Papers › Introducing Information Retrieval for Biomedical Informatics Students

Introducing Information Retrieval for Biomedical Informatics Students

6 May 2021NAACL (TeachingNLP) 2021 6arXiv:2105.02746archive 2025-07-28

Sanya B. Taneja, Richard D. Boyce, William T. Reynolds, Denis Newman-Griffis

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.

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Information RetrievalRetrieval

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AdamAttentionAttention DropoutBERTDense ConnectionsDropoutLayer NormalizationLinear LayerLinear Warmup With Linear DecayMulti-Head AttentionResidual ConnectionSoftmaxWeight DecayWordPiece

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