{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T14:41:34Z","timestamp":1771684894625,"version":"3.50.1"},"reference-count":76,"publisher":"Association for Computing Machinery (ACM)","issue":"2","license":[{"start":{"date-parts":[[2023,2,21]],"date-time":"2023-02-21T00:00:00Z","timestamp":1676937600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"IMPRINT-1, Government of India"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Asian Low-Resour. Lang. Inf. Process."],"published-print":{"date-parts":[[2023,3,31]]},"abstract":"<jats:p>Lack of annotated data is a major concern in Event Detection (ED) tasks for low-resource languages. Cross-lingual ED seeks to address this issue by transferring information across various languages to improve overall performance. In this article, we propose a method for cross-lingual ED with a few training instances. We present a model agnostic meta-learning approach for few-shot cross-lingual ED that is able to find good parameter initialization and enables fast adaptation to new low-resource languages. We evaluate our model on four Indian languages. The results show that our approach significantly outperforms the base model.<\/jats:p>","DOI":"10.1145\/3555340","type":"journal-article","created":{"date-parts":[[2022,8,9]],"date-time":"2022-08-09T11:39:16Z","timestamp":1660045156000},"page":"1-22","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["Meta-ED: Cross-lingual Event Detection Using Meta-learning for Indian Languages"],"prefix":"10.1145","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7629-5544","authenticated-orcid":false,"given":"Aniruddha","family":"Roy","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, IIT Kharagpur, Kharagpur, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7709-2412","authenticated-orcid":false,"given":"Isha","family":"Sharma","sequence":"additional","affiliation":[{"name":"Department of Chemical Engineering, IIT Kharagpur, Kharagpur, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3439-4282","authenticated-orcid":false,"given":"Sudeshna","family":"Sarkar","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, IIT Kharagpur, Kharagpur, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9414-8166","authenticated-orcid":false,"given":"Pawan","family":"Goyal","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, IIT Kharagpur, Kharagpur, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,2,21]]},"reference":[{"key":"e_1_3_2_2_2","unstructured":"Zishan Ahmad Sovan Kumar Sahoo Asif Ekbal and Pushpak Bhattacharyya. 2018. A deep learning model for event extraction and classification in Hindi for disaster domain. 15th International Conference on Natural Language Processing 127."},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.5555\/1629235.1629236"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.naacl-main.46"},{"key":"e_1_3_2_5_2","article-title":"Nearest neighbour few-shot learning for cross-lingual classification","author":"Bari M. Saiful","year":"2021","unstructured":"M. Saiful Bari, Batool Haider, and Saab Mansour. 2021. Nearest neighbour few-shot learning for cross-lingual classification. arXiv preprint arXiv:2109.02221 (2021).","journal-title":"arXiv preprint arXiv:2109.02221"},{"key":"e_1_3_2_6_2","first-page":"3478","volume-title":"Proceedings of the AAAI Conference on Artificial Intelligence","year":"2020","unstructured":"Jiaxin Chen, Li-Ming Zhan, Xiao-Ming Wu, and Fu-lai Chung. 2020. Variational metric scaling for metric-based meta-learning. In Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 34, AAAI Press, New York, NY, 3478\u20133485."},{"key":"e_1_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P15-1017"},{"key":"e_1_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.3115\/1621829.1621838"},{"key":"e_1_3_2_9_2","doi-asserted-by":"crossref","unstructured":"Zewen Chi Li Dong Furu Wei Wenhui Wang Xian-Ling Mao and Heyan Huang. 2019. Cross-lingual natural language generation via pre-training. arXiv:1909.10481 [cs.CL]","DOI":"10.1609\/aaai.v34i05.6256"},{"key":"e_1_3_2_10_2","doi-asserted-by":"crossref","unstructured":"Xin Cong Shiyao Cui Bowen Yu Tingwen Liu Yubin Wang and Bin Wang. 2021. Few-shot event detection with prototypical amortized conditional random field. arXiv:2012.02353 [cs.CL]","DOI":"10.18653\/v1\/2021.findings-acl.3"},{"key":"e_1_3_2_11_2","article-title":"Unsupervised cross-lingual representation learning at scale","author":"Conneau Alexis","year":"2019","unstructured":"Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzm\u00e1n, Edouard Grave, Myle Ott, Luke Zettlemoyer, and Veselin Stoyanov. 2019. Unsupervised cross-lingual representation learning at scale. arXiv preprint arXiv:1911.02116.","journal-title":"arXiv preprint arXiv:1911.02116."},{"key":"e_1_3_2_12_2","unstructured":"Shiyao Cui Bowen Yu Tingwen Liu Zhenyu Zhang Xuebin Wang and Jinqiao Shi. 2020. Edge-enhanced graph convolution networks for event detection with syntactic relation. arXiv:2002.10757 [cs.CL]"},{"key":"e_1_3_2_13_2","doi-asserted-by":"publisher","DOI":"10.1145\/3336191.3371796"},{"key":"e_1_3_2_14_2","unstructured":"Jacob Devlin Ming-Wei Chang Kenton Lee and Kristina Toutanova. 2019. BERT: Pre-training of deep bidirectional transformers for language understanding. arXiv:1810.04805 [cs.CL]"},{"key":"e_1_3_2_15_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1112"},{"key":"e_1_3_2_16_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1128"},{"key":"e_1_3_2_17_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.718"},{"key":"e_1_3_2_18_2","first-page":"1126","volume-title":"International Conference on Machine Learning","author":"Finn Chelsea","year":"2017","unstructured":"Chelsea Finn, Pieter Abbeel, and Sergey Levine. 2017. Model-agnostic meta-learning for fast adaptation of deep networks. In International Conference on Machine Learning. PMLR, 1126\u20131135."},{"key":"e_1_3_2_19_2","doi-asserted-by":"publisher","DOI":"10.1016\/S1364-6613(99)01294-2"},{"key":"e_1_3_2_20_2","doi-asserted-by":"publisher","DOI":"10.1145\/3297280.3297378"},{"key":"e_1_3_2_21_2","article-title":"Few-shot learning with graph neural networks","author":"Garcia Victor","year":"2017","unstructured":"Victor Garcia and Joan Bruna. 2017. Few-shot learning with graph neural networks. arXiv preprint arXiv:1711.04043 (2017).","journal-title":"arXiv preprint arXiv:1711.04043"},{"key":"e_1_3_2_22_2","unstructured":"Jiatao Gu Yong Wang Yun Chen Kyunghyun Cho and Victor O. K. Li. 2018. Meta-learning for low-resource neural machine translation. arXiv:1808.08437 [cs.CL]"},{"key":"e_1_3_2_23_2","doi-asserted-by":"publisher","DOI":"10.5555\/2002472.2002615"},{"key":"e_1_3_2_24_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.128"},{"key":"e_1_3_2_25_2","first-page":"1201","volume-title":"Proceedings of the 26th International Conference on Computational Linguistics (COLING\u201916): Technical Papers","author":"Hsi Andrew","year":"2016","unstructured":"Andrew Hsi, Yiming Yang, Jaime Carbonell, and Ruochen Xu. 2016. Leveraging multilingual training for limited resource event extraction. In Proceedings of the 26th International Conference on Computational Linguistics (COLING\u201916): Technical Papers. The COLING 2016 Organizing Committee, Osaka, Japan, 1201\u20131210. https:\/\/aclanthology.org\/C16-1114."},{"key":"e_1_3_2_26_2","first-page":"254","volume-title":"Proceedings of ACL-08: HLT","author":"Ji Heng","year":"2008","unstructured":"Heng Ji and Ralph Grishman. 2008. Refining event extraction through cross-document inference. In Proceedings of ACL-08: HLT. Association for Computational Linguistics, Columbus, OH, 254\u2013262. https:\/\/aclanthology.org\/P08-1030."},{"key":"e_1_3_2_27_2","first-page":"4948","volume-title":"Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings","author":"Kakwani Divyanshu","year":"2020","unstructured":"Divyanshu Kakwani, Anoop Kunchukuttan, Satish Golla, N. C. Gokul, Avik Bhattacharyya, Mitesh M. Khapra, and Pratyush Kumar. 2020. iNLPSuite: Monolingual corpora, evaluation benchmarks and pre-trained multilingual language models for Indian languages. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings. 4948\u20134961."},{"key":"e_1_3_2_28_2","article-title":"Effective cross-lingual transfer of neural machine translation models without shared vocabularies","author":"Kim Yunsu","year":"2019","unstructured":"Yunsu Kim, Yingbo Gao, and Hermann Ney. 2019. Effective cross-lingual transfer of neural machine translation models without shared vocabularies. arXiv preprint arXiv:1905.05475","journal-title":"arXiv preprint arXiv:1905.05475"},{"key":"e_1_3_2_29_2","volume-title":"ICLR","author":"Kingma D. P.","year":"2015","unstructured":"D. P. Kingma and J. Ba. 2015. Adam: A method for stochastic optimization. In ICLR."},{"key":"e_1_3_2_30_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1481"},{"key":"e_1_3_2_31_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-47436-2_18"},{"key":"e_1_3_2_32_2","article-title":"ALBERT: A lite BERT for self-supervised learning of language representations","author":"Lan Zhenzhong","year":"2019","unstructured":"Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, and Radu Soricut. 2019. ALBERT: A lite BERT for self-supervised learning of language representations. arXiv preprint arXiv:1909.11942","journal-title":"arXiv preprint arXiv:1909.11942"},{"key":"e_1_3_2_33_2","article-title":"From zero to hero: On the limitations of zero-shot cross-lingual transfer with multilingual transformers","author":"Lauscher Anne","year":"2020","unstructured":"Anne Lauscher, Vinit Ravishankar, Ivan Vuli\u0107, and Goran Glava\u0161. 2020. From zero to hero: On the limitations of zero-shot cross-lingual transfer with multilingual transformers. arXiv preprint arXiv:2005.00633","journal-title":"arXiv preprint arXiv:2005.00633"},{"key":"e_1_3_2_34_2","doi-asserted-by":"publisher","DOI":"10.3233\/SW-140134"},{"key":"e_1_3_2_35_2","first-page":"73","volume-title":"Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","author":"Li Qi","year":"2013","unstructured":"Qi Li, Heng Ji, and Liang Huang. 2013. Joint event extraction via structured prediction with global features. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Association for Computational Linguistics, Sofia, Bulgaria, 73\u201382. https:\/\/aclanthology.org\/P13-1008."},{"key":"e_1_3_2_36_2","doi-asserted-by":"publisher","DOI":"10.5555\/1858681.1858762"},{"key":"e_1_3_2_37_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1068"},{"key":"e_1_3_2_38_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1127"},{"key":"e_1_3_2_39_2","unstructured":"Dongfang Lou Zhilin Liao Shumin Deng Ningyu Zhang and Huajun Chen. 2021. MLBiNet: A cross-sentence collective event detection network. arXiv:2105.09458 [cs.CL]"},{"key":"e_1_3_2_40_2","unstructured":"Yaojie Lu Hongyu Lin Jin Xu Xianpei Han Jialong Tang Annan Li Le Sun Meng Liao and Shaoyi Chen. 2021. Text2Event: Controllable sequence-to-structure generation for end-to-end event extraction. arXiv:2106.09232 [cs.CL]"},{"key":"e_1_3_2_41_2","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1908.07018"},{"key":"e_1_3_2_42_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.433"},{"key":"e_1_3_2_43_2","article-title":"Penalty method for inversion-free deep bilevel optimization","author":"Mehra Akshay","year":"2019","unstructured":"Akshay Mehra and Jihun Hamm. 2019. Penalty method for inversion-free deep bilevel optimization. arXiv preprint arXiv:1911.03432","journal-title":"arXiv preprint arXiv:1911.03432"},{"key":"e_1_3_2_44_2","first-page":"2554","volume-title":"International Conference on Machine Learning","author":"Munkhdalai Tsendsuren","year":"2017","unstructured":"Tsendsuren Munkhdalai and Hong Yu. 2017. Meta networks. In International Conference on Machine Learning. PMLR, 2554\u20132563."},{"key":"e_1_3_2_45_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.artint.2012.07.001"},{"key":"e_1_3_2_46_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-1034"},{"key":"e_1_3_2_47_2","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P15-2060"},{"key":"e_1_3_2_48_2","article-title":"On first-order meta-learning algorithms","author":"Nichol Alex","year":"2018","unstructured":"Alex Nichol, Joshua Achiam, and John Schulman. 2018. On first-order meta-learning algorithms. arXiv preprint arXiv:1803.02999","journal-title":"arXiv preprint arXiv:1803.02999"},{"key":"e_1_3_2_49_2","doi-asserted-by":"crossref","unstructured":"Farhad Nooralahzadeh Giannis Bekoulis Johannes Bjerva and Isabelle Augenstein. 2020. Zero-shot cross-lingual transfer with meta learning. arXiv:2003.02739 [cs.CL]","DOI":"10.18653\/v1\/2020.emnlp-main.368"},{"key":"e_1_3_2_50_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1122"},{"key":"e_1_3_2_51_2","doi-asserted-by":"crossref","unstructured":"Cheonbok Park Yunwon Tae Taehee Kim Soyoung Yang Mohammad Azam Khan Eunjeong Park and Jaegul Choo. 2021. Unsupervised Neural Machine Translation for Low-Resource Domains via Meta-Learning. arXiv:2010.09046 [cs.CL]","DOI":"10.18653\/v1\/2021.acl-long.225"},{"key":"e_1_3_2_52_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.490"},{"key":"e_1_3_2_53_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1253"},{"key":"e_1_3_2_54_2","doi-asserted-by":"publisher","DOI":"10.1145\/3502197"},{"key":"e_1_3_2_55_2","unstructured":"Sachin Ravi and Hugo Larochelle. 2017. Optimization as a model for few-shot learning. International Conference on Learning Representations . https:\/\/openreview.net\/forum?id=rJY0-Kcl."},{"key":"e_1_3_2_56_2","first-page":"160","volume-title":"Proceedings of the 16th International Conference on Natural Language Processing","author":"Sahoo Sovan Kumar","year":"2019","unstructured":"Sovan Kumar Sahoo, Saumajit Saha, Asif Ekbal, and Pushpak Bhattacharyya. 2019. A multi-task model for multilingual trigger detection and classification. In Proceedings of the 16th International Conference on Natural Language Processing. NLP Association of India, International Institute of Information Technology, Hyderabad, India, 160\u2013169. https:\/\/aclanthology.org\/2019.icon-1.19."},{"key":"e_1_3_2_57_2","first-page":"2241","volume-title":"Proceedings of the 12th Language Resources and Evaluation Conference","author":"Sahoo Sovan Kumar","year":"2020","unstructured":"Sovan Kumar Sahoo, Saumajit Saha, Asif Ekbal, and Pushpak Bhattacharyya. 2020. A platform for event extraction in Hindi. In Proceedings of the 12th Language Resources and Evaluation Conference. European Language Resources Association, Marseille, France, 2241\u20132250. https:\/\/aclanthology.org\/2020.lrec-1.273."},{"key":"e_1_3_2_58_2","first-page":"1842","volume-title":"International Conference on Machine Learning","author":"Santoro Adam","year":"2016","unstructured":"Adam Santoro, Sergey Bartunov, Matthew Botvinick, Daan Wierstra, and Timothy Lillicrap. 2016. Meta-learning with memory-augmented neural networks. In International Conference on Machine Learning. PMLR, 1842\u20131850."},{"key":"e_1_3_2_59_2","doi-asserted-by":"crossref","unstructured":"Jiawei Sheng Shu Guo Bowen Yu Qian Li Yiming Hei Lihong Wang Tingwen Liu and Hongbo Xu. 2021. CasEE: A joint learning framework with cascade decoding for overlapping event extraction. arXiv:2107.01583 [cs.CL]","DOI":"10.18653\/v1\/2021.findings-acl.14"},{"key":"e_1_3_2_60_2","article-title":"Prototypical networks for few-shot learning","author":"Snell Jake","year":"2017","unstructured":"Jake Snell, Kevin Swersky, and Richard S. Zemel. 2017. Prototypical networks for few-shot learning. arXiv preprint arXiv:1703.05175","journal-title":"arXiv preprint arXiv:1703.05175"},{"key":"e_1_3_2_61_2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6437"},{"key":"e_1_3_2_62_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.522"},{"key":"e_1_3_2_63_2","unstructured":"Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Lukasz Kaiser and Illia Polosukhin. 2017. Attention is all you need. arXiv:1706.03762 [cs.CL]"},{"key":"e_1_3_2_64_2","unstructured":"Proceedings of the 30th International Conference on Neural Information Processing 2016 Matching networks for one shot learning"},{"key":"e_1_3_2_65_2","doi-asserted-by":"publisher","DOI":"10.35111\/mwxc-vh88"},{"key":"e_1_3_2_66_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N19-1105"},{"key":"e_1_3_2_67_2","doi-asserted-by":"crossref","unstructured":"Ziqi Wang Xiaozhi Wang Xu Han Yankai Lin Lei Hou Zhiyuan Liu Peng Li Juanzi Li and Jie Zhou. 2021. CLEVE: Contrastive Pre-training for Event Extraction. arXiv:2105.14485 [cs.CL]","DOI":"10.18653\/v1\/2021.acl-long.491"},{"key":"e_1_3_2_68_2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6466"},{"key":"e_1_3_2_69_2","unstructured":"Shijie Wu and Mark Dredze. 2019. Beto Bentz Becas: The surprising cross-lingual effectiveness of BERT. arXiv:1904.09077 [cs.CL]"},{"key":"e_1_3_2_70_2","unstructured":"Yonghui Wu Mike Schuster Zhifeng Chen Quoc V. Le Mohammad Norouzi Wolfgang Macherey Maxim Krikun Yuan Cao Qin Gao Klaus Macherey Jeff Klingner Apurva Shah Melvin Johnson Xiaobing Liu \u0141ukasz Kaiser Stephan Gouws Yoshikiyo Kato Taku Kudo Hideto Kazawa Keith Stevens George Kurian Nishant Patil Wei Wang Cliff Young Jason Smith Jason Riesa Alex Rudnick Oriol Vinyals Greg Corrado Macduff Hughes and Jeffrey Dean. 2016. Google\u2019s neural machine translation system: Bridging the gap between human and machine translation. arXiv:1609.08144 [cs.CL]"},{"key":"e_1_3_2_71_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.findings-acl.142"},{"key":"e_1_3_2_72_2","unstructured":"Jiateng Xie Zhilin Yang Graham Neubig Noah A. Smith and Jaime Carbonell. 2018. Neural cross-lingual named entity recognition with minimal resources. arXiv:1808.09861 [cs.CL]"},{"key":"e_1_3_2_73_2","unstructured":"Runxin Xu Tianyu Liu Lei Li and Baobao Chang. 2021. Document-level event extraction via heterogeneous graph-based interaction model with a tracker. arXiv:2105.14924 [cs.CL]"},{"key":"e_1_3_2_74_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1582"},{"key":"e_1_3_2_75_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1522"},{"key":"e_1_3_2_76_2","article-title":"Simple and effective few-shot named entity recognition with structured nearest neighbor learning","author":"Yang Yi","year":"2020","unstructured":"Yi Yang and Arzoo Katiyar. 2020. Simple and effective few-shot named entity recognition with structured nearest neighbor learning. arXiv preprint arXiv:2010.02405","journal-title":"arXiv preprint arXiv:2010.02405"},{"key":"e_1_3_2_77_2","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P14-2136"}],"container-title":["ACM Transactions on Asian and Low-Resource Language Information Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3555340","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3555340","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T17:49:02Z","timestamp":1750182542000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3555340"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,2,21]]},"references-count":76,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2023,3,31]]}},"alternative-id":["10.1145\/3555340"],"URL":"https:\/\/doi.org\/10.1145\/3555340","relation":{},"ISSN":["2375-4699","2375-4702"],"issn-type":[{"value":"2375-4699","type":"print"},{"value":"2375-4702","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,2,21]]},"assertion":[{"value":"2022-04-06","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2022-07-04","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2023-02-21","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}