.16.OptionalSupplementaryMaterial.zip
Code
 dbmi-pitt/bioinf_teachingNLP