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01000naa a22002652 4500 |
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NLM104963360 |
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DE-627 |
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20231222133638.0 |
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tu |
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231222s1999 xx ||||| 00| ||eng c |
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|a pubmed24n0350.xml
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|a (DE-627)NLM104963360
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|a (NLM)10566344
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|a DE-627
|b ger
|c DE-627
|e rakwb
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|a eng
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| 100 |
1 |
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|a Wilbur, W J
|e verfasserin
|4 aut
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| 245 |
1 |
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|a Analysis of biomedical text for chemical names
|b a comparison of three methods
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| 264 |
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1 |
|c 1999
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| 336 |
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|a Text
|b txt
|2 rdacontent
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|a ohne Hilfsmittel zu benutzen
|b n
|2 rdamedia
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| 338 |
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|a Band
|b nc
|2 rdacarrier
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| 500 |
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|a Date Completed 01.02.2000
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|a Date Revised 21.10.2016
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|a published: Print
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|a Citation Status MEDLINE
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|a At the National Library of Medicine (NLM), a variety of biomedical vocabularies are found in data pertinent to its mission. In addition to standard medical terminology, there are specialized vocabularies including that of chemical nomenclature. Normal language tools including the lexically based ones used by the Unified Medical Language System (UMLS) to manipulate and normalize text do not work well on chemical nomenclature. In order to improve NLM's capabilities in chemical text processing, two approaches to the problem of recognizing chemical nomenclature were explored. The first approach was a lexical one and consisted of analyzing text for the presence of a fixed set of chemical segments. The approach was extended with general chemical patterns and also with terms from NLM's indexing vocabulary, MeSH, and the NLM SPECIALIST lexicon. The second approach applied Bayesian classification to n-grams of text via two different methods. The single lexical method and two statistical methods were tested against data from the 1999 UMLS Metathesaurus. One of the statistical methods had an overall classification accuracy of 97%
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|a Comparative Study
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| 650 |
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|a Journal Article
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| 650 |
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|a Inorganic Chemicals
|2 NLM
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| 650 |
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7 |
|a Organic Chemicals
|2 NLM
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| 700 |
1 |
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|a Hazard, G F
|c Jr
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Divita, G
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Mork, J G
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Aronson, A R
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Browne, A C
|e verfasserin
|4 aut
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| 773 |
0 |
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|i Enthalten in
|t Proceedings. AMIA Symposium
|d 1998
|g (1999) vom: 23., Seite 176-80
|w (DE-627)NLM098642928
|x 1531-605X
|7 nnns
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| 773 |
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|g year:1999
|g day:23
|g pages:176-80
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|a GBV_USEFLAG_A
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| 912 |
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|a SYSFLAG_A
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| 912 |
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|a GBV_NLM
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| 912 |
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|a GBV_ILN_350
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| 951 |
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|a AR
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| 952 |
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|j 1999
|b 23
|h 176-80
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