Supervised Named Entity Recognition for Clinical Data

@inproceedings{Jain2015SupervisedNE,
  title={Supervised Named Entity Recognition for Clinical Data},
  author={Devanshu Jain},
  booktitle={CLEF},
  year={2015}
}
Clinical Named Entity Recognition is a part of Task 1b, organised by CLEF eHealth organisation in 2015. The aim is to automatically identify clinically relevant entities in medical text in French. A supervised learning approach has been used for training the tagger. For the purpose of training, Conditional Random Fields(CRF) has been used. An extensive set of features was used for training. Precision, recall and F1 Score were used as evaluation metrics. Ten fold cross validation technique was… CONTINUE READING

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