DIFM: An Effective Deep Interaction and Fusion Model for Sentence Matching-Reference-Cited by-同舟云学术

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DIFM: An Effective Deep Interaction and Fusion Model for Sentence Matching

Published:2022 Issue: Volume: Page:19-30
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Jiang Kexin,Zhao Yahui,Cui Rongyi

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-18315-7_2

Reference25 articles.

1. Borges, L., Martins, B., Calado, P.: Combining similarity features and deep representation learning for stance detection in the context of checking fake news. J. Data Inf. Qual. (JDIQ) 11(3), 1–26 (2019)

2. Bowman, S., Potts, C., Manning, C.D.: Recursive neural networks can learn logical semantics. In: Proceedings of the 3rd Workshop on Continuous Vector Space Models and their Compositionality, pp. 12–21 (2015)

3. Bowman, S.R., Angeli, G., Potts, C., Manning, C.D.: A large annotated corpus for learning natural language inference. In: Conference on Empirical Methods in Natural Language Processing, EMNLP 2015, pp. 632–642. Association for Computational Linguistics (ACL) (2015)

4. Bowman, S.R., Gupta, R., Gauthier, J., Manning, C.D., Rastogi, A., Potts, C.: A fast unified model for parsing and sentence understanding. In: 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016, pp. 1466–1477. Association for Computational Linguistics (ACL) (2016)

5. Chen, Q., Zhu, X., Ling, Z.H., Wei, S., Jiang, H., Inkpen, D.: Enhanced LSTM for natural language inference. In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 1657–1668 (2017)

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3. KETM:A Knowledge-Enhanced Text Matching method;2023 International Joint Conference on Neural Networks (IJCNN);2023-06-18

4. DEIM: An effective deep encoding and interaction model for sentence matching;2022 4th International Conference on Artificial Intelligence and Advanced Manufacturing (AIAM);2022-10

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