Conditional pre‐trained attention based Chinese question generation

Author:

Zhang Liang1ORCID,Fang Ligang1,Fan Zheng2,Li Wei3,An Jing4ORCID

Affiliation:

1. Jiangsu Province Support Software Engineering R&D Center for Modern Information Technology Application in Enterprise Suzhou China

2. Shanghai Civil Aviation East China Air Traffic Control Engineering Technology Co., Ltd Shanghai China

3. Department of Control Science and Engineering Tongji University Shanghai China

4. School of Electrical and Electronic Engineering Shanghai Institute of Technology Shanghai China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Reference31 articles.

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2. PenningtonJ SocherR ManningCD. Glove: global vectors for word representation. Paper presented at: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP). Doha Qatar;2014:1532‐1543.

3. PetersME NeumannM IyyerM et al. Deep contextualized word representations;2018. arXiv preprint arXiv:1801.05365.

4. A multi‐cloud model based many‐objective intelligent algorithm for efficient task scheduling in Internet of Things;Cai X;IEEE IoT J,2020

5. A new subspace clustering strategy for AI‐based data analysis in IoT system;Cui Z;IEEE IoT J,2021

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1. A simple but practical method: How to improve the usage of entities in the Chinese question generation;2022 International Joint Conference on Neural Networks (IJCNN);2022-07-18

2. Deep Neural Network-based Chinese Natural Language Generation on Dynamic Auxiliary Words;2022 4th International Conference on Natural Language Processing (ICNLP);2022-03

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