Negation Detection for Clinical Data
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In clinical natural language processing, one of the challenges is that the meaning of clinical entities is highly effected by modifiers such as negation. I'm building model for 1.Cue detection 2.Detecting scope of negation ...learn more
Project status: Under Development
Overview / Usage
In modern times negation detection plays a major role in all the industries where NLP products are useful.
In clinical data negation detection plays a major role for understanding the status of patients health and understanding of what doctor wants to say.
So in this project im trying to built a model which will predict CUE and the SCOPE from the given sentence.
Methodology / Approach
Currently i'm trying Bi-LSTM for negation detection
Technologies Used
FastAI and Pytorch