Chris J. Lu

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1. Introduction The demand for natural language processing (NLP) in medicine has grown significantly in recent years. This growth is expected to increase rapidly due to the continuing adoption of electronic medical records (EMRs). Medical language processing (MLP) seeks to analyze linguistic patterns found not only in electronic medical records, but also in(More)
A JDI (Journal Descriptor Indexing) tool has been developed at NLM that automatically categorizes biomedical text as input, returning a ranked list, with scores between 0-1, of either JDs (Journal Descriptors, corresponding to biomedical disciplines) or STs (UMLS Semantic Types). Possible applications include WSD (Word Sense Disambiguation) and retrieval(More)
The SPECIALIST Lexicon has been distributed annually by the National Library of Medicine (NLM) since 1994. Lexical records are used for Part-of-Speech (POS) tagging, indexing, information retrieval, concept mapping, etc. in many Natural Language Processing (NLP) projects, such as Lexical Tools, MetaMap, SemRep, UMLS Metathesaurus, and
Multiwords are vital to better precision and recall in NLP applications. The Lexical Systems Group (LSG) developed an effective approach to add multiwords to the SPECIALIST Lexicon from the MEDLINE n-gram set. This paper describes a frequency analysis on LexMultiwords (LMWs) and acronym expansions based on the word count (WC) in MEDLINE. Results show most(More)
Multiwords are vital to better NLP systems for more effective and efficient parsers, refining information retrieval searches, enhancing precision and recall in NLP applications, etc. The Lexical Systems Group (LSG) enhanced the coverage of multiwords in the Lexicon to provide a more comprehensive resource. This paper describes a new systematic approach to(More)