A method of recognizing entities from Chinese Electronic Medical Record based on domain word vector combined with word attributes reasoning

Corresponding author: wuxuehong, csu.xhwu@mail.csu.edu.cn

DOI: 10.12201/bmr.202109.00016

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  Abstract: This paper introduces the reasoning mechanism of integrating word vector and word attribute based on BiLSTM-CRF benchmark model, and realizes the named entity recognition model of Chinese Electronic Medical Record. The overall F1 value of the named entity recognition model using professional domain word vector and word attribute reasoning mechanism is significantly higher than that of the benchmark model. The experimental results also show that the introduction of word attribute reasoning mechanism improves the effect of named entity recognition of Chinese Electronic Medical Records.

  Key words: professional domain word vector; word attribute reasoning; Chinese electronic medical record; named entity recognition; natural language processing

  Submit time: 12 October 2021

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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  1	2021-09-03	bmr.202109.00016V1	Download

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