Medical text entity labeling method and device
A physical and medical technology, applied in the field of medical big data, can solve problems such as wrong labeling results, difficulty in ensuring accuracy, and reducing the efficiency of medical text labeling, so as to facilitate analysis and research, improve accuracy, and reduce workload.
Active Publication Date: 2021-11-26
上海柯林布瑞信息技术有限公司
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[0004] Therefore, it is difficult to guarantee the accuracy of labeling medical texts by using the general text labeling method. Not only will it not save the workload of manual labeling, but the resulting wrong labeling results will also lead to the need for manual intervention to correct the labeling results, thereby reducing the labeling of medical texts. efficiency
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[0053] Hereinafter, the embodiments of the present invention will be described with reference to the drawings. It should be understood, however, that these descriptions are merely exemplary, and not to limit the scope of the invention. Further, in the following description, a description of the well-known structure and techniques is omitted to avoid unnecessary obscuring the concepts of the present invention.
[0054] The terminology used herein is for describing particular embodiments only embodiments, and are not intended to limit the present disclosure. As used herein, the words "a", "an (species)" and "the" and the like shall also include "plurality", "plurality" means, unless the context clearly dictates otherwise. Further, as used herein, the term "comprising", "including" and the like indicate the presence of stated features, steps, operations and / or components, but do not preclude the presence or addition of one or more other features, steps, operations, or components . ...
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The invention provides a medical text entity labeling method and device. The method comprises the following steps: obtaining a labeled medical text set; in the labeled medical text set, determining a middle part expression corresponding to each labeled entity, and determining a front part expression and a rear part expression corresponding to each labeled entity; determining an entity labeling template based on a regular expression corresponding to each labeled entity; and performing entity labeling on the medical texts except the first preset number of medical texts in the target medical text set. According to the medical text entity annotation method provided by the embodiment of the invention, the entity annotation template is extracted from the pre-annotated medical text through a semi-supervised annotation method, automatic annotation of a large batch of medical texts is realized, and the text characteristics of the entity and the context thereof are considered while the entity annotation template is extracted; therefore, the accuracy of medical text entity labeling is improved, and the workload of manual intervention is reduced.
Description
Technical field [0001] The present invention relates to the field of medical large data, and more particularly to a medical text entity labeling method and apparatus. Background technique [0002] With the wide application of intelligent medical technology, the demand for medical text such as electronic cases is gradually improved using natural language processing technology. However, the lack of medical labeling text language libraries for artificial intelligence model training is still a bottleneck that restricts intelligent medical technology applications. The current still requires users to marke a large number of medical texts according to actual scenes and needs. Medical text entity labeling is one of the important techniques of various entities in medical text, and is one of the important technical components of intelligent medical care. The technology hits a specific metadata tag for text content by clearing the text content to create a large amount of entity labeling med...
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IPC IPC(8): G06F40/284G06F40/186G06F16/33
Inventor 秦晓宏华宗楠
Owner 上海柯林布瑞信息技术有限公司