{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T01:55:27Z","timestamp":1742954127661,"version":"3.40.3"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031306778"},{"type":"electronic","value":"9783031306785"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-30678-5_22","type":"book-chapter","created":{"date-parts":[[2023,4,13]],"date-time":"2023-04-13T09:03:17Z","timestamp":1681376597000},"page":"286-302","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Topic-Aware Data Generation Framework for\u00a0Math Word Problems"],"prefix":"10.1007","author":[{"given":"Tianyu","family":"Zhao","sequence":"first","affiliation":[]},{"given":"Chengliang","family":"Chai","sequence":"additional","affiliation":[]},{"given":"Jiabin","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Guoliang","family":"Li","sequence":"additional","affiliation":[]},{"given":"Jianhua","family":"Feng","sequence":"additional","affiliation":[]},{"given":"Zitao","family":"Liu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,4,14]]},"reference":[{"unstructured":"Banerjee, S., Lavie, A.: METEOR: an automatic metric for MT evaluation with improved correlation with human judgments. In: Proceedings of the ACL Workshop on Intrinsic and Extrinsic Evaluation Measures for Machine Translation and\/or Summarization, pp. 65\u201372 (2005)","key":"22_CR1"},{"doi-asserted-by":"crossref","unstructured":"Huang, D., Shi, S., Lin, C.Y., Yin, J., Ma, W.Y.: How well do computers solve math word problems? Large-scale dataset construction and evaluation. In: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 887\u2013896 (2016)","key":"22_CR2","DOI":"10.18653\/v1\/P16-1084"},{"unstructured":"Le, Q., Mikolov, T.: Distributed representations of sentences and documents. In: International Conference on Machine Learning, pp. 1188\u20131196. PMLR (2014)","key":"22_CR3"},{"unstructured":"Lin, C.Y.: Rouge: A package for automatic evaluation of summaries. In: Text Summarization Branches Out, pp. 74\u201381 (2004)","key":"22_CR4"},{"doi-asserted-by":"crossref","unstructured":"Liu, T., Fang, Q., Ding, W., Liu, Z.: Mathematical word problem generation from commonsense knowledge graph and equations. arXiv preprint arXiv:2010.06196 (2020)","key":"22_CR5","DOI":"10.18653\/v1\/2021.emnlp-main.348"},{"issue":"11","key":"22_CR6","doi-asserted-by":"publisher","first-page":"205","DOI":"10.21105\/joss.00205","volume":"2","author":"L McInnes","year":"2017","unstructured":"McInnes, L., Healy, J., Astels, S.: HDBScan: hierarchical density based clustering. J. Open Source Softw. 2(11), 205 (2017)","journal-title":"J. Open Source Softw."},{"doi-asserted-by":"crossref","unstructured":"McInnes, L., Healy, J., Melville, J.: UMAP: Uniform manifold approximation and projection for dimension reduction. arXiv preprint arXiv:1802.03426 (2018)","key":"22_CR7","DOI":"10.21105\/joss.00861"},{"unstructured":"Mikolov, T., Chen, K., Corrado, G., Dean, J.: Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781 (2013)","key":"22_CR8"},{"doi-asserted-by":"crossref","unstructured":"Nandhini, K., Balasundaram, S.R.: Math word question generation for training the students with learning difficulties. In: Proceedings of the International Conference & Workshop on Emerging Trends in Technology, pp. 206\u2013211 (2011)","key":"22_CR9","DOI":"10.1145\/1980022.1980069"},{"doi-asserted-by":"crossref","unstructured":"Papineni, K., Roukos, S., Ward, T., Zhu, W.J.: BLEU: a method for automatic evaluation of machine translation. In: Proceedings of the 40th annual meeting of the Association for Computational Linguistics, pp. 311\u2013318 (2002)","key":"22_CR10","DOI":"10.3115\/1073083.1073135"},{"unstructured":"Polozov, O., O\u2019Rourke, E., Smith, A.M., Zettlemoyer, L., Gulwani, S., Popovi\u0107, Z.: Personalized mathematical word problem generation. In: Twenty-Fourth International Joint Conference on Artificial Intelligence (2015)","key":"22_CR11"},{"doi-asserted-by":"crossref","unstructured":"Tai, K.S., Socher, R., Manning, C.D.: Improved semantic representations from tree-structured long short-term memory networks. arXiv preprint arXiv:1503.00075 (2015)","key":"22_CR12","DOI":"10.3115\/v1\/P15-1150"},{"doi-asserted-by":"crossref","unstructured":"Wang, Y., Liu, X., Shi, S.: Deep neural solver for math word problems. In: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, pp. 845\u2013854 (2017)","key":"22_CR13","DOI":"10.18653\/v1\/D17-1088"},{"unstructured":"Williams, S.: Generating mathematical word problems. In: 2011 AAAI Fall Symposium Series (2011)","key":"22_CR14"},{"issue":"3","key":"22_CR15","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1007\/s41019-019-00098-w","volume":"4","author":"T Zhao","year":"2019","unstructured":"Zhao, T., et al.: Towards automatic mathematical exercise solving. Data Sci. Eng. 4(3), 179\u2013192 (2019)","journal-title":"Data Sci. Eng."},{"key":"22_CR16","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"760","DOI":"10.1007\/978-3-030-18576-3_45","volume-title":"Database Systems for Advanced Applications","author":"T Zhao","year":"2019","unstructured":"Zhao, T., et al.: MathGraph: a knowledge graph for automatically solving mathematical exercises. In: Li, G., Yang, J., Gama, J., Natwichai, J., Tong, Y. (eds.) DASFAA 2019. LNCS, vol. 11446, pp. 760\u2013776. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-18576-3_45"},{"unstructured":"Zhao, W., Shang, M., Liu, Y., Wang, L., Liu, J.: Ape210k: A large-scale and template-rich dataset of math word problems. arXiv preprint arXiv:2009.11506 (2020)","key":"22_CR17"},{"issue":"2","key":"22_CR18","doi-asserted-by":"publisher","first-page":"178","DOI":"10.1007\/s41019-017-0040-6","volume":"2","author":"Z Zhao","year":"2017","unstructured":"Zhao, Z., Liu, T., Li, S., Li, B., Du, X.: Guiding the training of distributed text representation with supervised weighting scheme for sentiment analysis. Data Sci. Eng. 2(2), 178\u2013186 (2017)","journal-title":"Data Sci. Eng."},{"doi-asserted-by":"crossref","unstructured":"Zhou, Q., Huang, D.: Towards generating math word problems from equations and topics. In: Proceedings of the 12th International Conference on Natural Language Generation, pp. 494\u2013503 (2019)","key":"22_CR19","DOI":"10.18653\/v1\/W19-8661"}],"container-title":["Lecture Notes in Computer Science","Database Systems for Advanced Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-30678-5_22","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T13:32:42Z","timestamp":1709818362000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-30678-5_22"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031306778","9783031306785"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-30678-5_22","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"14 April 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DASFAA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Database Systems for Advanced Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Tianjin","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 April 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 April 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"dasfaa2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.tjudb.cn\/dasfaa2023\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Microsoft CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"652","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"125","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"66","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"19% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"7.3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}