Method and device for constructing legal text syntax tree based on deep neural network

A deep neural network and syntax tree technology, applied in the field of computer information processing, can solve problems such as semantic deviation, few research results, and lack of system

Active Publication Date: 2016-12-07
CHONGQING MEGALIGHT TECH CO LTD
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Problems solved by technology

An important reason for this is the lack of a systematic approach to constructing syntax trees
[0008] In addition, most of the current research focuses on language models such as English. For Chinese, especially in some vertical fields, such as legal services, medical services and other fields, there are still few relevant research results at home and abroad.
[0009] To sum up, there is no systematic method in the prior art to construct a syntax tree for professional language understanding in the field of legal services, and there are serious semantic deviation problems in the existing legal language understanding

Method used

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  • Method and device for constructing legal text syntax tree based on deep neural network
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  • Method and device for constructing legal text syntax tree based on deep neural network

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[0038] Embodiments of the technical solutions of the present invention will be described in detail below with reference to the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solutions of the present invention, and are therefore only used as examples, and cannot be used to limit the protection scope of the present invention.

[0039] The invention proposes a legal text syntax tree training method under deep learning. This method converts the data-cleaned legal text into word vectors using word2vec, and then submits these word vectors to the continuous bag-of-words model to obtain the sparse word embedding representation of the text at the word segmentation level. Then design a neural network model based on standard transformation according to sparse words, which can complete part-of-speech / part-of-speech tagging (divided according to the function of words in context, words include nouns, pronouns, verbs, adjectives, adver...

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Abstract

The invention provides a method and device for constructing a legal text syntax tree based on a deep neutral network. The method comprises the following steps: acquiring a training text of the legal service; performing word vector sparse representation on the training text; performing semantic annotation on the training text through the DNN according to the word vector sparse representation; performing dependency description on the training text according to the semantic annotation to construct the legal text syntax tree. The invention provides a systematic method to construct the syntax tree about technical language understanding in the legal service field, and the global-local training is used for solving the semantic bias problem in the legal language understanding.

Description

technical field [0001] The invention relates to the technical field of computer information processing, in particular to a method and device for constructing a legal text syntax tree based on a deep neural network. Background technique [0002] The use of Internet technology to promote legal services is an effective way to solve the current problems of insufficient supply, incomplete coverage, and unbalanced development of legal services. After more than ten years of development, great progress has been made in the field of "Internet + legal services" in China. A large number of legal e-commerce companies have emerged, and more interactive websites such as search websites, background introductions of lawyers, and contact information for clients' reference have emerged. Legal Advisory Services. [0003] However, most of these legal consulting services use conventional data mining, expert systems, text retrieval and other technologies, which are not enough to support intell...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/22G06N3/02
CPCG06N3/02G06F40/154G06F40/16
Inventor 彭德光李鹏华孙健利节刘太林赵芬
Owner CHONGQING MEGALIGHT TECH CO LTD
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