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A Judicial Text Classification Method and System Based on Attention Mechanism

A text classification and attention technology, which is applied in text database clustering/classification, unstructured text data retrieval, special data processing applications, etc., can solve the problem of insufficient deep semantic expression and achieve accurate and rich semantic information, The effect of saving time and cost

Active Publication Date: 2021-12-03
ENJOYOR COMPANY LIMITED
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AI Technical Summary

Problems solved by technology

The present invention adopts a multi-head self-attention mechanism, expands the ability of the model to pay attention to different positions, solves the problem of multi-themes and insufficient deep semantic expression of Chinese text, and makes the semantic information represented by Chinese text more accurate and rich; at the same time, it saves time and cost

Method used

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  • A Judicial Text Classification Method and System Based on Attention Mechanism
  • A Judicial Text Classification Method and System Based on Attention Mechanism
  • A Judicial Text Classification Method and System Based on Attention Mechanism

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Embodiment

[0044] Embodiment: a kind of judicial text classification system based on attention mechanism, comprises data collection module, feature extraction module, feature fine-tuning module, network training module; Described data collection module is used for collecting the question-and-answer data of judicial field, and collects The obtained questions and answers are preprocessed by data cleaning, word segmentation and stop word removal to form answer datasets and question datasets; the feature extraction module uses the self-attention mechanism to extract question data features and answer data features; the feature fine-tuning module uses The collaborative attention mechanism fine-tunes the question features according to the answer features, and updates the question features; the network training module uses the lstm long short memory network for classification training to obtain the final classification model.

[0045] Such as figure 1 As shown, a judicial text classification met...

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Abstract

The present invention relates to a judicial text classification method and system based on an attention mechanism. The present invention mainly includes data preprocessing operations, data vectorization processing, self-learning by using a self-attention mechanism, and clarifying the intention of a problem by using a cooperative attention mechanism. Use lstm to train text classification model. The invention adopts a multi-head self-attention mechanism, expands the ability of the model to focus on different positions, and solves the problems of multi-themes and insufficient deep semantic expression of Chinese texts, making the semantic information represented by Chinese texts more accurate and rich; at the same time saving time and cost.

Description

technical field [0001] The invention relates to the field of natural language processing, in particular to a judicial text classification method and system based on an attention mechanism. Background technique [0002] Search engine technology is a new technology that has emerged in the development of the Internet in recent years. The purpose of its application is to help Internet users quickly find and display the information they need in the vast amount of information. With the rapid growth of network information, search engines have become an essential tool for modern people to access information online. Legal search is a complex, systematic, and cumbersome project or task. How to find the desired content from thousands of judgment documents requires careful arrangement and design. The legal search engine can help users quickly find and display the information they need in the massive judicial library. For example, there are tens of millions of judgment documents on the...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/35
CPCG06F16/353G06F16/355
Inventor 金佳佳丁锴蒋立靓陈涛李建元
Owner ENJOYOR COMPANY LIMITED
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