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|Title:||Machine Learning Methods for Analysis of Clinical Text|
|Keywords:||Computer Science & Engineering|
|Abstract:||The natural language processing (NLP) community has conducted some competitions to evaluate and help improve various NLP domains.such competitions are BIOCREATIVE-IV in which we apply machine learning methods for chemical name and drug recognition and other is SemEval-2014 Task 7 in which we apply machine learning methods for clinical text analysis. The main aim of this tasks is to enhance current research in natural language processing methods used in the clinical domain. The second aim of the task is to introduce clinical text processing to the broader NLP community.The task aims to combine supervised methods for text analysis with unsupervised approaches.In supervised methods it Learns a method for predicting the instance class from pre-labeled (classified) instances which is supervised learning.in unsupervised methods we have unlabelled data.|
|Appears in Collections:||01. CSE|
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