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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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-03-01
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| Series: | Frontiers in Bioengineering and Biotechnology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fbioe.2022.839586/full |
| _version_ | 1811329662461149184 |
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| author | Xin Wang Huimin Yang |
| author_facet | Xin Wang Huimin Yang |
| author_sort | Xin Wang |
| collection | DOAJ |
| description | 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 semantic similarity and shallow semantic similarity of input sentences to completely mine similar information between sentences. Moreover, to alleviate the problem of out of vocabulary in sentences, we have combined both word and character granularity in deep semantic similarity to further learn information. Finally, comparative experiments were carried out on the Chinese data set LCQMC. The experimental results confirm the effectiveness and generalization ability of this method, and several ablation experiments also show the importance of each part of the model. |
| first_indexed | 2024-04-13T15:47:46Z |
| format | Article |
| id | doaj.art-9e46c6888b434a98a3c1dff91ed653e2 |
| institution | Directory Open Access Journal |
| issn | 2296-4185 |
| language | English |
| last_indexed | 2024-04-13T15:47:46Z |
| publishDate | 2022-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Bioengineering and Biotechnology |
| spelling | doaj.art-9e46c6888b434a98a3c1dff91ed653e22022-12-22T02:40:55ZengFrontiers Media S.A.Frontiers in Bioengineering and Biotechnology2296-41852022-03-011010.3389/fbioe.2022.839586839586MGMSN: Multi-Granularity Matching Model Based on Siamese Neural NetworkXin Wang0Huimin Yang1Huafeng Meteorological Media Group, Beijing, ChinaCollege of Computer and Software, Nanjing University of Information Science Technology, Nanjing, ChinaAiming 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 semantic similarity and shallow semantic similarity of input sentences to completely mine similar information between sentences. Moreover, to alleviate the problem of out of vocabulary in sentences, we have combined both word and character granularity in deep semantic similarity to further learn information. Finally, comparative experiments were carried out on the Chinese data set LCQMC. The experimental results confirm the effectiveness and generalization ability of this method, and several ablation experiments also show the importance of each part of the model.https://www.frontiersin.org/articles/10.3389/fbioe.2022.839586/fullconversation systemretrieval modelsemantic matchingSiamese neural networkmulti-granularity |
| spellingShingle | Xin Wang Huimin Yang MGMSN: Multi-Granularity Matching Model Based on Siamese Neural Network Frontiers in Bioengineering and Biotechnology conversation system retrieval model semantic matching Siamese neural network multi-granularity |
| title | MGMSN: Multi-Granularity Matching Model Based on Siamese Neural Network |
| title_full | MGMSN: Multi-Granularity Matching Model Based on Siamese Neural Network |
| title_fullStr | MGMSN: Multi-Granularity Matching Model Based on Siamese Neural Network |
| title_full_unstemmed | MGMSN: Multi-Granularity Matching Model Based on Siamese Neural Network |
| title_short | MGMSN: Multi-Granularity Matching Model Based on Siamese Neural Network |
| title_sort | mgmsn multi granularity matching model based on siamese neural network |
| topic | conversation system retrieval model semantic matching Siamese neural network multi-granularity |
| url | https://www.frontiersin.org/articles/10.3389/fbioe.2022.839586/full |
| work_keys_str_mv | AT xinwang mgmsnmultigranularitymatchingmodelbasedonsiameseneuralnetwork AT huiminyang mgmsnmultigranularitymatchingmodelbasedonsiameseneuralnetwork |