{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,17]],"date-time":"2026-07-17T00:31:03Z","timestamp":1784248263762,"version":"3.55.0"},"reference-count":68,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T00:00:00Z","timestamp":1751328000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T00:00:00Z","timestamp":1751328000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T00:00:00Z","timestamp":1751328000000},"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":["62172086"],"award-info":[{"award-number":["62172086"]}],"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":["62272092"],"award-info":[{"award-number":["62272092"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Affective Comput."],"published-print":{"date-parts":[[2025,7]]},"DOI":"10.1109\/taffc.2024.3521608","type":"journal-article","created":{"date-parts":[[2024,12,23]],"date-time":"2024-12-23T14:21:49Z","timestamp":1734963709000},"page":"1526-1542","source":"Crossref","is-referenced-by-count":8,"title":["Sentiment Triplet Extraction With Multi-View Contrastive Learning"],"prefix":"10.1109","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7215-563X","authenticated-orcid":false,"given":"Wenfang","family":"Wu","sequence":"first","affiliation":[{"name":"Data Mining Group, School of Computer Science and Engineering, Northeastern University, Shenyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1340-0778","authenticated-orcid":false,"given":"Daling","family":"Wang","sequence":"additional","affiliation":[{"name":"Data Mining Group, School of Computer Science and Engineering, Northeastern University, Shenyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8406-5677","authenticated-orcid":false,"given":"Ming","family":"Wang","sequence":"additional","affiliation":[{"name":"Data Mining Group, School of Computer Science and Engineering, Northeastern University, Shenyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2846-7652","authenticated-orcid":false,"given":"Shi","family":"Feng","sequence":"additional","affiliation":[{"name":"Data Mining Group, School of Computer Science and Engineering, Northeastern University, Shenyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yifei","family":"Zhang","sequence":"additional","affiliation":[{"name":"Data Mining Group, School of Computer Science and Engineering, Northeastern University, Shenyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33014253"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6383"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.367"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W18-6217"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6447"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.188"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-short.64"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.703"},{"key":"ref9","first-page":"1","article-title":"Contrastive learning with adversarial perturbations for conditional text generation","volume-title":"Proc. 9th Int. Conf. Learn. Representations","author":"Lee"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.findings-acl.136"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-88480-2_63"},{"key":"ref12","article-title":"Unsupervised pre-training for sequence to sequence speech recognition","author":"Fan","year":"2019"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.findings-acl.235"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.88"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.findings-acl.199"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2018.12.011"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-short.135"},{"key":"ref18","article-title":"Exploring the limits of chatGPT for query or aspect-based text summarization","author":"Yang","year":"2023"},{"key":"ref19","first-page":"41092","article-title":"Prompting large language model for machine translation: A case study","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Zhang"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00975"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.5555\/3524938.3525087"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.5555\/3495724.3497510"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01549"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1623"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.findings-emnlp.83"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482096"},{"key":"ref27","first-page":"6691","article-title":"A contrastive cross-channel data augmentation framework for aspect-based sentiment analysis","volume-title":"Proc. 29th Int Conf. Comput. Linguistics","author":"Wang"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/icassp49357.2023.10096470"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1344"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.340"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-2043"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6469"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1520"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.296"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1051"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1467"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i15.17597"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i14.17500"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1462"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i16.17659"},{"key":"ref41","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":"ref42","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i10.21409"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.552"},{"key":"ref44","first-page":"1","article-title":"Contrastive learning with hard negative samples","volume-title":"Proc. 9th Int. Conf. Learn. Representations","author":"Robinson"},{"key":"ref45","article-title":"Representation learning with contrastive predictive coding","author":"van den Oord","year":"2018"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00990"},{"key":"ref48","article-title":"UniCLIP: Unified framework for contrastive language-image pre-training","author":"Lee","year":"2022"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.naacl-main.41"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/s14-2004"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S15-2082"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/s16-1002"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.183"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1520"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10974"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33016714"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.183"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.findings-emnlp.234"},{"key":"ref59","article-title":"Explicit interaction network for aspect sentiment triplet extraction","author":"Wang","year":"2021"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482058"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.107073"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.acl-long.212"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.703"},{"key":"ref64","article-title":"Multilingual translation with extensible multilingual pretraining and finetuning","author":"Tang","year":"2020"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.naacl-main.41"},{"key":"ref66","article-title":"RoBERTa: A robustly optimized BERT pretraining approach","author":"Liu","year":"2019"},{"key":"ref67","article-title":"Scaling instruction-finetuned language models","author":"Chung","year":"2022"},{"key":"ref68","article-title":"MM-bigbench: Evaluating multimodal models on multimodal content comprehension tasks","author":"Yang","year":"2023"}],"container-title":["IEEE Transactions on Affective Computing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/5165369\/11152495\/10812814.pdf?arnumber=10812814","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,6]],"date-time":"2025-09-06T05:19:29Z","timestamp":1757135969000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10812814\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7]]},"references-count":68,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/taffc.2024.3521608","relation":{},"ISSN":["1949-3045","2371-9850"],"issn-type":[{"value":"1949-3045","type":"electronic"},{"value":"2371-9850","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,7]]}}}