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Entity relationship extraction method and device

A technology of entity relationship and entity, applied in the computer field, can solve the problem of low accuracy of the model, and achieve the effect of low accuracy and accurate relationship extraction

Active Publication Date: 2022-02-18
NEW FOUNDER HLDG DEV LLC +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, existing remote supervised relation extraction methods are susceptible to noisy data, resulting in generally low model accuracy

Method used

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  • Entity relationship extraction method and device
  • Entity relationship extraction method and device
  • Entity relationship extraction method and device

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Embodiment Construction

[0048] By way of the above drawings, specific embodiments of the invention have been shown and will be described in more detail hereinafter. These drawings and written descriptions are not intended to limit the scope of the inventive concept in any way, but to illustrate the inventive concept for those skilled in the art by referring to specific embodiments.

[0049] Definitions of terms involved in the present invention;

[0050] Bidirectional Long Short-Term Memory: (Bidirectional Long Short-Term Memory, referred to as BiLSTM);

[0051] Term frequency: (Term Frequency, referred to as TF);

[0052] Inverse Document Frequency (IDF for short);

[0053] Commonly used weighting techniques for information retrieval and data mining (term frequency–inverse document frequency, TF-IDF for short).

[0054] The method for extracting entity relationship provided by the embodiment of the present invention belongs to deep learning neural network algorithm. The rise and development of t...

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Abstract

The present invention provides a method and device for extracting entity relations, the method comprising: generating a regular expression according to entity information and keywords of a training corpus; performing word segmentation on the training corpus to obtain a word segmentation result; converting the word segmentation result into a vector, and inputting the vector Neural network; input the vector into the first hidden layer of the neural network, and output the vector set; input the vector set into the second hidden layer of the neural network according to the regular expression, and output the vector expression; input the vector expression into the output layer of the neural network, Output the probability of the entity relationship category; perform relationship extraction on entity information according to the probability of the entity relationship category. By using the combination of regular expressions and neural networks to extract the relationship between entity information, the problem of low accuracy caused by the noise data interference of the remote supervision model is solved.

Description

technical field [0001] The invention relates to the field of computers, in particular to a method and device for extracting entity relations. Background technique [0002] The development and popularization of Internet technology has brought a lot of convenience to people's life. By extracting valuable information from the massive text data on the Internet, it plays a very important role and significance in improving people's life. Through information extraction technology, it is possible to extract structured data from massive natural language texts, thus providing effective help for people to build knowledge bases, automatic question answering, and text mining. [0003] In the process of building a knowledge base based on information extraction technology, relational extraction technology is usually used to extract triples from unstructured text for building a knowledge base. With the continuous increase of data in the network, the information in the knowledge base also n...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F40/295G06F40/30G06F16/33G06F16/35G06K9/62G06N3/04G06N3/08
CPCG06F16/3344G06F16/35G06N3/08G06N3/044G06N3/045G06F18/2415G06F18/241
Inventor 贾丹丹张丹于琳琳王九硕
Owner NEW FOUNDER HLDG DEV LLC
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