{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,11]],"date-time":"2026-04-11T09:32:10Z","timestamp":1775899930968,"version":"3.50.1"},"reference-count":27,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,5,23]],"date-time":"2022-05-23T00:00:00Z","timestamp":1653264000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,5,23]],"date-time":"2022-05-23T00:00:00Z","timestamp":1653264000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100018877","name":"Research and Innovation Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100018877","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,5,23]]},"DOI":"10.1109\/icassp43922.2022.9747904","type":"proceedings-article","created":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T19:50:34Z","timestamp":1651089034000},"page":"7817-7821","source":"Crossref","is-referenced-by-count":8,"title":["Prior-Bert and Multi-Task Learning for Target-Aspect-Sentiment Joint Detection"],"prefix":"10.1109","author":[{"given":"Cai","family":"Ke","sequence":"first","affiliation":[{"name":"School of Big Data and Software Engineering, Chongqing University,Chongqing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qingyu","family":"Xiong","sequence":"additional","affiliation":[{"name":"School of Big Data and Software Engineering, Chongqing University,Chongqing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chao","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Big Data and Software Engineering, Chongqing University,Chongqing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zikai","family":"Liao","sequence":"additional","affiliation":[{"name":"Xidian University,Xian,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hualing","family":"Yi","sequence":"additional","affiliation":[{"name":"School of Big Data and Software Engineering, Chongqing University,Chongqing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6447"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S15-2082"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S16-1002"},{"key":"ref13","article-title":"Bert: Pre-training of deep bidirectional transformers for language understanding","author":"devlin","year":"2018","journal-title":"arXiv preprint arXiv 1810 04805"},{"key":"ref14","first-page":"1035","article-title":"Extracting opinion targets in a single and cross-domain setting with conditional random fields","author":"jakob","year":"2010","journal-title":"Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing"},{"key":"ref15","article-title":"Sentiprompt: Sentiment knowledge enhanced prompt-tuning for aspect-based sentiment analysis","author":"li","year":"2021","journal-title":"arXiv preprint arXiv 2109 05674"},{"key":"ref16","article-title":"P-tuning v2: Prompt tuning can be comparable to fine-tuning universally across scales and tasks","author":"liu","year":"2021","journal-title":"arXiv preprint arXiv 2110 07058"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.509"},{"key":"ref18","article-title":"Long-tail learning via logit adjustment","author":"menon","year":"2020","journal-title":"arXiv preprint arXiv 2007 09948"},{"key":"ref19","article-title":"Bidirectional lstm-crf models for sequence tagging","author":"huang","year":"2015","journal-title":"arXiv preprint arXiv 1508 01991"},{"key":"ref4","article-title":"Aspect term extraction with history attention and selective trans-formation","author":"li","year":"2018","journal-title":"arXiv preprint arXiv 1805 00760"},{"key":"ref27","article-title":"Adam: A method-for stochastic optimization","author":"kingma","year":"2015","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10974"},{"key":"ref6","article-title":"Aspect category detection via topic-attention net-work","author":"movahedi","year":"2019","journal-title":"arXiv preprint arXiv 1901 01023"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.12048"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3390\/make1030048"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313750"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-55394-8_1"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W18-6217"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.588"},{"key":"ref20","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1023\/A:1007379606734","article-title":"Multitask learning","volume":"28","author":"caruana","year":"1997","journal-title":"Machine Learning"},{"key":"ref22","article-title":"Double embed-dings and cnn-based sequence labeling for aspect extraction","author":"xu","year":"2018","journal-title":"arXiv preprint arXiv 1805 04601"},{"key":"ref21","first-page":"151","article-title":"Mtna: a neural multi-task model for aspect category classification and aspect term extraction on restaurant reviews","author":"xue","year":"2017","journal-title":"Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2 Short Papers)"},{"key":"ref24","article-title":"Utilizing bert for aspect-based sentiment analysis via constructing auxiliary sen-tence","author":"sun","year":"2019","journal-title":"arXiv preprint arXiv 1903 09067"},{"key":"ref23","article-title":"Bert post-training for review reading comprehension and aspect-based sentiment analysis","author":"xu","year":"2019","journal-title":"arXiv preprint arXiv 1904 04370"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1056"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33016714"}],"event":{"name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","location":"Singapore, Singapore","start":{"date-parts":[[2022,5,23]]},"end":{"date-parts":[[2022,5,27]]}},"container-title":["ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9745891\/9746004\/09747904.pdf?arnumber=9747904","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,15]],"date-time":"2022-08-15T20:07:10Z","timestamp":1660594030000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9747904\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,23]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/icassp43922.2022.9747904","relation":{},"subject":[],"published":{"date-parts":[[2022,5,23]]}}}