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Method for automatically extracting Traditional Chinese Medicine acupuncture entity relationship

An entity relationship and automatic extraction technology, applied in the fields of information, traditional Chinese medicine and acupuncture

Inactive Publication Date: 2016-03-09
FUJIAN UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, the research on the key technology of extracting entity relationship in the field of acupuncture and moxibustion of traditional Chinese medicine is still blank.

Method used

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  • Method for automatically extracting Traditional Chinese Medicine acupuncture entity relationship
  • Method for automatically extracting Traditional Chinese Medicine acupuncture entity relationship
  • Method for automatically extracting Traditional Chinese Medicine acupuncture entity relationship

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0049] Such as figure 1 A method for automatically extracting entity relations in the field of acupuncture and moxibustion of traditional Chinese medicine is shown, including the following steps:

[0050] (1) Define the named entity and entity relationship type system in the field of acupuncture and moxibustion of traditional Chinese medicine:

[0051] Table 1 Types of named entities in the field of acupuncture and moxibustion of traditional Chinese medicine and their labeling examples

[0052]

[0053]

[0054] Table 2 Entity relationship types and labeling examples in the field of acupuncture and moxibustion of traditional Chinese medicine

[0055]

[0056] By analyzing and summarizing the characteristics of texts in the field of acupuncture and moxibustion of traditional Chinese medicine, this technical solution predefines five types of named entity types in the field of acupuncture and moxibustion of traditional Chinese medicine and four types of entity relations...

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PUM

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Abstract

The present invention discloses a method for automatically extracting a Traditional Chinese Medicine (TCM) acupuncture entity relationship. The method comprises the following steps: step 1), defining a TCM acupuncture naming entity and entity relationship type system; step 2), constructing a TCM acupuncture entity relationship corpus; Step 3), constructing a TCM acupuncture entity relationship feature template; Step 4), constructing a TCM acupuncture entity relationship instance vectorization module; and Step 5), training and assessing a TCM acupuncture entity relationship classification model. According to the technical scheme of the present invention, a TCM acupuncture entity relationship extraction model is constructed according to features of TCM acupuncture documents. The model completes the task of extracting a TCM acupuncture entity relationship from the TCM acupuncture documents well. F values of DM, HM, AM and DRM entity relationship classification models reach 93.25%, 87.19%, 86.57% and 84.57%, respectively, and a blank in relevant study is filled.

Description

technical field [0001] The invention belongs to the field of information technology. Specifically, the invention relates to a method for automatically extracting entity relations in the field of traditional Chinese medicine and acupuncture. Background technique [0002] Relation extraction is an indispensable part of information extraction and natural language understanding technology, and its main purpose is to identify the semantic relationship between two entities expressed in natural language. The research on relational extraction technology has very positive significance for information retrieval, question answering system, information filtering, machine translation, etc. In the field of biomedicine, the task of relation extraction is to extract the semantic relationship between various biomedical entities (diseases, drugs, genes, proteins, etc.) from biomedical texts, and express them in a way that people can understand. , to help biomedical researchers solve the prob...

Claims

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Application Information

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IPC IPC(8): G06F19/00
CPCG06F19/32
Inventor 孙水华
Owner FUJIAN UNIV OF TECH
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