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DHC Research Institute
Natural Language Processing (NLP)
Overview

Natural language processing refers to the automatic structuring and standardization of medical texts through NLP methods such as text segmentation, named entity recognition, relationship recognition, syntactic analysis, and standardization of named entity recognition.   

                      

Features of Medical Texts
The temporal relevance of events in clinical texts
Diversity of relationships between entities in clinical texts
Diversity and polysemy of medical terminology
Irregularities in the grammatical structure of clinical texts
Employed Techniques
Active Learning
Improving the efficiency of manual annotation
Deep Learning
Automatic extraction of text features to mitigate the effects of diversity and sparsity of medical representations
Transfer Learning
Leverage accumulated models and reduce model training costs
Reinforcement Learning
Text generation and dialogue systems
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