Natural language processing: an introduction

OBJECTIVES: To provide an overview and tutorial of natural language processing (NLP) and modern NLP-system design. TARGET AUDIENCE: This tutorial targets the medical informatics generalist who has limited acquaintance with the principles behind NLP and/or limited knowledge of the current state of the art. SCOPE: We describe the historical evolution of NLP, and summarize common NLP sub-problems in this extensive field. We then provide a synopsis of selected highlights of medical NLP efforts. After providing a brief description of common machine-learning approaches that are being used for diverse NLP sub-problems, we discuss how modern NLP architectures are designed, with a summary of the Apache Foundation's Unstructured Information Management Architecture. We finally consider possible future directions for NLP, and reflect on the possible impact of IBM Watson on the medical field.

# Natural Language Processing Techniques # Computer Science # Biomedical Text Mining and Ontologies # Biochemistry, Genetics and Molecular Biology # Topic Modeling

Prakash M. Nadkarni, Lucila Ohno-machado A, Wendy W. Chapman (2011). "Natural language processing: an introduction". Journal of the American Medical Informatics Association. https://doi.org/10.1136/amiajnl-2011-000464