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.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3168328 | PMC |
| http://dx.doi.org/10.1136/amiajnl-2011-000464 | DOI Listing |
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