Electronic medical record part-of-speech tagging method, model training method and related device

Abstract

The invention provides an electronic medical record part-of-speech tagging method, a model training method and related device in the technical field of natural language processing. The method comprises the following steps of after acquiring a output sequence of a circulation network by using semantic information of a preliminary learning training word segmentation sequence of the circulation network, using a semantic connection network to process the output sequence of the circulation network to learn deep semantic information of a learning training segmentation sequence in the way of learningthe training segmentation sequence multiple times so that a prediction part-of-speech labeling result corresponding to a training part-of-speech sequence. Model parameters of a part-of-speech labeling model are updated based on the prediction part-of-speech labeling result and a training part-of-speech labeling result corresponding to the training segmentation sequence. Compared with the prior art, the part-of-speech labeling model can fully learn deep semantic information and long-distance feature information of the sample sequence, and the accuracy of part-of-speech labeling can be improved.

Description

technical field [0001] The present application relates to the technical field of natural language processing, in particular, to a part-of-speech tagging method for electronic medical records, a model training method and related devices. Background technique [0002] Sequence tagging tasks are common tasks in machine learning, such as word segmentation tasks, entity recognition tasks, time series analysis, part-of-speech tagging tasks, and so on. Some common algorithms for solving sequence labeling tasks include hidden Markov model (Hidden Markov Model, HMM), conditional random field (conditional random field, CRF) and so on. [0003] With the rapid popularization of electronic medical systems, a large amount of medical-related information is stored in the form of Electronic Medical Records (EMR); use machine learning technology to analyze and mine electronic medical records, such as word segmentation for electronic medical records , part-of-speech tagging, named entity reco...

AI Technical Summary

Problems solved by technology

[0004] However, in the current method of part-of-speech tagging, due to the need to manually find features and add some external features, the accuracy of part-of-speech tagging is low

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