{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,20]],"date-time":"2026-07-20T16:50:57Z","timestamp":1784566257501,"version":"3.55.0"},"reference-count":15,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2023,8,30]],"date-time":"2023-08-30T00:00:00Z","timestamp":1693353600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,8,30]],"date-time":"2023-08-30T00:00:00Z","timestamp":1693353600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/100000092","name":"U.S. National Library of Medicine","doi-asserted-by":"publisher","award":["R01LM013519"],"award-info":[{"award-number":["R01LM013519"]}],"id":[{"id":"10.13039\/100000092","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000092","name":"U.S. National Library of Medicine","doi-asserted-by":"publisher","award":["R01LM013519"],"award-info":[{"award-number":["R01LM013519"]}],"id":[{"id":"10.13039\/100000092","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000092","name":"U.S. National Library of Medicine","doi-asserted-by":"publisher","award":["R01LM013519"],"award-info":[{"award-number":["R01LM013519"]}],"id":[{"id":"10.13039\/100000092","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Healthc Inform Res"],"published-print":{"date-parts":[[2023,12]]},"DOI":"10.1007\/s41666-023-00141-6","type":"journal-article","created":{"date-parts":[[2023,8,30]],"date-time":"2023-08-30T10:02:42Z","timestamp":1693389762000},"page":"542-556","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Towards More Generalizable and Accurate Sentence Classification in Medical Abstracts with Less Data"],"prefix":"10.1007","volume":"7","author":[{"given":"Yan","family":"Hu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yong","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hua","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,8,30]]},"reference":[{"key":"141_CR1","doi-asserted-by":"crossref","unstructured":"Dernoncourt F, Lee JY (2017) Pubmed 200k rct: a dataset for sequential sentence classification in medical abstracts. arXiv:1710.06071","DOI":"10.18653\/v1\/E17-2110"},{"key":"141_CR2","doi-asserted-by":"crossref","unstructured":"Jin D, Szolovits P (2018) Hierarchical neural networks for sequential sentence classification in medical scientific abstracts. arXiv:arXiv:1808.06161","DOI":"10.18653\/v1\/D18-1349"},{"key":"141_CR3","doi-asserted-by":"crossref","unstructured":"Srivastava S, Agarwal P, Shroff G, Vig L (2019) Hierarchical capsule based neural network architecture for sequence labeling. In: 2019 International Joint Conference on Neural Networks (IJCNN), pp. 1\u20138. IEEE","DOI":"10.1109\/IJCNN.2019.8852016"},{"key":"141_CR4","unstructured":"Liu P, Yuan W, Fu J, Jiang Z, Hayashi H, Neubig G (2021) Pretrain, prompt, and predict: a systematic survey of prompting methods in natural language processing. arXiv:2107.13586"},{"key":"141_CR5","doi-asserted-by":"crossref","unstructured":"Lester B, Al-Rfou R, Constant N (2021) The power of scale for parameterefficient prompt tuning. arXiv:2104.08691","DOI":"10.18653\/v1\/2021.emnlp-main.243"},{"key":"141_CR6","doi-asserted-by":"crossref","unstructured":"Gu Y, Han X, Liu Z, Huang M (2021) Ppt: Pre-trained prompt tuning for few-shot learning. arXiv:2109.04332","DOI":"10.18653\/v1\/2022.acl-long.576"},{"key":"141_CR7","doi-asserted-by":"crossref","unstructured":"Gao T, Fisch A, Chen D (2020) Making pre-trained language models better few-shot learners. arXiv:2012.15723","DOI":"10.18653\/v1\/2021.acl-long.295"},{"key":"141_CR8","doi-asserted-by":"crossref","unstructured":"Schick T, Sch\u00fctze H (2020) Exploiting cloze questions for few shot text classification and natural language inference. arXiv:2001.07676","DOI":"10.18653\/v1\/2021.eacl-main.20"},{"key":"141_CR9","unstructured":"Zhu Y, Zhou X, Qiang J, Li Y, Yuan Y, Wu X (2022) Prompt-learning for short text classification. arXiv:2202.11345"},{"key":"141_CR10","unstructured":"Devlin J, Chang MW, Lee K, Toutanova K (2018) Bert: pre-training of deep bidirectional transformers for language understanding. arXiv:1810.04805"},{"key":"141_CR11","doi-asserted-by":"crossref","unstructured":"Alrowili S, Vijay-Shanker K (2021) Biom-transformers: building large biomedical language models with bert, albert and electra. In: Proceedings of the 20th Workshop on Biomedical Language Processing, pp. 221\u2013227","DOI":"10.18653\/v1\/2021.bionlp-1.24"},{"issue":"1","key":"141_CR12","first-page":"1","volume":"3","author":"Y Gu","year":"2021","unstructured":"Gu Y, Tinn R, Cheng H, Lucas M, Usuyama N, Liu X, Naumann T, Gao J, Poon H (2021) Domain-specific language model pretraining for biomedical natural language processing. ACM Transactions on Computing for Healthcare (HEALTH) 3(1):1\u201323","journal-title":"ACM Transactions on Computing for Healthcare (HEALTH)"},{"issue":"4","key":"141_CR13","doi-asserted-by":"publisher","first-page":"1234","DOI":"10.1093\/bioinformatics\/btz682","volume":"36","author":"J Lee","year":"2020","unstructured":"Lee J, Yoon W, Kim S, Kim D, Kim S, So CH, Kang J (2020) Biobert: a pre-trained biomedical language representation model for biomedical text mining. Bioinformatics 36(4):1234\u20131240","journal-title":"Bioinformatics"},{"key":"141_CR14","doi-asserted-by":"crossref","unstructured":"Wei Y, Mo T, Jiang Y, Li W, Zhao W (2022) Eliciting knowledge from pretrained language models for prototypical prompt verbalizer. arXiv:2201.05411","DOI":"10.1007\/978-3-031-15931-2_19"},{"key":"141_CR15","unstructured":"Loshchilov I, Hutter F (2017) Decoupled weight decay regularization. arXiv:1711.05101"}],"container-title":["Journal of Healthcare Informatics Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s41666-023-00141-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s41666-023-00141-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s41666-023-00141-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,1]],"date-time":"2023-11-01T19:37:32Z","timestamp":1698867452000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s41666-023-00141-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,8,30]]},"references-count":15,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2023,12]]}},"alternative-id":["141"],"URL":"https:\/\/doi.org\/10.1007\/s41666-023-00141-6","relation":{"has-preprint":[{"id-type":"doi","id":"10.21203\/rs.3.rs-2026270\/v1","asserted-by":"object"}]},"ISSN":["2509-4971","2509-498X"],"issn-type":[{"value":"2509-4971","type":"print"},{"value":"2509-498X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,8,30]]},"assertion":[{"value":"2 September 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 April 2023","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 July 2023","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 August 2023","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Not applicable.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical Approval"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent to Participate"}},{"value":"Not applicable.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for Publication"}},{"value":"Dr. Hua Xu and The University of Health Science Center at Houston have financial related interest in Melax Technologies Inc.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}