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
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:[email protected]] Sent: Monday, August 29, 2016 1:21 PM To: [email protected] Subject: cTakes not parsing every text with SNOMED-CT Hi, 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 ?
