{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T09:22:11Z","timestamp":1780392131037,"version":"3.54.1"},"reference-count":38,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key R&D Program of China","doi-asserted-by":"publisher","award":["2020YFB1313601"],"award-info":[{"award-number":["2020YFB1313601"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Science Foundation of China","doi-asserted-by":"publisher","award":["62076174,61836007"],"award-info":[{"award-number":["62076174,61836007"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,7,18]]},"DOI":"10.1109\/ijcnn55064.2022.9891883","type":"proceedings-article","created":{"date-parts":[[2022,9,30]],"date-time":"2022-09-30T19:56:04Z","timestamp":1664567764000},"page":"1-8","source":"Crossref","is-referenced-by-count":2,"title":["Aspect Term Extraction via Contrastive Learning over Self-augmented Data"],"prefix":"10.1109","author":[{"given":"Yuchen","family":"Pan","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Soochow University,Soochow,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yu","family":"Hong","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Soochow University,Soochow,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qingting","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Soochow University,Soochow,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiaxiang","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Soochow University,Soochow,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianmin","family":"Yao","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Soochow University,Soochow,China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1128"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.293"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.552"},{"key":"ref31","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"The 3rd ICLR"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.188"},{"key":"ref37","first-page":"211","article-title":"Training stochastic model recognition algorithms as networks can lead to maximum mutual information estimation of pa-rameters","author":"bridle","year":"1989","journal-title":"NIPS"},{"key":"ref36","article-title":"Attention is all you need","volume":"30","author":"vaswani","year":"2017","journal-title":"NIPS"},{"key":"ref35","author":"kullback","year":"1997","journal-title":"Information Theory and Statistics"},{"key":"ref34","first-page":"1929","article-title":"Dropout: a simple way to prevent neural networks from overfit-ting","volume":"15","author":"srivastava","year":"2014","journal-title":"JMLR"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/1183614.1183625"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1162\/coli_a_00034"},{"key":"ref12","first-page":"1291","article-title":"Automated rule selection for aspect extraction in opinion mining","author":"liu","year":"2015","journal-title":"24th IJCAI"},{"key":"ref13","first-page":"1433","article-title":"Fine-grained opinion mining with recurrent neural networks and word embeddings","author":"liu","year":"2015","journal-title":"EMNLP"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-2094"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/583"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1344"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.296"},{"key":"ref18","first-page":"2324","article-title":"Bert post-training for review reading comprehension and aspect-based sentiment analysis","author":"xu","year":"2019","journal-title":"NAACL"},{"key":"ref19","first-page":"7056","article-title":"Conditional aug-mentation for aspect term extraction via masked sequence-to-sequence generation","author":"li","year":"2020","journal-title":"58th ACL"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N19-1259"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.340"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1306"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.findings-emnlp.156"},{"key":"ref6","article-title":"R-drop: regularized dropout for neural networks","volume":"34","author":"wu","year":"2021","journal-title":"NIPS"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.ecnlp-1.17"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i15.17597"},{"key":"ref8","first-page":"1735","article-title":"Dimensionality reduction by learning an invariant mapping","volume":"2","author":"hadsell","year":"2006","journal-title":"CVPR"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-22747-0_7"},{"key":"ref2","first-page":"1346","article-title":"Opinion target extraction using word-based translation model","author":"liu","year":"2012","journal-title":"EMNLP-CoNLL"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/1014052.1014073"},{"key":"ref9","first-page":"1597","article-title":"A simple framework for contrastive learning of visual representations","author":"chen","year":"0","journal-title":"ICML"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.164"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/S14-2004"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.23"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S16-1002"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S15-2082"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.339"},{"key":"ref25","first-page":"4171","article-title":"Bert: Pre-training of deep bidirectional transformers for language understanding","author":"kenton","year":"2019","journal-title":"NAACL-HLT"}],"event":{"name":"2022 International Joint Conference on Neural Networks (IJCNN)","location":"Padua, Italy","start":{"date-parts":[[2022,7,18]]},"end":{"date-parts":[[2022,7,23]]}},"container-title":["2022 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9891857\/9889787\/09891883.pdf?arnumber=9891883","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,3]],"date-time":"2022-11-03T22:57:58Z","timestamp":1667516278000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9891883\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,18]]},"references-count":38,"URL":"https:\/\/doi.org\/10.1109\/ijcnn55064.2022.9891883","relation":{},"subject":[],"published":{"date-parts":[[2022,7,18]]}}}