A method and system for searching and sorting judicial texts

Abstract

A search and sorting method and system for judicial texts, wherein the method includes (1) data preprocessing: collecting judicial text data Doc and legal consulting question Query, and performing word segmentation processing on the collected judicial text data Doc, using the word segmentation Data pre-training of judicial text word vectors; (2) building similarity matrix: using pre-trained word vectors to construct similarity matching matrix M of Query and Doc; (3) intercepting relevant text fragments: according to matching matrix M of Query and Doc Extract local correlation text fragments, splicing multiple local correlation text fragments together to obtain correlation text Ds, and splicing matching matrices of corresponding multiple local correlation text fragments together to obtain matrix Ms; (4) Construct feature vector: calculate Query and the global correlation of the relevant text Ds, construct the feature vector F; (5) Calculate the matching value and sort: input the obtained feature vector F into the neural network model, get the matching score of Query and Doc, according to the size of the matching score put in order.

Description

technical field [0001] The invention belongs to the field of natural language processing, and relates to a search and sorting method and system for judicial texts. Background technique [0002] The core of the search sorting algorithm is how to calculate the relationship between the search input (Query) and the target document (Doc) and sort the Doc accordingly. The patent CN201710263575.6 sorts the retrieved documents through preset sorting rules. The preset rules take a lot of time to analyze the feasibility of the rule template, and the user's input and intention are highly uncertain. It is difficult to exhaust all Sorting rules, sorting results have certain unpredictability. The patent CN201710348412.8 extracts keywords and makes a thesaurus dictionary to expand the search results, and then uses the preset sorting rules to sort. Patent CN201710298924.8 extracts the topics of Query and Doc, and calculates the similarity between topics as a sorting criterion. At present...

AI Technical Summary

Problems solved by technology

Judicial text data is like adjudication documents, often thousands of words, up to several million words, but the query in the search is often dozens of words or even a few words, so the similarity is used when the length of the query and the doc are seriously inconsistent method to retrieve and sort the results presented to the user may not be very good

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