MGMSN: Multi-Granularity Matching Model Based on Siamese Neural Network

MGMSN: Multi-Granularity Matching Model Based on Siamese Neural Network

Aiming to overcome the shortcomings of the existing text matching algorithms, in this research, we have studied the related technologies of sentence matching and dialogue retrieval and proposed a multi-granularity matching model based on Siamese neural networks. This method considers both deep seman...

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Bibliographic Details
Main Authors: Xin Wang, Huimin Yang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-03-01
Series:Frontiers in Bioengineering and Biotechnology
Subjects:
conversation system
retrieval model
semantic matching
Siamese neural network
multi-granularity
Online Access:https://www.frontiersin.org/articles/10.3389/fbioe.2022.839586/full

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