End-to-end judicial document automatic proofreading method based on deep learning

A technology of automatic proofreading and deep learning, applied in neural learning methods, natural language data processing, instruments, etc.

Inactive Publication Date: 2020-11-24
HARBIN INST OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] The purpose of the present invention is to propose an end-to-end automatic proofreading method for judicial documents based on deep learning to solve the deficiencies in existing automatic text proofreading methods

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  • End-to-end judicial document automatic proofreading method based on deep learning
  • End-to-end judicial document automatic proofreading method based on deep learning
  • End-to-end judicial document automatic proofreading method based on deep learning

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Embodiment Construction

[0028] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with 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.

[0029] The present invention draws on the Transformer encoder-decoder model that is significantly better than other structures (cyclic neural network, convolutional neural network) on machine translation tasks, and transforms grammatical error correction into monolingual machine translation tasks, which we will introduce in detail The specific structure of the Transformer model, as well as the model loss function and training criteria.

[0030] An end-to-end jud...

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Abstract

The invention discloses an end-to-end judicial document automatic proofreading method based on deep learning, and belongs to the technical field of natural language processing. The automatic proofreading method comprises the following steps: step 1, proposing a Transformer model structure; 2, training the Transformer model, and obtaining the likelihood of the maximized model on training data S; and 3, introducing a length penalty term into the likelihood obtained in the step 2 to obtain a decoding strategy. The encoder-decoder model-Transformer based on the self-attention mechanism is used, the defects of the recurrent neural network and the convolutional neural network are effectively avoided, and the performance of the encoder-decoder model based on the recurrent neural network and the convolutional neural network is far higher than that of the encoder-decoder model based on the recurrent neural network and the convolutional neural network.

Description

technical field [0001] The invention relates to an end-to-end automatic proofreading method for judicial documents based on deep learning, and belongs to the technical field of natural language processing. Background technique [0002] With the gradual improvement of informatization in the judicial field, a large number of judicial documents are produced. In the face of a large number of judicial documents, judicial documents written by humans will inevitably have some hidden grammatical errors. Proofreading mainly poses serious challenges. Correcting the hidden grammatical errors in the text can not only make the writing more fluent and easy to read, but judicial documents, as the carrier of law enforcement, will have a huge impact if there are grammatical or logical errors, and based on manual proofreading A large amount of text is obviously unrealistic, which makes text error correction technology more and more attention in recent years. [0003] Compared with tasks suc...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F40/253G06K9/62G06N3/04G06N3/08
CPCG06F40/253G06N3/08G06N3/045G06F18/2415
Inventor 朱海麒姜峰
Owner HARBIN INST OF TECH
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