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.

中文翻译：

---

为生物医学信息学专业的学生引入信息检索

将生物医学信息学（BMI）的学生引入自然语言处理（NLP）要求在技术深度和实用知识之间取得平衡，从而满足以应用程序为中心的需求。我们开展了三项活动，向BMI入门学生介绍了使用NLP进行信息检索的过程，涵盖了从TF-IDF到BERT的文档表示策略和语言模型。这些活动为学生提供了针对常见用例的动手经验，并介绍了NLP工作流的基本组件，适用于各种应用程序。