{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T09:03:38Z","timestamp":1782983018606,"version":"3.54.5"},"reference-count":62,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2022,10,1]],"date-time":"2022-10-01T00:00:00Z","timestamp":1664582400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,10,1]],"date-time":"2022-10-01T00:00:00Z","timestamp":1664582400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,10,1]],"date-time":"2022-10-01T00:00:00Z","timestamp":1664582400000},"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":["62076100"],"award-info":[{"award-number":["62076100"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["x2rjD2220050"],"award-info":[{"award-number":["x2rjD2220050"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012245","name":"Science and Technology Planning Project of Guangdong Province","doi-asserted-by":"publisher","award":["2020B0101100002"],"award-info":[{"award-number":["2020B0101100002"]}],"id":[{"id":"10.13039\/501100012245","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Hong Kong Research Council","award":["PolyU 11204919"],"award-info":[{"award-number":["PolyU 11204919"]}]},{"name":"Hong Kong Research Council","award":["C1031-18G"],"award-info":[{"award-number":["C1031-18G"]}]},{"name":"Internal Research from the Hong Kong Polytechnic University","award":["1.9B0V"],"award-info":[{"award-number":["1.9B0V"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Affective Comput."],"published-print":{"date-parts":[[2022,10,1]]},"DOI":"10.1109\/taffc.2022.3205358","type":"journal-article","created":{"date-parts":[[2022,9,9]],"date-time":"2022-09-09T21:18:45Z","timestamp":1662758325000},"page":"1691-1704","source":"Crossref","is-referenced-by-count":6,"title":["Aspect-Opinion Correlation Aware and Knowledge-Expansion Few Shot Cross-Domain Sentiment Classification"],"prefix":"10.1109","volume":"13","author":[{"given":"Haopeng","family":"Ren","sequence":"first","affiliation":[{"name":"School of Software Engineering, South China University of Technology, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1767-789X","authenticated-orcid":false,"given":"Yi","family":"Cai","sequence":"additional","affiliation":[{"name":"School of Software Engineering, South China University of Technology, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yushi","family":"Zeng","sequence":"additional","affiliation":[{"name":"School of Software Engineering, South China University of Technology, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jinghui","family":"Ye","sequence":"additional","affiliation":[{"name":"School of Software Engineering, South China University of Technology, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4914-2934","authenticated-orcid":false,"given":"Ho-fung","family":"Leung","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3370-471X","authenticated-orcid":false,"given":"Qing","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Computing, The Hong Kong Polytechnic University, Hong Kong"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/s10796-020-10094-5"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.107280"},{"key":"ref33","first-page":"1180","article-title":"Unsupervised domain adaptation by backpropagation","author":"ganin","year":"2015","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref32","first-page":"264","article-title":"Instance weighting for domain adaptation in nlp","author":"jiang","year":"2007","journal-title":"Proc 45th Annu Meeting Assoc Comput Linguistics"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2012.103"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.3115\/1610075.1610094"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2901929"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6336"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1112"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.12055"},{"key":"ref60","first-page":"440","article-title":"Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification","author":"blitzer","year":"2007","journal-title":"Proc 45th Annu Meeting Assoc Comput Linguistics"},{"key":"ref62","first-page":"4171","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","author":"devlin","year":"2019","journal-title":"Proc Conf North Amer Chapter Assoc Comput Linguistics Hum Lang Technol"},{"key":"ref61","first-page":"1","article-title":"A simple neural attentive meta-learner","author":"mishra","year":"2018","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.3233\/JIFS-211045"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2022.05.045"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2021.107086"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CSCWD49262.2021.9437871"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1002\/widm.1253"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.11164"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-1174"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1172"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.acl-long.212"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1217"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s41060-022-00315-2"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2022.03.082"},{"key":"ref50","first-page":"2554","article-title":"Meta networks","volume":"70","author":"munkhdalai","year":"2017","journal-title":"Mach Learn Res"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33016407"},{"key":"ref59","first-page":"1","article-title":"Embedding entities and relations for learning and inference in knowledge bases","author":"yang","year":"2015","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2021.12.127"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-93417-4_38"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2807452"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-88480-2_56"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.findings-acl.145"},{"key":"ref53","article-title":"Explaining and harnessing adversarial examples","volume":"1050","author":"goodfellow","year":"2015","journal-title":"Statistical"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.102"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.coling-main.49"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2021.3063259"},{"key":"ref40","first-page":"2096","article-title":"Domain-adversarial training of neural networks","volume":"17","author":"ganin","year":"2016","journal-title":"J Mach Learn Res"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/545"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1233"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.coling-main.142"},{"key":"ref16","first-page":"4080","article-title":"Prototypical networks for few-shot learning","author":"snell","year":"2017","journal-title":"Proc 31st Int Conf Neural Informat Process Syst"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1649"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.337"},{"key":"ref19","first-page":"1","article-title":"A closer look at few-shot classification","author":"chen","year":"2018","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3061139"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2019.2897093"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P14-5010"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-88480-2_44"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.370"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1466"},{"key":"ref49","first-page":"1","article-title":"Few-shot learning with graph neural networks","author":"satorras","year":"2018","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.292"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.107736"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.107643"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.naacl-main.362"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.findings-acl.144"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33015773"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/311"},{"key":"ref44","first-page":"4171","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","author":"kenton","year":"2019","journal-title":"Proc NAACL-HLT"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N19-1258"}],"container-title":["IEEE Transactions on Affective Computing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5165369\/9964459\/09882094.pdf?arnumber=9882094","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,19]],"date-time":"2022-12-19T19:41:33Z","timestamp":1671478893000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9882094\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,1]]},"references-count":62,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/taffc.2022.3205358","relation":{},"ISSN":["1949-3045","2371-9850"],"issn-type":[{"value":"1949-3045","type":"electronic"},{"value":"2371-9850","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,10,1]]}}}