Text-based entity relationship extraction method and device

An entity relationship and text technology, applied in the field of text-based entity relationship extraction method and device, can solve the problems of loss of potential information, low accuracy rate, meaningless one-hot vector, etc., and achieve the effect of improving accuracy rate

Active Publication Date: 2020-01-17
BEIJING UNIV OF POSTS & TELECOMM
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0004] It can be seen from the above that this method regards entities as independent and meaningless one-hot vectors, thus losing the potentia...

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  • Text-based entity relationship extraction method and device
  • Text-based entity relationship extraction method and device
  • Text-based entity relationship extraction method and device

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Embodiment Construction

[0053] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0054] The symbols and definitions involved in some embodiments of the present invention will be briefly introduced below.

[0055] In order to solve the problems in the prior art, the embodiment of the present invention provides a text-based entity relationship extraction method and device.

[0056] see figure 1 , figure 1 A schematic flowchart of a text-based entity relationship extraction method provided by an embodiment of the present invention, applied ...

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Abstract

Embodiments of the invention provide a text-based entity relationship extraction method and device. The method comprises the steps of determining words in a description text to which a to-be-processedentity belongs in a to-be-processed text from a preset corpus as to-be-processed words; obtaining text vector representation according to the affiliation relationship between the to-be-processed entity and the to-be-processed text and the affiliation relationship between the to-be-processed word and the to-be-processed text; inputting the text vector representation into a preset relationship classification model to obtain the relationship between to-be-processed entities. According to the method, the entities to be processed and the description text to which the entities to be processed belong are introduced, so that the obtained text vector representation contains potential information existing in the entities to be processed, and therefore, the text classification accuracy can be improved by applying the method provided by the embodiment of the invention.

Description

technical field [0001] The invention relates to the technical field of natural language processing, in particular to a text-based entity relationship extraction method and device. Background technique [0002] Knowledge graphs are playing an increasingly important role in many natural language processing tasks, such as automatic question answering and dialogue generation. However, the existing knowledge graph is not perfect enough, resulting in a low accuracy rate when extracting the semantic relationship between entities from the original text. It can be seen that the importance of the relationship between entities in the text is extracted. [0003] The existing technology proposes an entity relationship extraction method, which is to learn the vector representation of the text through auxiliary information, obtain the vector representation of the text to be processed, and input the obtained vector representation into a preset classifier to obtain the text to be processed ...

Claims

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Application Information

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IPC IPC(8): G06F16/31G06F16/35G06F16/36G06N3/04G06N3/08
CPCG06F16/313G06F16/355G06F16/367G06N3/08G06N3/045
Inventor 胡琳梅石川张路浩
Owner BEIJING UNIV OF POSTS & TELECOMM
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