ctakes-user mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Savova, Guergana" <Guergana.Sav...@childrens.harvard.edu>
Subject RE: cTakes not parsing every text with SNOMED-CT
Date Mon, 29 Aug 2016 20:07:15 GMT
You’d probably need to define the lookup window to include the verb part-of-speech tags (they
all start with a v*). The default window lookup anchors around the n* phrases (noun phrases
which are sequences of part-of-speech tags). You have to modify the lookup setting.
Hope this helps.

Guergana Savova, PhD, FACMI
Associate Professor
PI Natural Language Processing Lab
Boston Children's Hospital and Harvard Medical School
300 Longwood Avenue
Mailstop: BCH3092
Enders 144.1
Boston, MA 02115
Harvard Scholar: http://scholar.harvard.edu/guergana_k_savova/biocv

From: Bandeep Singh [mailto:bsingh@phemi.com]
Sent: Monday, August 29, 2016 1:21 PM
To: user@ctakes.apache.org
Subject: cTakes not parsing every text with SNOMED-CT


I have been trying to parse a sample text using cTakes. However, cTakes does not annotate
few words with its UMLS/SNOEMED CT equivalent code.

Sample text: " The patient is suffering from extreme pain due to shark bite"

cTakes output:
[Inline image 1]

If we observer in the above example, word "suffering" is not annotated with SNOWMED-CT equivalent
code 706873003.

Can somebody explain why ? Is there any other customized SNOWMED/UMLS dictionary I can use
to annotate everything ?

View raw message