Traditional Chinese medicine planting resource named entity identification method

Abstract

The invention provides a traditional Chinese medicine planting resource named entity identification method. The method comprises the following steps: S1, acquiring literatures of the traditional Chinese medicine planting resources; S2, labeling the traditional Chinese medicinal material planting resource literature according to a certain rule, and splitting the labeled literature into text sentences; S3, respectively searching a word vector and a character vector corresponding to each text sentence one by one, and training a GRU-CRF model by utilizing the word vectors and the character vectors; and S4, carrying out named entity identification on unknown traditional Chinese medicinal material planting resource literatures by utilizing the trained GRU-CRF model. According to the traditionalChinese medicine planting resource named entity identification method, by constructing the GRU-CRF model, the named entity of the traditional Chinese medicine planting resource literature can be automatically recognized, the recognition accuracy and recognition efficiency are greatly improved, the manual recognition time expenditure is reduced, and the method can be expanded to other named entitycategories such as the soil mineral content and the moisture content.

Description

technical field [0001] The invention relates to the technical field of named entity recognition of traditional Chinese medicine, in particular to a method for named entity recognition of Chinese medicine planting resources. Background technique [0002] The planting environment of Chinese medicinal materials has a great influence on the quality of medicinal materials. For example, there are great differences in the appearance, active ingredients and medicinal efficacy of Chinese medicinal materials from different origins. In order to study the impact of planting environment on the quality of Chinese medicinal materials, it is necessary to identify named entities related to the planting environment from a large number of unstructured literature on planting resources of Chinese medicinal materials, so as to provide basic data for further research. For example, the geographic location, name of traditional Chinese medicine, soil, climate, etc. corresponding to Chinese medicine p...

AI Technical Summary

Problems solved by technology

For example, the geographic location, name of traditional Chinese medicine, soil, climate, etc. corresponding to Chinese medicine planting are all called named entities. To identify these different named entities, the current method of identifying named entities is based on artificial + rules. First, through artificial means Organize the literature, and then use regular expressions to match to extract the required named entities. This identification method is too inefficient and does not meet the current research on the planting environment of Chinese herbal medicines.

Images