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In this work, we introduce a simple memory retrieval module to search related training MWPs, which are used to augment the generation. To retrieve more relevant training data, we also propose a disentangled memory retrieval module based on the simple memory retrieval module. To this end, we first disentangle the training MWPs into logical description and scenario description and then record them in respective memory modules. Later, we use the given equation and topic words as queries to retrieve relevant logical descriptions and scenario descriptions from the corresponding memory modules, respectively. The retrieved results are then used to complement the process of the MWP generation. Extensive experiments and ablation studies verify the superior performance of our method and the effectiveness of each proposed module. The code is available at\n            <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"https:\/\/github.com\/mwp-g\/MWPG-DMR\">https:\/\/github.com\/mwp-g\/MWPG-DMR<\/jats:ext-link>\n            .\n          <\/jats:p>","DOI":"10.1145\/3639569","type":"journal-article","created":{"date-parts":[[2024,1,26]],"date-time":"2024-01-26T10:03:15Z","timestamp":1706263395000},"page":"1-21","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["Math Word Problem Generation via Disentangled Memory Retrieval"],"prefix":"10.1145","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9513-4372","authenticated-orcid":false,"given":"Wei","family":"Qin","sequence":"first","affiliation":[{"name":"Key Laboratory of Knowledge Engineering with Big Data(Hefei University of Technology), Ministry of Education, Hefei, China and Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6054-1536","authenticated-orcid":false,"given":"Xiaowei","family":"Wang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Knowledge Engineering with Big Data(Hefei University of Technology), Ministry of Education, Hefei, China and Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1042-8361","authenticated-orcid":false,"given":"Zhenzhen","family":"Hu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Knowledge Engineering with Big Data(Hefei University of Technology), Ministry of Education, Hefei, China and Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1228-6758","authenticated-orcid":false,"given":"Lei","family":"Wang","sequence":"additional","affiliation":[{"name":"The School of Computing and Information Systems, Singapore Management University, Singapore, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0192-8498","authenticated-orcid":false,"given":"Yunshi","family":"Lan","sequence":"additional","affiliation":[{"name":"The school of Data Science and Engineering, East China Normal University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5461-3986","authenticated-orcid":false,"given":"Richang","family":"Hong","sequence":"additional","affiliation":[{"name":"Key Laboratory of Knowledge Engineering with Big Data(Hefei University of Technology), Ministry of Education, Hefei, China and Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,3,26]]},"reference":[{"key":"e_1_3_2_2_2","volume-title":"Proceedings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL\u201919)","author":"Cai Deng","year":"2019","unstructured":"Deng Cai, Yan Wang, Wei Bi, Zhaopeng Tu, Xiaojiang Liu, Wai Lam, and Shuming Shi. 2019. 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