{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T05:11:46Z","timestamp":1776057106585,"version":"3.50.1"},"reference-count":52,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62376075"],"award-info":[{"award-number":["62376075"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100016909","name":"Microsoft Research Asia","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100016909","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE\/ACM Trans. Audio Speech Lang. Process."],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/taslp.2024.3372879","type":"journal-article","created":{"date-parts":[[2024,3,4]],"date-time":"2024-03-04T19:19:55Z","timestamp":1709579995000},"page":"1980-1993","source":"Crossref","is-referenced-by-count":4,"title":["Decomposed Meta-Learning for Few-Shot Sequence Labeling"],"prefix":"10.1109","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9622-3978","authenticated-orcid":false,"given":"Tingting","family":"Ma","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9567-4128","authenticated-orcid":false,"given":"Qianhui","family":"Wu","sequence":"additional","affiliation":[{"name":"Microsoft Research Asia, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1327-4882","authenticated-orcid":false,"given":"Huiqiang","family":"Jiang","sequence":"additional","affiliation":[{"name":"Microsoft Research Asia, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1178-6435","authenticated-orcid":false,"given":"Jieru","family":"Lin","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8925-360X","authenticated-orcid":false,"given":"B\u00f6rje F.","family":"Karlsson","sequence":"additional","affiliation":[{"name":"Microsoft Research Asia, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4659-4935","authenticated-orcid":false,"given":"Tiejun","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0798-6365","authenticated-orcid":false,"given":"Chin-Yew","family":"Lin","sequence":"additional","affiliation":[{"name":"Microsoft Research Asia, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-1030"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N19-1055"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1033"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2022.3145311"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3297280.3297378"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.128"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3336191.3371796"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.naacl-main.369"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.naacl-main.59"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.487"},{"key":"ref11","first-page":"282","article-title":"Conditional random fields: Probabilistic models for segmenting and labeling sequence data","volume-title":"Proc. 18th Int. Conf. Mach. Learn.","author":"Lafferty","year":"2001"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.findings-acl.3"},{"key":"ref13","first-page":"1126","article-title":"Model-agnostic meta-learning for fast adaptation of deep networks","volume-title":"Proc. 34th Int. Conf. Mach. Learn.","author":"Finn","year":"2017"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00349"},{"key":"ref15","first-page":"1584","article-title":"Decomposed meta-learning for few-shot named entity recognition","volume-title":"Proc. Findings Assoc. Comput. Linguistics:","author":"Ma","year":"2022"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.248"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6466"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/PROC.1973.9030"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.5555\/3294996.3295163"},{"key":"ref20","first-page":"2790","article-title":"Parameter-efficient transfer learning for NLP","volume-title":"Proc. 36th Int. Conf. Mach. Learn.","author":"Houlsby","year":"2019"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.27"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.3115\/1118853.1118877"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s10579-016-9343-x"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W17-4418"},{"key":"ref25","first-page":"143","article-title":"Towards robust linguistic analysis using OntoNotes","volume-title":"Proc. 17th Conf. Comput. Natural Lang. Learn.","author":"Pradhan","year":"2013"},{"key":"ref26","article-title":"Snips voice platform: An embedded spoken language understanding system for private-by-design voice interfaces","author":"Coucke","year":"2018"},{"issue":"2","key":"ref27","first-page":"313","article-title":"Building a large annotated corpus of English: The Penn Treebank","volume-title":"Comput. Linguistics","volume":"19","author":"Marcus","year":"1993"},{"key":"ref28","first-page":"2089","article-title":"A universal part-of-speech tagset","volume-title":"Proc. 8th Int. Conf. Lang. Resour. Eval. Eur. Lang. Resour. Assoc.","author":"Petrov","year":"2012"},{"key":"ref29","first-page":"1659","article-title":"Universal dependencies v1: A multilingual treebank collection","volume-title":"Proc. 10th Int. Conf. Lang. Resour. Eval., Eur. Lang. Resour. Assoc.","author":"Nivre","year":"2016"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.21236\/ada547371"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.findings-acl.53"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.516"},{"key":"ref33","first-page":"6338","article-title":"CONTai","volume-title":"Proc. 60th Annu. Meeting Assoc. Comput. Linguistics","author":"Das","year":"2022"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1810.04805"},{"key":"ref35","article-title":"Decoupled weight decay regularization","volume-title":"Proc. 7th Int. Conf. Learn. Representations","author":"Loshchilov","year":"2019"},{"key":"ref36","first-page":"7115","article-title":"Tapnet: Neural network augmented with task-adaptive projection for few-shot learning","volume-title":"Proc. 36th Int. Conf. Mach. Learn.","author":"Yoon","year":"2019"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.findings-acl.88"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.naacl-main.264"},{"issue":"8","key":"ref39","first-page":"9","article-title":"Language models are unsupervised multitask learners","volume":"1","author":"Radford","year":"2019","journal-title":"OpenAI Blog"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1522"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-47436-2_18"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.findings-emnlp.130"},{"issue":"86","key":"ref43","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"Van Der Maaten","year":"2008","journal-title":"J. Mach. Learn. Res."},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.813"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.findings-emnlp.139"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1514"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1403"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1431"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.3038670"},{"key":"ref50","first-page":"1842","article-title":"Meta-learning with memory-augmented neural networks","volume-title":"Proc. 33rd Int. Conf. Mach. Learn.","author":"Santoro","year":"2016"},{"key":"ref51","first-page":"3637","article-title":"Matching networks for one shot learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Vinyals","year":"2016"},{"key":"ref52","article-title":"Meta-dataset: A dataset of datasets for learning to learn from few examples","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Triantafillou","year":"2020"}],"container-title":["IEEE\/ACM Transactions on Audio, Speech, and Language Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6570655\/10304349\/10458261.pdf?arnumber=10458261","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T15:15:14Z","timestamp":1711984514000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10458261\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":52,"URL":"https:\/\/doi.org\/10.1109\/taslp.2024.3372879","relation":{},"ISSN":["2329-9290","2329-9304"],"issn-type":[{"value":"2329-9290","type":"print"},{"value":"2329-9304","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}