Biomedical named entity recognition method based on general language characteristics

A named entity recognition and biomedical technology, applied in the field of biomedical named entity recognition, can solve the problems of difficult features, poor recognition effect, poor versatility, etc., and achieve the effect of improving recognition ability and good versatility

Inactive Publication Date: 2019-07-05
CENT SOUTH UNIV
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  • Description
  • Claims
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Problems solved by technology

[0011] The present invention provides a biomedical named entity recognition method and system based on universal language features, which first solves the problems of difficulty in manually extracting features, poor versatility, poor recogni

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  • Biomedical named entity recognition method based on general language characteristics
  • Biomedical named entity recognition method based on general language characteristics
  • Biomedical named entity recognition method based on general language characteristics

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Embodiment Construction

[0036] The method and system of the present invention automatically recognize named entities in biomedical texts and provide labeling results. The method is based on a conditional random field model using common language features. The system uses a B / S architecture (Browser / Server, browser / server mode, mainly implemented by technologies such as JavaScript, HTML and node.js). The system uses such as figure 1 shown.

[0037] Embodiments of the present invention will be described below in conjunction with the accompanying drawings.

[0038] Such as figure 2 Shown, the present invention has designed a kind of biomedical named entity recognition method based on universal language feature, and this method comprises the following steps:

[0039] Step 1. Annotate the biomedical text, and use BIEOS to annotate. Take the annotation of disease entities as an example: disease entities are annotated with BIEOS, and they are annotated as B-Disease, I-Disease, E-Disease, O , S-Disease, t...

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Abstract

The invention discloses a biomedical named entity recognition method and system based on general language characteristics. The method comprises the following steps of performing the named entity labeling on a biomedical text; extracting general language characteristics of the biomedical text; selecting the size of a context window and constructing a feature template by using general language features; inputting the labeled corpus and the formatting feature template into a conditional random field for model training to obtain a conditional random field model for biomedical field named entity recognition, performing biomedical named entity recognition on the biomedical text to be recognized by using the model, and finally outputting a recognition result; and an online biomedical named entityrecognition system is built by using a B/S architecture. According to the biomedical named entity recognition method and system based on the general language characteristics, the named entity recognition effect in the biomedical field is improved to a certain extent, and the universality and the use convenience of the system are improved.

Description

technical field [0001] The invention belongs to the field of biological text mining, and relates to a biomedical named entity recognition method and system based on general language features, specifically refers to the recognition and classification prediction of named entities in biomedical texts using text general language features and conditional random fields . Background technique [0002] In the field of natural language processing, named entity recognition is the basis of a series of complex natural language processing tasks such as text-based relationship extraction, event extraction, knowledge graph construction, information retrieval, and intelligent question answering. Correctly identify related named entities from text. The task of named entity recognition is to identify entities with specific meaning or strong references in the text, such as: person names, place names, organization names, etc. The task of named entity recognition in the field of biomedicine is...

Claims

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Application Information

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IPC IPC(8): G06F16/35G06F17/27G16H10/00
CPCG16H10/00G06F40/295
Inventor 李冬其他发明人请求不公开姓名
Owner CENT SOUTH UNIV
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