Entity relation extracting method and device for text processing

An entity relationship, text processing technology, applied in the direction of digital data processing, special data processing applications, natural language data processing, etc., to improve the recall rate and solve the effect of high accuracy and low recall

Active Publication Date: 2018-11-06
DATAGRAND TECH INC
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Problems solved by technology

[0005] The main purpose of this application is to provide an entity relationship extraction metho...

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  • Entity relation extracting method and device for text processing
  • Entity relation extracting method and device for text processing
  • Entity relation extracting method and device for text processing

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Embodiment Construction

[0026] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiment of the application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiment of the application. Obviously, the described embodiment is only It is an embodiment of a part of the application, but not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the scope of protection of this application.

[0027] It should be noted that the terms "comprising" and "having" in the specification and claims of the present application and the above-mentioned drawings, as well as any variations thereof, are intended to cover non-exclusive inclusion, for example, including a series of steps or units A process, method, system, product or device is not necessaril...

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Abstract

The invention discloses an entity relation extracting method and device for text processing. The method comprises the steps of inputting a to-be-processed text; identifying entities in the to-be-processed text, wherein the to-be-processed text comprises multiple entities; screening the entities according to preset examples to obtain context features of input instances; calculating context similarity between the input instances and seed examples in a seed example library through the context features; judging whether the context similarity is greater than a first preset threshold value or not; if the similarity is greater than the first preset threshold value, performing statistics on the number of the seed examples with the similarity greater than the preset threshold value; judging whetherthe number of the seed examples with the similarity greater than the preset threshold value is greater than a second preset threshold value or not; and if the number of the seed examples with the similarity greater than the preset threshold value is greater than the second preset threshold value, taking the input instances as entity relation instances obtained by the text processing. According tothe entity relation extracting method and device, the technical problems of high accuracy and low recall of a rule method are solved.

Description

technical field [0001] The present application relates to the technical field of text processing, in particular, to an entity relationship extraction method and device for text processing. Background technique [0002] With the rapid development of the Internet, the Internet has become the main channel for people to obtain information, and the text data on the Internet has also shown explosive growth. The text data on the Internet contains a wealth of information, which plays a very important role in building knowledge bases and knowledge graphs; however, the workload of manual knowledge extraction is extremely huge. If the computer can be used to automatically extract useful information, it will be very important. very important meaning. However, almost all text data on the Internet is unstructured data in the form of natural language, which cannot be directly processed by computers. [0003] In order to solve this problem, information extraction technology emerges as the...

Claims

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Application Information

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IPC IPC(8): G06F17/27G06F17/30G06K9/62
CPCG06F40/289G06F18/214
Inventor 朱耀邦高翔纪达麒陈运文
Owner DATAGRAND TECH INC
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