Legal document analysis method based on case factors

Abstract

The invention discloses a legal document analysis method based on a case element, which comprises the following steps of: 1, extracting case description information from a legal document by utilizinga machine learning algorithm, and labeling case description according to the priority of case element labeling; 2, carrying out data preprocessing: identifying the case elements marked in the step 1;and 3, carrying out case element identification based on the deep neural network: taking the labeled document data as the original input of the labeling model to realize end-to-end case element identification. By carrying out flattening associated case element labeling on legal documents, processing labeled document data into a classical BIO sequence labeling format by taking sentences as units, and identifying case elements in documents by adopting a related sequence labeling model, case element recognition is beneficial to structural representation of legal documents, supports fusion analysis of legal documents and other application researches, and brings great convenience to information retrieval, automatic review and other practice applications of the legal documents.

Description

technical field [0001] The invention relates to a legal document, in particular to a legal document analysis method based on case elements, and belongs to the technical field of natural language processing. Background technique [0002] In 2018, version 3.0 of smart courts entered the stage of comprehensive construction, deepening and improvement, and courts at all levels are actively promoting the deep integration of the Internet, Internet of Things, big data, artificial intelligence and court work. Artificial intelligence is rapidly transforming the judicial field and promoting intelligent practice in the judicial field. During the long-term judicial practice, the courts have accumulated a large number of legal documents, which contain huge value, but it is extremely difficult to effectively use the legal documents with typical characteristics by traditional manual means. Artificial intelligence can be used to process legal documents, such as voice-to-text conversion in c...

AI Technical Summary

Problems solved by technology

The traditional method uses a tree structure (grammatical tree or dependency tree) to represent the sentence structure. Although the tree structure can well represent the relationship between the semantic roles in the sentence, the nested annotations in the tree structure increase the annotation of the corpus. burden and cause ambiguity in sentence parsing

To identify the key elements in a sentence, the traditional method is syntactic analysis, but syntactic analysis needs to analyze the structure of the entire sentence, relying on natural language processing technologies such as word segmentation and part-of-speech tagging. Therefore, the identification is difficult and the performance is relatively low

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