GitHub repository: windsuzu/AICUP-Deidentification-of-Medical-Data
Primary language: Python
Description: Chinese named-entity recognition problem that needs to capture 18 types of entities in private medical conversation text, such as name, location, time, etc. We divide this process into 4 phases and create a high-level abstract class for each phase. Finally, we control the workflow in a single Jupyter notebook.