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Agricultural field relation extracting method based on syntactic-semantic

A technology of domain relationship and agriculture, applied in the field of natural language processing, can solve the problems of lack of semantic information, prone to wrong judgment, etc., and achieve the effect of accurate relationship extraction

Inactive Publication Date: 2018-11-30
FUZHOU UNIV
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Problems solved by technology

So far, many previous relation extraction methods operate directly on the original word sequence or one-hot code, so it is often limited by the lack of semantic information, which makes it prone to wrong judgments when performing classification

Method used

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  • Agricultural field relation extracting method based on syntactic-semantic
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  • Agricultural field relation extracting method based on syntactic-semantic

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Embodiment Construction

[0042] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0043] It should be pointed out that the following detailed description is exemplary and intended to provide further explanation to the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0044]It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combination...

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Abstract

The invention relates to an agricultural field relation extracting method based on syntactic-semantic. The method comprises the following steps: firstly extracting texts related to agricultural knowledge from an agricultural professional website; organizing the collected texts, and removing unrelated texts, to obtain the text related to the agricultural field; combining a predetermined relation type, performing artificial labelling on the agricultural field text, and building a corpus of the agricultural field; according to a determined characteristic type, performing feature extraction on thetext, and building a feature vector; and finally, modeling by using a SVM pair classifier, to obtain a relation classification model towards the agricultural field. The method has the better extracting effect.

Description

technical field [0001] The invention relates to the field of natural language processing, in particular to a method for extracting relations in the agricultural field based on syntax and semantics. Background technique [0002] "Big data" and "Internet +" are developing at a high speed, and agricultural information data is growing geometrically. The number of agricultural websites in China is extremely large, and the speed of development is very rapid. Such a large amount of digital agricultural knowledge makes people overwhelmed, and most of the results obtained by relying on search engines exist in an unstructured form, and users need to further understand and filter. In this context, information extraction in the field of natural language processing is being widely used as a technology to help people streamline information. The purpose of information extraction is to extract structured or semi-structured information from unstructured text, and store it in the database to...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/27G06F17/30
CPCG06F40/211G06F40/289G06F40/30
Inventor 陈星陈艺燕戴远飞郭晨皓张祖文
Owner FUZHOU UNIV
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