UtahPOET: Disorder Mention Identification and Context Slot Filling with Cognitive Inspiration
Kristina M Doing-Harris, Sean Igo, Jianlin Shi, John F. Hurdle · 2015
We describe the performance of UtahPOET on SemEval 2015 Task 14. UtahPOET is a cognitively inspired system designed to extract semantic content from general clinical texts.We find that our system performs much better on the context slot-filling aspects of Tasks 2A and 2B than the disorder CUI mapping of Tasks 1 and 2B or the body location CUI mapping of Task 2B.Our problems with CUI mapping suggested several possible system improvements.An alteration in the correspondence between the system architecture and psycholinguistic findings is also indicated.