Corpus ID: 216144428

Learning the grammar of prescription: recurrent neural network grammars for medication information extraction in clinical texts

@article{Lerner2020LearningTG,
  title={Learning the grammar of prescription: recurrent neural network grammars for medication information extraction in clinical texts},
  author={Ivan Lerner and Jordan Jouffroy and Anita Burgun-Parenthoine and A. Neuraz},
  journal={ArXiv},
  year={2020},
  volume={abs/2004.11622}
}

Ivan Lerner, Jordan Jouffroy, +1 author A. Neuraz

Published 2020

Computer Science

ArXiv

In this study, we evaluated the RNNG, a neural top-down transition based parser, for medication information extraction in clinical texts. We evaluated this model on a French clinical corpus. The task was to extract the name of a drug (or class of drug), as well as fields informing its administration: frequency, dosage, duration, condition and route of administration. We compared the RNNG model that jointly identify entities and their relations with separate BiLSTMs models for entities and… CONTINUE READING

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