| McCray AT, Srinivasan S, and Browne AC. Lexical methods for managing variation in biomedical terminologies. In Proc. the 18th Annual SCAMC, pages 235--239, Washington DC, November 1994. |
....synonyms and variants, but also provides lexical resources for processing medical terms. Thus, if a condition term can not be found in the UMLS through an exact match, normalization techniques (including case, punctuation, inflection and word order insensitivity) can be used to map it to the UMLS [4]. For example, the term chromosome 4 short arm deletion does not exist in the UMLS, but is mapped to the term deletion of the short arm of chromosome 4 after normalization. Among the terms that fail to map to the UMLS after normalization, some are more specific than equivalent terms in the ....
McCray AT, Srinivasan S, Browne AC. Lexical methods for managing variation in biomedical terminologies. Proc Annu Symp Comput Appl Med Care 1994:235-9.
....derivational or compositional morphology is available. This situation prevails for most languages, notable exceptions being Dutch, English and German with the CELEX base [8] For medical language, the only publicly available morphological knowledge base is that of the UMLS Specialist Lexicon [9,10], which addresses inflection and derivation for medical English. Derivational morphology is the subject of recent projects (e.g. the MorTAL project on French derivational morphology [11] Building medical morphological resources for several languages is beginning to be tackled in a global way ....
.... on large word lists have also been performed to identify the most frequent suffixes of a language [17] Machine learning algorithms have been applied to morphology too [18] Tools to study morphological variants among terms of multiple vocabularies have also been designed when building the UMLS [10]. Whereas most of these methods work with classical string operations, linguistically more elaborate models have also been used, such as two level morphology [19] to learn more general rules from morphologically related pairs of words [20] This paper describes a series of experiments which aim ....
McCray AT, Srinivasan S, and Browne AC. Lexical methods for managing variation in biomedical terminologies. In: Proc Eighteenth Annu Symp Comput Appl Med Care, Washington. Mc Graw Hill, 1994:235--9.
....and medical information indexing (Wingert et al. 1989; Schulz et al. 1999) and there is a need to develop resources for it. This is the aim of the present work. A specific inflectional and derivational knowledge base has been prepared for medical English in the framework of the UMLS project (McCray et al. 1994). Building medical morphological resources for several languages is also beginning to be tackled in a global way (Schulz et al. 1999) The specific goal of the present work is to investigate methods that take advantage of the wealth of existing medical terminologies to help acquire morphological ....
....5. We computed a confidence interval for these estimates with = 0.05. For English, we are in a position where morphological resources for derivation (as well as inflection) are available: those distributed in the UMLS Specialist lexicon and its lvg tool (National Library of Medicine, 1999; McCray et al. 1994). lvg can serve as an inflection and derivation generator, and has knowledge specific to the medical vocabulary. We ran lvg on the list of word forms collected for English to identify the word pairs where either (i) one word form was an inflected form of the other, or (ii) one word form was a ....
McCray, A. T., Srinivasan, S. & Browne, A. C. (1994). Lexical methods for managing variation in biomedical terminologies. In Proceedings of the 18 th Annual SCAMC, pp. 235--239, Washington: Mc Graw Hill.
....derivational or compositional morphology is available. This situation prevails for most languages, notable exceptions being Dutch, English and German with the CELEX base [7] For medical language, the only publicly available morphological knowledge base is that of the UMLS Specialist Lexicon [8,9], which addresses inflection and derivation for medical English. Derivational morphology is the subject of recent projects (e.g. the FRANLEX project on French derivational morphology [10] Building medical morphological resources for several languages is beginning to be tackled in a global way ....
.... on large word lists have also been performed to identify the most frequent suffixes of a language [16] Machine learning algorithms have been applied to morphology too [17] Tools to study morphological variants among terms of multiple vocabularies have also been designed when building the UMLS [9]. Whereas most of these methods work with classical string operations, linguistically more elaborated models have also been used, such as two level morphology [18] to learn more general rules from morphologically related pairs of words [19] The base material we use to learn morphological ....
McCray AT, Srinivasan S, and Browne AC. Lexical methods for managing variation in biomedical terminologies. In: Proc Eighteenth Annu Symp Comput Appl Med Care, Washington. Mc Graw Hill, 1994:235--9.
....for the SN. 3. The SPECIALIST lexicon (SL) is an English language lexicon with many biomedical terms. Information for each entry includes base form, spelling variants, syntactic category, inflectional variation of nouns and conjugation of verbs. This information is used by the lexical tools [6]. 4. The Information Sources Map (ISM) is a database that describes information sources in terms of content, scope and access conditions [7] The NLM currently provides two different ways to access the UMLS data: 1. Files from the CD ROM distribution to be integrated into a local system, and ....
....identified and transformed into their base form. Then, derived forms can be computed. Figure 1 shows a simplified implementation of the lexical variant generation (LVG) programs in the UMLS: LVG computes inflectional and derivational variants by applying a set of rules and facts to the base forms [6]. These lexical resources do not currently exist for French in the UMLS. Table 1 Search criteria for the following queries: Normalized String Index (ns) Normalized Word Index (nw) Word Index (wd) Approximate Matching (am) Criteria ns nw wd am all input words (IW) must be present in the ....
McCray A, Srinivasan S, Browne A. Lexical methods for managing variation in biomedical terminologies. Proc Annu Symp Comput Appl Med Care 1994:235-9.
.... System (UMLS) Knowledge Sources [3] Each lexical record contains information on a variety of syntactic properties for each lexical item including inflectional patterns, the forms of plurals for nouns, of principal parts for verbs and of comparative and superlative for adjectives and adverbs [4]. Lexical items may be multi words like cardiac arrest . The UMLS Knowledge Source Server provides online access to the lexicon [5] The lexicon is continuously updated and expanded. The 1997 release, used in this study, contains over 84,000 lexical records, accounting for 155,759 different ....
A.T. McCray, S. Srinivasan, A.C. Browne. Lexical methods for managing variation in biomedical terminologies. J.G. Ozbolt (ed), Proceedings of the 18 th Annual Symposium on Computer Applications in Medical Care; 1994; pp. 235-9.
No context found.
McCray AT, Srinivasan S, and Browne AC. Lexical methods for managing variation in biomedical terminologies. In Proc. the 18th Annual SCAMC, pages 235--239, Washington DC, November 1994.
No context found.
McCray, A.T., Srinivasan, S., Browne, A.C.: Lexical methods for managing variation in biomedical terminologies. In: Proceedings of the 18th Annual Symposium on Computer Applications in Medical Care (SCAMC). (1994) 235--239
No context found.
McCray AT, Srinivasan S, Browne AC. Lexical methods for managing variation in biomedical terminologies. Proc Annu Symp Comput Appl Med Care. 1994;:235-9 Miller GA. WordNet: A Lexical Database for English. Communications of the ACM, Nov. 1995:38(11):39-41
No context found.
McCray AT, Srinivasan S, Browne AC. Lexical methods for managing variation in biomedical terminologies. Proc Annu Symp Comput Appl Med Care. 1994;:235-9 Miller GA. WordNet: A Lexical Database for English. Communications of the ACM, Nov. 1995:38(11):39-41
No context found.
McCray AT, Srinivasan S, Browne AC. Lexical methods for managing variation in biomedical terminologies. Proc Annu Symp Comput Appl Med Care. 1994;:235-9 Miller GA. WordNet: A Lexical Database for English. Communications of the ACM, Nov. 1995:38(11):39-41
No context found.
McCray AT, Srinivasan S, Browne AC. Lexical methods for managing variation in biomedical terminologies. Proc Annu Symp Comput Appl Med Care. 1994;:235-9 Miller GA. WordNet: A Lexical Database for English. Communications of the ACM, Nov. 1995:38(11):39-41
No context found.
McCray AT, Srinivasan S, Browne AC. Lexical methods for managing variation in biomedical terminologies. Proc Annu Symp Comput Appl Med Care. 1994;:235-9 Miller GA. WordNet: A Lexical Database for English. Communications of the ACM, Nov. 1995:38(11):39-41
No context found.
McCray AT, Srinivasan S, Browne AC. Lexical methods for managing variation in biomedical terminologies. Proc Annu Symp Comput Appl Med Care. 1994;:235-9 Miller GA. WordNet: A Lexical Database for English. Communications of the ACM, Nov. 1995:38(11):39-41
No context found.
McCray AT, Srinivasan S, Browne AC. Lexical methods for managing variation in biomedical terminologies. Proc Annu Symp Comput Appl Med Care. 1994;:235-9 Miller GA. WordNet: A Lexical Database for English. Communications of the ACM, Nov. 1995:38(11):39-41
No context found.
McCray AT, Srinivasan S, Browne AC. Lexical methods for managing variation in biomedical terminologies. Proc Annu Symp Comput Appl Med Care. 1994; 235-9.
No context found.
McCray AT, Srinivasan S, Browne AC. Lexical Methods for Managing Variation in Biomedical Terminologies. Proc Annu Symp Comput Appl Med Care 1994:235-9.
No context found.
McCray AT, Srinivasan S and Browne AC. Lexical methods for managing variation in biomedical terminologies. In Ozbolt JG (ed.) Proc 18th SCAMC, 235-239, 1994.
No context found.
McCray Alexa T.; Suresh Srinivasan; and Allen C. Browne. 1994 Lexical methods for managing variation in biomedical terminologies. In Ozbolt JG (ed.) Proceedings of the 18th Annual Symposium on Computer Applications in Medical Care, 235-9.
No context found.
McCray AT, Srinivasan S and Browne AC. Lexical methods for managing variation in biomedical terminologies. In Ozbolt JG (ed.) Proceedings of the 18th Annual SCAMC, 1994, 235-239.
No context found.
McCray AT, Srinivasan S and Browne AC. Lexical methods for managing variation in biomedical terminologies. Proc SCAMC, 1994, 235-9.
No context found.
A. T. McCray, S. Srinivasan, and A. C. Browne. Lexical methods for managing variation in biomedical terminologies. Proc Annu Symp Comput Appl Med Care, pages 235--9, 1994. 95037246 0195-4210 Journal Article.
No context found.
McCray AT, Srinivasan S, and Browne AC. Lexical methods for managing variation in biomedical terminologies. In: Proc Eighteenth Annu Symp Comput Appl Med Care, Washington. Mc Graw Hill, 1994:235--9.
No context found.
McCray AT, Srinivasan S, and Browne AC. Lexical methods for managing variation in biomedical terminologies. In: Proc Eighteenth Annu Symp Comput Appl Med Care, Washington. Mc Graw Hill, 1994:235--9.
No context found.
McCray AT, Srinivasan S, and Browne AC. Lexical methods for managing variation in biomedical terminologies. In: Proc Eighteenth Annu Symp Comput Appl Med Care, Washington. Mc Graw Hill, 1994:235--9.
First 50 documents
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC