Multi-perspective Text Matching Algorithm Based on Multi-granularity Feature Convolution

Author:

Qiang Baohua1ORCID,Guo Zhiwen1ORCID,Xi Guangyong1ORCID,Guo Shuiping2ORCID,Wang Yufeng3ORCID,Yang Xianyi1ORCID,Wang Yuemeng3ORCID

Affiliation:

1. Guilin University of Electronic Technology, China

2. The 7th Research Institute of CETC, China

3. The 54th Research Institute of CETC, China

Funder

the Guilin Science and Technology Development Program

the Development Foundation of the 54th Research Institute of China Electronics Technology Group Corporation

the National Natural Science Foundation of China

the Development Foundation of the 7th Research Institute of China Electronics Technology Group Corporation

the Natural Science Foundation of Guangxi

the Innovation Project of GUET Graduate Education

the Guangxi Key Research and Development Program

Publisher

ACM

Reference33 articles.

1. Fan Y, Pang L, Hou J P, Matchzoo: A toolkit for deep text matching[J]. arXiv preprint arXiv:1707.07270, 2017.

2. Yao YJ, A Review of Intelligent Q&A Systems Based on Deep Learning[J]. Computer System Applications. 2023, 32(04), 1-15.

3. Li K, Research on information retrieval technology based on deep learning[D]. University of Electronic Science and Technology, 2021.

4. Shen Y, He X, Gao J, A Latent Semantic Model with Convolutional-pooling Structure for Information Retrieval[C]. Proceedings of the 23rd ACM International Conference on Information and Knowledge Management. ACM, 2014: 101-110.

5. Hu B, Lu Z, Li H, Convolutional Neural Network Architectures for Matching Natural Language Sentences[C]. Proceedings of the 27th International Conference on Neural Information Processing Systems (NIPS). ACM, 2014: 2042-2050.

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