Dispute focus-based class case retrieval method, system and device and medium

Abstract

The invention discloses a dispute focus-based class case retrieval method and system, a dispute focus-based class case retrieval device and a medium, and relates to the field of natural language processing semantic similarity. The method comprises a dispute focus extraction processing step, a word segmentation processing step, a word vector acquisition processing step, a sentence vector acquisition processing step, a final dispute focus sentence vector acquisition processing step, an index database storage step, a final dispute focus sentence vector P acquisition step corresponding to a dispute focus to be retrieved and a corresponding retrieval step, a case corresponding to the topK similar dispute focus is obtained. According to the method, a sentence vector of a dispute focus is constructed by using a related model used for generating a word vector in the field of natural language processing, the construction method adopts an unsupervised mode, the complexity of manually labeling similar sentences is removed, the method is simple, and meanwhile, the method is based on semantic retrieval and is high in retrieval speed and accurate in retrieval result; and the recall rate and theaccuracy rate of class case retrieval based on dispute focuses are improved.

Description

technical field [0001] The present invention relates to the field of semantic similarity of natural language processing, in particular, to a similar case retrieval method, system, device and medium based on semantic vectorization of dispute focus. Background technique [0002] At present, the retrieval method of similar cases based on the focus of dispute mainly uses the traditional keyword technology or tf-idf technology, but the retrieval based on keyword can only recall the cases corresponding to the focus of dispute with the same keyword, and the weight of different keywords It is only based on tf-idf to assign values; in fact, the text expressions corresponding to the focus of controversy with the same semantics will be diverse, or the similarities in the focus of controversy may have different semantics; therefore, only using keyword technology is not very good As a result, the cases retrieved based on the dispute focus cannot provide accurate and effective auxiliary i...

AI Technical Summary

Problems solved by technology

[0002] At present, the retrieval method of similar cases based on the focus of dispute mainly uses the traditional keyword technology or tf-idf technology, but the retrieval based on keyword can only recall the cases corresponding to the focus of dispute with the same keyword, and the weight of different keywords It is only based on tf-idf to assign values; in fact, the text expressions corresponding to the focus of controversy with the same semantics will be diverse, or the similarities in the focus of controversy may have different semantics; therefore, only using keyword technology is not very good The semantics of representing the focus of disputes, resulting in the cases retrieved based on the focus of disputes cannot provide accurate and effective auxiliary information for judges

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