A Mathematical Word Problem Generator with Structure Planning and Knowledge Enhancement

Author:

Qin Longhu1ORCID,Liu Jiayu2ORCID,Huang Zhenya1ORCID,Zhang Kai1ORCID,Liu Qi1ORCID,Jin Binbin3ORCID,Chen Enhong4ORCID

Affiliation:

1. School of Computer Science and Technology, University of Science and Technology of China & State Key Laboratory of Cognitive Intelligence, Hefei, China

2. School of Data Science, University of Science and Technology of China & State Key Laboratory of Cognitive Intelligence, Hefei, China

3. Huawei Cloud Computing Technologies Co., Ltd., Hangzhou, China

4. Anhui Province Key Laboratory of Big Data Analysis and Application, University of Science and Technology of China & State Key Laboratory of Cognitive Intelligence, Hefei, China

Funder

the National Natural Science Foundation of China

the University Synergy Innovation Program of Anhui Province

Publisher

ACM

Reference29 articles.

1. Dzmitry Bahdanau , Kyunghyun Cho , and Yoshua Bengio . 2014. Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473 ( 2014 ). Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014. Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473 (2014).

2. Tianyang Cao , Shuang Zeng , Xiaodan Xu , Mairgup Mansur , and Baobao Chang . 2022 . DISK: Domain-constrained Instance Sketch for Math Word Problem Generation. arXiv preprint arXiv:2204.04686 (2022). Tianyang Cao, Shuang Zeng, Xiaodan Xu, Mairgup Mansur, and Baobao Chang. 2022. DISK: Domain-constrained Instance Sketch for Math Word Problem Generation. arXiv preprint arXiv:2204.04686 (2022).

3. Generating Math Word Problems from Equations with Topic Consistency Maintaining and Commonsense Enforcement

4. Jian Guan , Xiaoxi Mao , Changjie Fan , Zitao Liu , Wenbiao Ding , and Minlie Huang . 2021. Long Text Generation by Modeling Sentence-Level and Discourse-Level Coherence . In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) . Association for Computational Linguistics , Online , 6379--6393. https://doi.org/10. 1865 3/v1/2021.acl-long.499 10.18653/v1 Jian Guan, Xiaoxi Mao, Changjie Fan, Zitao Liu, Wenbiao Ding, and Minlie Huang. 2021. Long Text Generation by Modeling Sentence-Level and Discourse-Level Coherence. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). Association for Computational Linguistics, Online, 6379--6393. https://doi.org/10.18653/v1/2021.acl-long.499

5. PLANET: Dynamic Content Planning in Autoregressive Transformers for Long-form Text Generation

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