{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T03:48:06Z","timestamp":1774928886064,"version":"3.50.1"},"reference-count":72,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":["62225113"],"award-info":[{"award-number":["62225113"]}],"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":["62076186"],"award-info":[{"award-number":["62076186"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Key Research and Development Program of China","award":["2021YFB2401302"],"award-info":[{"award-number":["2021YFB2401302"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE\/ACM Trans. Audio Speech Lang. Process."],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/taslp.2023.3290431","type":"journal-article","created":{"date-parts":[[2023,7,14]],"date-time":"2023-07-14T17:43:37Z","timestamp":1689356617000},"page":"2629-2642","source":"Crossref","is-referenced-by-count":25,"title":["Unified Instance and Knowledge Alignment Pretraining for Aspect-Based Sentiment Analysis"],"prefix":"10.1109","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3907-8820","authenticated-orcid":false,"given":"Juhua","family":"Liu","sequence":"first","affiliation":[{"name":"Research Center for Graphic Communication, Printing and Packaging, and Institute of Artificial Intelligence, Wuhan University, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-0118-5217","authenticated-orcid":false,"given":"Qihuang","family":"Zhong","sequence":"additional","affiliation":[{"name":"School of Computer Science, National Engineering Research Center for Multimedia Software, Institute of Artificial Intelligence, and Hubei Key Laboratory of Multimedia and Network Communication Engineering, Wuhan University, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8976-2084","authenticated-orcid":false,"given":"Liang","family":"Ding","sequence":"additional","affiliation":[{"name":"JD Explore Academy at JD.com, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4494-2799","authenticated-orcid":false,"given":"Hua","family":"Jin","sequence":"additional","affiliation":[{"name":"Affiliated Hospital, Kunming University of Science and Technology, Kunming, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0059-8458","authenticated-orcid":false,"given":"Bo","family":"Du","sequence":"additional","affiliation":[{"name":"School of Computer Science, National Engineering Research Center for Multimedia Software, Institute of Artificial Intelligence, and Hubei Key Laboratory of Multimedia and Network Communication Engineering, Wuhan University, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7225-5449","authenticated-orcid":false,"given":"Dacheng","family":"Tao","sequence":"additional","affiliation":[{"name":"School of Computer Science, Faculty of Engineering, The University of Sydney, Sydney, NSW, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2015.2443982"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1053"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.findings-acl.3"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1047"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1167"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.340"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P14-1146"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.288"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1654"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S16-1002"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.295"},{"key":"ref55","author":"mendenhall","year":"2012","journal-title":"Introduction to Probability and Statistics"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1464"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.106292"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1052"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-2092"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1031"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2019.11.048"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S15-2082"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P14-2009"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.26615\/978-954-452-056-4_050"},{"key":"ref45","first-page":"1","article-title":"Understanding and improving lexical choice in non-autoregressive translation","author":"ding","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1145\/1014052.1014073"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1561\/1500000019"},{"key":"ref42","first-page":"2324","article-title":"BERT post-training for review reading comprehension and aspect-based sentiment analysis","author":"xu","year":"0","journal-title":"Proc Conf North Amer Chapter Assoc Comput Linguistics Hum Lang Technol"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33014253"},{"key":"ref44","first-page":"1","article-title":"Distilling the knowledge in a neural network","author":"hinton","year":"0","journal-title":"Proc Conf Neural Inf Process Syst Deep Learn Workshop"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.findings-emnlp.152"},{"key":"ref49","first-page":"1195","article-title":"Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results","author":"tarvainen","year":"0","journal-title":"Proc Int Conf Adv Neural Inf Process Syst"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.588"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1058"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.451"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1234"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1021"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2022.3146052"},{"key":"ref5","first-page":"6691","article-title":"A contrastive cross-channel data augmentation framework for aspect-based sentiment analysis","author":"wang","year":"0","journal-title":"Proc 29th Int Conf Comput Linguistics"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.188"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i15.17597"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2978511"},{"key":"ref37","first-page":"7002","article-title":"LEGO-ABSA: A prompt-based task assemblable unified generative framework for multi-task aspect-based sentiment analysis","author":"gao","year":"0","journal-title":"Proc 29th Int Conf Comput Linguistics"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.naacl-main.362"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"ref30","first-page":"3111","article-title":"Distributed representations of words and phrases and their compositionality","author":"mikolov","year":"0","journal-title":"Proc 26th Int Conf Neural Inf Process Syst"},{"key":"ref33","first-page":"4171","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","author":"devlin","year":"0","journal-title":"Proc Conf North Amer Chapter Assoc Comput Linguistics Hum Lang Technol"},{"key":"ref32","article-title":"Improving language understanding by generative pretraining","author":"radford","year":"2018"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/S14-2004"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-3223-4_13"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.acl-long.145"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.naacl-main.115"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2022.109511"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.22"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1007\/s11280-022-01123-1"},{"key":"ref24","first-page":"3298","article-title":"Effective lstms for target-dependent sentiment classification","author":"tang","year":"0","journal-title":"Proc 26th Int Conf Comput Linguistics Tech Papers"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-93372-6_22"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33015581"},{"key":"ref67","first-page":"1","article-title":"ADAM: A method for stochastic optimization","author":"kingma","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1087"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/568"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1569"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.634"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.naacl-main.231"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-short.63"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.740"},{"key":"ref66","article-title":"Language models are unsupervised multitask learners","volume":"1","author":"radford","year":"2019","journal-title":"OpenAIRE blog"},{"key":"ref21","article-title":"Progressive neural networks","author":"rusu","year":"2016"},{"key":"ref65","first-page":"649","article-title":"Character-level convolutional networks for text classification","author":"zhang","year":"0","journal-title":"Proc 28th Int Conf Neural Inf Process Syst"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.findings-acl.232"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.494"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2023.3250499"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1007\/s12559-018-9549-x"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2020.3042009"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.107643"}],"container-title":["IEEE\/ACM Transactions on Audio, Speech, and Language Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6570655\/9970249\/10184157.pdf?arnumber=10184157","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,7]],"date-time":"2023-08-07T18:23:48Z","timestamp":1691432628000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10184157\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":72,"URL":"https:\/\/doi.org\/10.1109\/taslp.2023.3290431","relation":{},"ISSN":["2329-9290","2329-9304"],"issn-type":[{"value":"2329-9290","type":"print"},{"value":"2329-9304","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}