Title: A fast retrieval method for legal judgment documents based on multi-granularity semantic interaction understanding

Authors: Jianhua Guo

Addresses: Department of Science of Education, Puyang Vocational and Technical College, Hualong District, Puyang, China

Abstract: In order to improve the normalised loss gain and recall rate of information retrieval results, the paper proposes a fast retrieval method based on multi-granularity semantic interaction understanding for legal judgment documents. After constructing a multi-granularity encoder, establish a local semantic interaction understanding module and a global semantic interaction understanding module are established to extract the associated information of each statement in the document from the perspective of statements and paragraphs. Then, the attention signal of the target statement is obtained, the semantic matching score is calculated and weighted to obtain the final search result. Experiment shows that after applying this method, the semantic interaction understanding recall rate of document information remains around 98.0%, the F1 statistical value of the search result is higher than 90.0, and the normalised loss gain of document is close to 1, indicating the effectiveness of this method.

Keywords: multi-granularity semantic interaction understanding; legal judgment documents; information retrieval; semantic matching.

DOI: 10.1504/IJCAT.2024.143304

International Journal of Computer Applications in Technology, 2024 Vol.74 No.4, pp.324 - 332

Received: 15 Mar 2024
Accepted: 08 Jul 2024
Published online: 12 Dec 2024 *

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