{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,13]],"date-time":"2025-06-13T06:08:08Z","timestamp":1749794888695,"version":"3.28.0"},"reference-count":34,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,10,18]],"date-time":"2022-10-18T00:00:00Z","timestamp":1666051200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,10,18]],"date-time":"2022-10-18T00:00:00Z","timestamp":1666051200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,10,18]]},"DOI":"10.1109\/acii55700.2022.9953818","type":"proceedings-article","created":{"date-parts":[[2022,11,25]],"date-time":"2022-11-25T22:41:10Z","timestamp":1669416070000},"page":"1-8","source":"Crossref","is-referenced-by-count":3,"title":["Domain Adaptation for Stance Detection towards Unseen Target on Social Media"],"prefix":"10.1109","author":[{"given":"Ruofan","family":"Deng","sequence":"first","affiliation":[{"name":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University,Shanghai,China"}]},{"given":"Li","family":"Panl","sequence":"additional","affiliation":[{"name":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University,Shanghai,China"}]},{"given":"Chloe","family":"Clavel","sequence":"additional","affiliation":[{"name":"LTCI, T&#x00E9;l&#x00E9;com Paris, Institut Polytechnique de Paris,Palaiseau,France"}]}],"member":"263","reference":[{"key":"ref33","first-page":"3988","article-title":"Stance classification with target-specific neural attention networks","author":"du","year":"0","journal-title":"Proceedings of the 26th International Joint Conference on Artificial Intelligence"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1234"},{"journal-title":"Convolutional neural networks for sentence classification emnlp (2014) 1746&#x2013;1751","year":"2014","author":"kim","key":"ref31"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.127"},{"key":"ref34","first-page":"7963","article-title":"Transformer based multi-source domain adaptation","author":"wright","year":"0","journal-title":"Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1084"},{"key":"ref11","first-page":"2410","article-title":"Discovering discrete latent topics with neural variational inference","author":"miao","year":"0","journal-title":"International Conference on Machine Learning"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.findings-acl.278"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.coling-main.603"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.12055"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1498"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-2076"},{"key":"ref17","first-page":"654","article-title":"Leveraging auxiliary tasks for document-level cross-domain sentiment classification","author":"yu","year":"0","journal-title":"Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1 Long Papers)"},{"key":"ref18","first-page":"7035","article-title":"Unified feature and instance based domain adaptation for end-to-end aspect-based sentiment analysis","author":"gong","year":"0","journal-title":"Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)"},{"key":"ref19","article-title":"Learning deep representations by mutual information estimation and maximization","author":"hjelm","year":"0","journal-title":"International Conference on Learning Representations"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9053569"},{"key":"ref4","first-page":"1868","article-title":"Tweet stance detection using an attention based neural ensemble model","author":"siddiqua","year":"0","journal-title":"Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics Human Language Technologies Volume 1 (Long and Short Papers)"},{"key":"ref27","first-page":"5102","article-title":"Domain agnostic learning with disentangled representations","author":"peng","year":"0","journal-title":"International Conference on Machine Learning"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S16-1070"},{"key":"ref6","first-page":"778","article-title":"Cross-target stance classifi-cation with self-attention networks","author":"xu","year":"0","journal-title":"Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2 Short Papers)"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S16-1003"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3331184.3331367"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.naacl-main.379"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.291"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2021.102597"},{"key":"ref9","first-page":"4171","article-title":"Bert: Pre-training of deep bidirectional transformers for language understanding","author":"devlin","year":"0","journal-title":"Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics Human Language Technologies Volume 1 (Long and Short Papers)"},{"key":"ref1","first-page":"2673","article-title":"Stance detection: Concepts, approaches, re-sources, and outstanding issues","author":"k\u00fc\u00e7\u00fck","year":"0","journal-title":"Proceedings of the 44th Inter-national ACM SIGIR Conference on Research and Development in Information Retrieval"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/508"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.findings-acl.209"},{"key":"ref21","first-page":"264","article-title":"Instance weighting for domain adaptation in nlp","author":"jiang","year":"0","journal-title":"Proceedings annual meeting of the Association for Computational Linguistics"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00077"},{"key":"ref23","first-page":"2096","article-title":"Domain-adversarial training of neural networks","volume":"17","author":"ganin","year":"2016","journal-title":"The Journal of Machine Learning Research"},{"key":"ref26","first-page":"531","article-title":"Mutual information neural estimation","author":"belghazi","year":"0","journal-title":"International Conference on Machine Learning"},{"key":"ref25","article-title":"Feature alignment and restoration for domain generalization and adaptation","author":"jin","year":"2020","journal-title":"ArXiv Preprint"}],"event":{"name":"2022 10th International Conference on Affective Computing and Intelligent Interaction (ACII)","start":{"date-parts":[[2022,10,18]]},"location":"Nara, Japan","end":{"date-parts":[[2022,10,21]]}},"container-title":["2022 10th International Conference on Affective Computing and Intelligent Interaction (ACII)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9953736\/9953807\/09953818.pdf?arnumber=9953818","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,19]],"date-time":"2022-12-19T20:03:54Z","timestamp":1671480234000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9953818\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,18]]},"references-count":34,"URL":"https:\/\/doi.org\/10.1109\/acii55700.2022.9953818","relation":{},"subject":[],"published":{"date-parts":[[2022,10,18]]}}}