Multi-view pre-trained transformer via hierarchical capsule network for answer sentence selection-Reference-Cited by-同舟云学术

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Multi-view pre-trained transformer via hierarchical capsule network for answer sentence selection

Published:2024-08-20 Issue: Volume: Page:
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Li Bing,Yang Peng^ORCID,Sun Yuankang,Hu Zhongjian,Yi Meng

Funder

The National Natural Science Foundation of China under Grant

The Consulting Project of Chinese Academy of Engineering under Grant

The Major Project of the National Social Science Fund of China under Grant

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10489-024-05513-y.pdf

Reference42 articles.

1. Lin D, Tang J, Li X, Pang K, Li S, Wang T (2022) Bert-smap: Paying attention to essential terms in passage ranking beyond bert. Inform Process Manag 59(2):102788. https://doi.org/10.1016/j.ipm.2021.102788

2. Qiu Y, Ding S, Tian D, Zhang C, Zhou D (2022) Predicting the quality of answers with less bias in online health question answering communities. Inform Process Manag 59(6):103112. https://doi.org/10.1016/j.ipm.2022.103112

3. Fu C (2020) User correlation model for question recommendation in community question answering. Appl Intell 50:634–645. https://doi.org/10.1007/s10489-019-01544-y

4. Zahedi MS, Rahgozar M, Zoroofi RA (2020) Hca: Hierarchical compare aggregate model for question retrieval in community question answering. Inform Process Manag 57(6):102318. https://doi.org/10.1016/j.ipm.2020.102318

5. Yoon S, Dernoncourt F, Kim DS, Bui T, Jung K (2019) A compare-aggregate model with latent clustering for answer selection. In: Proceedings of the 28th ACM international conference on information and knowledge management, pp 2093–2096. https://doi.org/10.1145/3357384.3358148

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