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
- 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
- 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)
- PDF:
- https://preview.aclanthology.org/nodalida-main-page/2021.teachingnlp-1.16.pdf
- Code
- dbmi-pitt/bioinf_teachingNLP