| Comparing syntactic complexity in medical and non-medical corpora. | |
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MedLine Citation:
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PMID: 11825160 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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With the growing use of Natural Language Processing (NLP) techniques as solutions in Medical Informatics, the need to quickly and efficiently create the knowledge structures used by these systems has grown concurrently. Automatic discovery of a lexicon for use by an NLP system through machine learning will require information about the syntax of medical language. Understanding the syntactic differences between medical and non-medical corpora may allow more efficient acquisition of a lexicon. Three experiments designed to quantify the syntactic differences in medical and non-medical corpora were conducted. The results show that the syntax of medical language shows less variation than non-medical language and is likely simpler. The differences were great enough to question the applicability of general language tools on medical language. These differences may reduce the difficulty of some free text machine learning problems by capitalizing on the simpler nature of narrative medical syntax. |
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Authors:
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D A Campbell; S B Johnson |
Publication Detail:
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Type: Journal Article; Research Support, U.S. Gov't, P.H.S. |
Journal Detail:
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Title: Proceedings / AMIA ... Annual Symposium. AMIA Symposium Volume: - ISSN: 1531-605X ISO Abbreviation: Proc AMIA Symp Publication Date: 2001 |
Date Detail:
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Created Date: 2002-02-04 Completed Date: 2002-05-24 Revised Date: 2009-11-18 |
Medline Journal Info:
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Nlm Unique ID: 100883449 Medline TA: Proc AMIA Symp Country: United States |
Other Details:
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Languages: eng Pagination: 90-4 Citation Subset: IM |
Affiliation:
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Department of Medical Informatics, Columbia University, USA. |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Artificial Intelligence Linguistics* Literature* Natural Language Processing* |
| Grant Support | |
ID/Acronym/Agency:
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LM07079/LM/NLM NIH HHS |
| Comments/Corrections | |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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