Machine reading comprehension model based on query reconstruction technology and deep learning-Reference-Cited by-同舟云学术

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Machine reading comprehension model based on query reconstruction technology and deep learning

Published:2023-06-22 Issue:5 Volume:36 Page:2155-2170
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Wang Pengming,Kamruzzaman M. M.,Chen Qing

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangxi Province

Science and technology project of Education Department of Jiangxi Province

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

https://link.springer.com/content/pdf/10.1007/s00521-023-08698-4.pdf

Reference30 articles.

1. Zhao Y, Zhang Z, Zhao H (2022) Reference knowledgeable network for machine reading comprehension. IEEE/ACM Transact on Audio Speech Lang Process 30:1461–1473

2. Malhas R, Elsayed T (2022) Arabic machine reading comprehension on the Holy Qur’an using CL-AraBERT. Inform Process Manage 59(6):103068

3. Sun C, Yang Z, Wang L, Zhang Y, Lin H, Wang J (2021) Biomedical named entity recognition using BERT in the machine reading comprehension framework. J Biomed Inform 118:103799

4. Chang TW, Fan YC, Chen AL (2022) Emotion-cause pair extraction based on machine reading comprehension model. Multimedia Tool Appl 81(28):40653–40673

5. Cong Y, Wu Y, Liang X, Pei J, Qin Z (2021) PH-model: enhancing multi-passage machine reading comprehension with passage reranking and hierarchical information. Appl Intell 51(8):5440–5452

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