{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T20:22:22Z","timestamp":1740169342128,"version":"3.37.3"},"reference-count":47,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["2021R1A2C2008855"],"award-info":[{"award-number":["2021R1A2C2008855"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/access.2022.3228835","type":"journal-article","created":{"date-parts":[[2022,12,12]],"date-time":"2022-12-12T19:27:38Z","timestamp":1670873258000},"page":"130507-130517","source":"Crossref","is-referenced-by-count":3,"title":["Gated Relational Encoder-Decoder Model for Target-Oriented Opinion Word Extraction"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9171-357X","authenticated-orcid":false,"given":"Taegwan","family":"Kang","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering, Automation and Systems Research Institute, Seoul National University, Seoul, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2678-9858","authenticated-orcid":false,"given":"Segwang","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Automation and Systems Research Institute, Seoul National University, Seoul, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1506-6200","authenticated-orcid":false,"given":"Hyeongu","family":"Yun","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Automation and Systems Research Institute, Seoul National University, Seoul, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9367-9811","authenticated-orcid":false,"given":"Hwanhee","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Automation and Systems Research Institute, Seoul National University, Seoul, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2547-7051","authenticated-orcid":false,"given":"Kyomin","family":"Jung","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Automation and Systems Research Institute, Seoul National University, Seoul, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s00607-022-01062-9"},{"key":"ref2","first-page":"1","article-title":"Automatic extraction of opinion propositions and their holders","volume-title":"Proc. AAAI","volume":"2224","author":"Bethard"},{"key":"ref3","first-page":"1877","article-title":"Language models are few-shot learners","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Brown"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.582"},{"key":"ref5","first-page":"7","article-title":"Extraction of domain-specific opinion words for similar domains","volume-title":"Proc. Workshop Inf. Extraction Knowl. Acquisition","author":"Chetviorkin"},{"key":"ref6","article-title":"ELECTRA: Pre-training text encoders as discriminators rather than generators","author":"Clark","year":"2020","journal-title":"arXiv:2003.10555"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1810.04805"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N19-1259"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2022\/572"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.naacl-main.145"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1155\/2013\/394758"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/1014052.1014073"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.eacl-main.170"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482165"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.08.133"},{"key":"ref16","article-title":"BART: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension","author":"Lewis","year":"2019","journal-title":"arXiv:1910.13461"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1087"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1310"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3531768"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.2200\/S00416ED1V01Y201204HLT016"},{"key":"ref21","first-page":"2134","article-title":"Opinion target extraction using partially-supervised word alignment model","volume-title":"Proc. IJCAI","volume":"13","author":"Liu"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.722"},{"key":"ref23","first-page":"339","article-title":"Aspect extraction through semi-supervised modeling","volume-title":"Proc. 50th Annu. Meeting Assoc. Comput. Linguistics, Long Papers","volume":"1","author":"Mukherjee"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.3390\/computers11040052"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.2307\/j.ctvcm4g18.8"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6383"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S15-2082"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/s16-1002"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/s14-2004"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2016.06.009"},{"issue":"140","key":"ref31","first-page":"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":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-017-2390-9_10"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-37798-3_6"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00131"},{"key":"ref35","first-page":"1","article-title":"Attention is all you need","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Vaswani"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.719"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1967.1054010"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6447"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1059"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10974"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6469"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-2094"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.188"},{"key":"ref44","article-title":"Unsupervised word and dependency path embeddings for aspect term extraction","author":"Yin","year":"2016","journal-title":"arXiv:1605.07843"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-40837-3_1"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.10380"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/1183614.1183625"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9668973\/09982601.pdf?arnumber=9982601","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,14]],"date-time":"2024-03-14T03:48:42Z","timestamp":1710388122000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9982601\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":47,"URL":"https:\/\/doi.org\/10.1109\/access.2022.3228835","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2022]]}}}