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Entity relationship extraction method based on dependency syntactic analysis and rules

A technology that relies on syntax and entity relationships, applied in the fields of natural language processing and semantic analysis, can solve the problems of inconsistent data sources, lack of consensus standards, and reduced data authenticity, and achieves improved computing efficiency, strong versatility, and fast speed. Effect

Pending Publication Date: 2019-11-26
WUHAN INSTITUTE OF TECHNOLOGY
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Problems solved by technology

There is still a lot of room for improvement in the open entity relationship extraction method: first, due to the inconsistency of data sources, the entity relationship extraction result evaluation system has not yet reached a consensus standard; second, most of the current experiments are based on a large number of data cleaning. If it is performed on the clean data afterwards, the authenticity of the data will inevitably decline.

Method used

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  • Entity relationship extraction method based on dependency syntactic analysis and rules
  • Entity relationship extraction method based on dependency syntactic analysis and rules
  • Entity relationship extraction method based on dependency syntactic analysis and rules

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Embodiment Construction

[0042] The present invention will be further described in detail below with reference to the drawings and specific embodiments.

[0043] See figure 1 , Using the entity relationship extraction method based on dependency syntax analysis and rules of the present invention to extract the entity relationship of the sentence "Chinese enterprises will strive to catch up with the scientific and technological engineering construction of enterprises of various countries." includes the following steps:

[0044] S1: Input text and preprocess to form a data set:

[0045] S11: Enter the text "Chinese enterprises will strive to catch up with the scientific and technological engineering construction of enterprises of other countries.";

[0046] S12: Integrate the text into a unified txt or word storage format to form a data set.

[0047] S2: Use the period as the ending point of the sentence to divide the text in the data set into multiple sentences, and update the data set:

[0048] S21: Traverse the ...

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Abstract

The invention provides an entity relationship extraction method based on dependency syntactic analysis and rules. According to the method, the dependency relationship between the syntactic structure of the sentence and the entity in the sentence is determined through dependency syntactic analysis, the entity relationship in the text is recognized and extracted by making a rule, formation of the triad is restrained, and the accuracy of entity relationship extraction is improved. According to the method, the input text is directly extracted, a keyword library does not need to be formed, and universality is high, the triple output speed is high, and the operation efficiency is improved.

Description

Technical field [0001] The invention belongs to the technical field of natural language processing and semantic analysis, and specifically relates to an entity relationship extraction method based on dependency syntax analysis and rules. Background technique [0002] The rapid development of Internet technology and the advent of the era of big data have led to a rapid increase in the amount of Internet information. How to obtain content that people are interested in from the massive amount of information has become the focus of natural language processing. The Defense Advanced Research Project Agency (DARPA, defense advanced research project agency) introduced the entity relationship extraction task for the first time at the last message understanding conference (MUC, message understanding conference) funded in 1998. The entity relationship extraction is in natural language processing. The more important subtasks are also an important part of semantic analysis. In the developmen...

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Application Information

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IPC IPC(8): G06F16/36G06F17/27
CPCG06F16/367Y02D10/00
Inventor 李晓林范佳莹刘玮陈灯李道庆胡泽荣邓庆康潘治霖
Owner WUHAN INSTITUTE OF TECHNOLOGY
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