{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T04:19:08Z","timestamp":1783397948072,"version":"3.54.6"},"reference-count":70,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"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":["62076133"],"award-info":[{"award-number":["62076133"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62006117"],"award-info":[{"award-number":["62006117"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2024,11]]},"DOI":"10.1109\/tkde.2024.3392836","type":"journal-article","created":{"date-parts":[[2024,4,23]],"date-time":"2024-04-23T19:52:18Z","timestamp":1713901938000},"page":"7242-7254","source":"Crossref","is-referenced-by-count":10,"title":["Unified ABSA via Annotation-Decoupled Multi-Task Instruction Tuning"],"prefix":"10.1109","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6146-6248","authenticated-orcid":false,"given":"Zengzhi","family":"Wang","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0621-1058","authenticated-orcid":false,"given":"Rui","family":"Xia","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8380-0609","authenticated-orcid":false,"given":"Jianfei","family":"Yu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.2200\/S00416ED1V01Y201204HLT016"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/s14-2004"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3230975"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.188"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-short.64"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.726"},{"key":"ref7","first-page":"140:1","article-title":"Exploring the limits of transfer learning with a unified text-to-text transformer","volume":"21","author":"Raffel","year":"2020","journal-title":"J. Mach. Learn. Res."},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.703"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.findings-emnlp.171"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.emnlp-main.39"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P14-2009"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1058"},{"key":"ref13","first-page":"3298","article-title":"Effective LSTMs for target-dependent sentiment classification","volume-title":"Proc. Int. Conf. Comput. Linguistics","author":"Tang"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/p18-1234"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1048"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33016714"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1051"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.340"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1168"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/d16-1059"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10974"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N19-1259"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6469"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.582"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.296"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6447"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6383"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.183"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.findings-emnlp.234"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i15.17597"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.367"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.acl-long.212"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.29"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.findings-acl.174"},{"key":"ref35","article-title":"Improving language understanding by generative pre-training","author":"Radford","year":"2018"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1810.04805"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3560815"},{"key":"ref38","first-page":"1877","article-title":"Language models are few-shot learners","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Brown"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.32"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.naacl-main.185"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.295"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i10.21356"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.509"},{"key":"ref44","article-title":"The turking test: Can language models understand instructions?","author":"Efrat","year":"2020"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.acl-long.244"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007379606734"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390177"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3070203"},{"key":"ref49","article-title":"The natural language decathlon: Multitask learning as question answering","author":"McCann","year":"2018"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1441"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.naacl-main.313"},{"key":"ref52","article-title":"Structured prediction as translation between augmented natural languages","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Paolini"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.acl-long.395"},{"key":"ref54","article-title":"Finetuned language models are zero-shot learners","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Wei"},{"key":"ref55","article-title":"Multitask prompted training enables zero-shot task generalization","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Sanh"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1989.1.2.270"},{"key":"ref58","article-title":"Massively multilingual neural machine translation in the wild: Findings and challenges","author":"Arivazhagan","year":"2019"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-demos.6"},{"key":"ref60","article-title":"Decoupled weight decay regularization","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Loshchilov"},{"key":"ref61","first-page":"11 054","article-title":"True few-shot learning with language models","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Perez"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553380"},{"key":"ref63","first-page":"793","article-title":"GradNorm: Gradient normalization for adaptive loss balancing in deep multitask networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Chen"},{"key":"ref64","article-title":"Scaling instruction-finetuned language models","author":"Chung","year":"2022"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2022\/572"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.findings-acl.238"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i14.17500"},{"key":"ref68","article-title":"One for \u201call","volume":"7","author":"Lu","year":"2021","journal-title":"PeerJ. Comput. Sci."},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.findings-acl.3"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1654"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/69\/10709365\/10507027.pdf?arnumber=10507027","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,10]],"date-time":"2024-10-10T11:21:18Z","timestamp":1728559278000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10507027\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11]]},"references-count":70,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/tkde.2024.3392836","relation":{},"ISSN":["1041-4347","1558-2191","2326-3865"],"issn-type":[{"value":"1041-4347","type":"print"},{"value":"1558-2191","type":"electronic"},{"value":"2326-3865","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,11]]}}}