Method and device for extracting concerned phrases in text, storage medium and equipment

By constructing inverted index and multimodal matching models, the text is detected and collected, and similar variants with a distance less than the threshold of the editing of the phrase of concern are solved, which solves the problem that similar variants of the phrase of concern in the text cannot be fully identified in the prior art, and improves the accuracy of recognition.

CN119646115AActive Publication Date: 2025-03-18BEIJING UCAP INTERNET TECH
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Patent Information

Application Number
CN202411682398.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-22
Publication Date
2025-03-18
Estimated Expiration
2044-11-22

AI Technical Summary

Technical Problem

When using synonyms or synonyms dictionaries in the prior art, similar variants of the phrases of interest in the text cannot be fully identified, resulting in inaccurate recognition.

Method used

By constructing inverted index and multimode matching models, the input text is detected using the multimode matching model, multiple fragments are generated, and fragments are collected through inverted index, segmenting and filtering candidate fragments according to preset editing distances, and finally identifying similar variants with the editing distance of the focus phrase less than the threshold.

Benefits of technology

Improve the accuracy of recognition of similar variants of attention phrases in the text, allowing more comprehensive recognition of attention phrases in the text.

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Abstract

The invention discloses a method and device for extracting concerned phrases in a text, a storage medium and equipment, and belongs to the technical field of computers. The method comprises the following steps: acquiring a reverse index and a multimode matching model which are constructed for concerned phrases; detecting an input text by utilizing the multi-mode matching model to obtain a plurality of fragments; collecting the plurality of fragments by using an inverted index to obtain a first fragment set; segmenting the first fragment set according to a preset editing distance to obtain multiple groups of second fragment sets; for each group of second fragment sets, screening candidate fragments according to editing distances between fragments in the second fragment sets and the concerned phrases; and combining the candidate fragments in each group of the second fragment sets into similar variants of the concerned phrases, and identifying the similar variants of which the editing distances to the concerned phrases are greater than a predetermined threshold value as the concerned phrases. According to the method, the similar variants of the concerned phrases in the text can be identified as the concerned phrases by utilizing the improved multi-mode detection model and the inverted index, so that the extraction accuracy is improved.
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