Literature DB >> 10566313

The power and limits of a rule-based morpho-semantic parser.

R H Baud1, A M Rassinoux, P Ruch, C Lovis, J R Scherrer.   

Abstract

The venue of Electronic Patient Record (EPR) implies an increasing amount of medical texts readily available for processing, as soon as convenient tools are made available. The chief application is text analysis, from which one can drive other disciplines like indexing for retrieval, knowledge representation, translation and inferencing for medical intelligent systems. Prerequisites for a convenient analyzer of medical texts are: building the lexicon, developing semantic representation of the domain, having a large corpus of texts available for statistical analysis, and finally mastering robust and powerful parsing techniques in order to satisfy the constraints of the medical domain. This article aims at presenting an easy-to-use parser ready to be adapted in different settings. It describes its power together with its practical limitations as experienced by the authors.

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Mesh:

Year:  1999        PMID: 10566313      PMCID: PMC2232809     

Source DB:  PubMed          Journal:  Proc AMIA Symp        ISSN: 1531-605X


  5 in total

1.  Galen-In-Use: using artificial intelligence terminology tools to improve the linguistic coherence of a national coding system for surgical procedures.

Authors:  J M Rodrigues; B Trombert-Paviot; R Baud; J Wagner; F Meusnier-Carriot
Journal:  Stud Health Technol Inform       Date:  1998

2.  Terminological systems: bridging the generation gap.

Authors:  J E Rogers; A L Rector
Journal:  Proc AMIA Annu Fall Symp       Date:  1997

3.  Knowledge-based approaches to the maintenance of a large controlled medical terminology.

Authors:  J J Cimino; P D Clayton; G Hripcsak; S B Johnson
Journal:  J Am Med Inform Assoc       Date:  1994 Jan-Feb       Impact factor: 4.497

4.  Morphosemantic analysis of compound word forms denoting surgical procedures.

Authors:  L M Norton; M G Pacak
Journal:  Methods Inf Med       Date:  1983-01       Impact factor: 2.176

5.  Present and future trends with NLP.

Authors:  R Baud
Journal:  Int J Med Inform       Date:  1998 Oct-Dec       Impact factor: 4.046

  5 in total
  5 in total

1.  Semantic handling of medical compound words through sound analysis and generation processes.

Authors:  A M Rassinoux; P Ruch; R H Baud; C Lovis
Journal:  Proc AMIA Symp       Date:  2000

2.  A light knowledge model for linguistic applications.

Authors:  R H Baud; C Lovis; P Ruch; A M Rassinoux
Journal:  Proc AMIA Symp       Date:  2001

3.  eQuality for all: Extending automated quality measurement of free text clinical narratives.

Authors:  Steven H Brown; Peter L Elkin; S Trent Rosenbloom; Elliot Fielstein; Ted Speroff
Journal:  AMIA Annu Symp Proc       Date:  2008-11-06

4.  Development and tuning of an original search engine for patent libraries in medicinal chemistry.

Authors:  Emilie Pasche; Julien Gobeill; Olivier Kreim; Fatma Oezdemir-Zaech; Therese Vachon; Christian Lovis; Patrick Ruch
Journal:  BMC Bioinformatics       Date:  2014-01-10       Impact factor: 3.169

Review 5.  Clinical Natural Language Processing in languages other than English: opportunities and challenges.

Authors:  Aurélie Névéol; Hercules Dalianis; Sumithra Velupillai; Guergana Savova; Pierre Zweigenbaum
Journal:  J Biomed Semantics       Date:  2018-03-30
  5 in total

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