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BMI 6330 Biomedical Natural Language Processing

3 semester credit hours
Lecture contact hours: 2; Lab contact hours: 3
Web-based and classroom instruction
Prerequisite: Consent of instructor

Course Description:
This course will examine current natural language processing (NLP) methods and their applications in the biomedical domain. It will provide a systematic introduction to basic knowledge and methods used in NLP research and hands-on experience with existing biomedical NLP systems. Students will gain knowledge and skills in various NLP tasks such as named entity recognition, information extraction, and information retrieval.

Upon successful completion of the course, students will:

  • Apply the probabilistic theory and machine learning algorithms to solve Biomedical/General Natural Language Processing problems
  • Analyze text data using different levels of linguistic knowledge
  • Describe the system architecture and the state-of-the-art methods for the major topics in NLP domain: Information Extraction, Text Classification, Information Retrieval, Question Answering and Sentimental Analysis
  • Design systems and evaluate their performances for specific NLP tasks
  • Explain the differences between Biomedical NLP and general English NLP
  • Use existing Biomedical resources and Biomedical NLP systems to conduct Biomedical research
  • Apply statistical methods to solve biomedical NLP problem