Dispute focus automatic identification method based on hierarchical attention neural network model

A neural network model and automatic identification technology, applied in biological neural network models, neural learning methods, special data processing applications, etc., can solve the problems of unfavorable large-scale expansion, time-consuming and laborious construction process, etc.

Active Publication Date: 2020-05-12
ZHEJIANG UNIV
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Problems solved by technology

[0003] However, on the one hand, in order to automatically identify the focus of disputes in documents, it is necessary to establish a focus of dispute system for each field, but the construction of the focus of dispute system relies on domain experts, and the construction process is time-consuming and laborious, which is not conducive to large-scale expansion; on the other hand, in legal documents Among them, different words and sentences contain different levels of "information" and have different effects on judging the focus of disputes. When building an automatic identification model for the focus of disputes, it is necessary to pay attention to the role played by different words and sentences

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  • Dispute focus automatic identification method based on hierarchical attention neural network model
  • Dispute focus automatic identification method based on hierarchical attention neural network model
  • Dispute focus automatic identification method based on hierarchical attention neural network model

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Embodiment

[0082] Below in conjunction with the method of the present invention describe in detail the concrete steps that this embodiment implements, as follows:

[0083] In this embodiment, the method of the present invention is applied to court judgment documents in the field of commercial housing sales disputes, and the focus of disputes in the documents is automatically identified.

[0084] 1) Use regular expressions to process a total of about 336,000 judgment documents, and extract the court's summary and expression of the disputed focus of the case. Among them, there are more than 15,000 documents containing expressions of the focus of disputes. From these 15,000 documents, a total of 6,418 non-repetitive sentences expressing the focus of disputes can be obtained. First, the TF-IDF algorithm is used to vectorize the text. First, preprocess the text by cutting words and removing stop words, and then build a word bag space. Read all the documents into the program, and follow the...

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Abstract

The invention discloses a dispute focus automatic identification method based on a hierarchical attention neural network model. The method comprises the steps of firstly, extracting a dispute focus statement of a court for case induction from a document containing a dispute focus induced by the court, and constructing a dispute focus system by utilizing a hierarchical clustering method; and marking a plurality of different category labels for each document by utilizing the dispute focus system, constructing a data set, and converting a dispute focus identification problem into a multi-label multi-classification problem; then, training a hierarchical attention neural network model, paying more attention to important words, sentences and paragraphs containing more information, and forming adispute focus recognizer; and finally, inputting the text of which the dispute focus needs to be identified into a dispute focus identifier to obtain the dispute focus of the input text. The method ishigh in prediction accuracy, can accurately identify and judge the dispute focus of the document, and has good expandability.

Description

technical field [0001] The invention relates to an automatic identification method for dispute focus based on a layered attention neural network model. Background technique [0002] Legal service is a traditional industry, but it is also an industry with great potential. In order to improve the efficiency of legal services, reform the traditional form of legal services, use artificial intelligence technology to assist in identifying the focus of disputes in documents, so as to help people judge and understand the focus of disputes in cases faster and better. [0003] However, on the one hand, in order to automatically identify the focus of disputes in documents, it is necessary to establish a focus of dispute system for each field, but the construction of the focus of dispute system relies on domain experts, and the construction process is time-consuming and laborious, which is not conducive to large-scale expansion; on the other hand, in legal documents In , different word...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/35G06F40/30G06N3/08
CPCG06F16/35G06N3/08
Inventor 鲁伟明贾程皓庄越挺
Owner ZHEJIANG UNIV
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