{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,22]],"date-time":"2026-01-22T01:45:00Z","timestamp":1769046300062,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":45,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,4,30]],"date-time":"2023-04-30T00:00:00Z","timestamp":1682812800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100000001","name":"NSF (National Science Foundation)","doi-asserted-by":"publisher","award":["1912887, 2107487, 2137846"],"award-info":[{"award-number":["1912887, 2107487, 2137846"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,4,30]]},"DOI":"10.1145\/3543507.3583250","type":"proceedings-article","created":{"date-parts":[[2023,4,26]],"date-time":"2023-04-26T23:30:51Z","timestamp":1682551851000},"page":"1500-1509","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":17,"title":["TTS: A Target-based Teacher-Student Framework for Zero-Shot Stance Detection"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4015-4576","authenticated-orcid":false,"given":"Yingjie","family":"Li","sequence":"first","affiliation":[{"name":"Computer Science, University of Illinois at Chicago, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3904-345X","authenticated-orcid":false,"given":"Chenye","family":"Zhao","sequence":"additional","affiliation":[{"name":"Computer Science, University of Illinois at Chicago, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5664-2163","authenticated-orcid":false,"given":"Cornelia","family":"Caragea","sequence":"additional","affiliation":[{"name":"Computer Science, University of Illinois at Chicago, USA"}]}],"member":"320","published-online":{"date-parts":[[2023,4,30]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Stance Detection on Social Media: State of the Art and Trends. arXiv preprint arXiv:2006.03644","author":"AlDayel Abeer","year":"2020","unstructured":"Abeer AlDayel and Walid Magdy. 2020. Stance Detection on Social Media: State of the Art and Trends. arXiv preprint arXiv:2006.03644 (2020). https:\/\/arxiv.org\/abs\/2006.03644"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.717"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.naacl-main.379"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6233"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1084"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.157"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.127"},{"key":"e_1_3_2_1_9_1","volume-title":"Proceedings of the 27th International Conference on Neural Information Processing Systems -","volume":"2","author":"Goodfellow J.","year":"2014","unstructured":"Ian\u00a0J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. 2014. Generative Adversarial Nets. In Proceedings of the 27th International Conference on Neural Information Processing Systems - Volume 2. 2672\u20132680. https:\/\/proceedings.neurips.cc\/paper\/2014\/file\/5ca3e9b122f61f8f06494c97b1afccf3-Paper.pdf"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1083"},{"key":"e_1_3_2_1_11_1","volume-title":"Auto-Encoding Variational Bayes. In 2nd International Conference on Learning Representations, ICLR","author":"P.","year":"2014","unstructured":"Diederik\u00a0P. Kingma and Max Welling. 2014. Auto-Encoding Variational Bayes. In 2nd International Conference on Learning Representations, ICLR 2014. https:\/\/arxiv.org\/pdf\/1312.6114.pdf"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.4"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3369026"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.lifelongnlp-1.3"},{"key":"e_1_3_2_1_15_1","volume-title":"Misinformation has High Perplexity. arXiv preprint arXiv:2006.04666","author":"Lee Nayeon","year":"2020","unstructured":"Nayeon Lee, Yejin Bang, Andrea Madotto, and Pascale Fung. 2020. Misinformation has High Perplexity. arXiv preprint arXiv:2006.04666 (2020). https:\/\/arxiv.org\/pdf\/2006.04666.pdf"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.703"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.631"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1657"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.naacl-main.148"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.511"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3511994"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449790"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.acl-long.7"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1"},{"key":"e_1_3_2_1_27_1","volume-title":"Decoupled Weight Decay Regularization. In International Conference on Learning Representations. https:\/\/arxiv.org\/abs\/1711","author":"Loshchilov Ilya","year":"2019","unstructured":"Ilya Loshchilov and Frank Hutter. 2019. Decoupled Weight Decay Regularization. In International Conference on Learning Representations. https:\/\/arxiv.org\/abs\/1711.05101"},{"key":"e_1_3_2_1_28_1","volume-title":"Proceedings of the 29th International Conference on Computational Linguistics. 7112\u20137123","author":"Luo Yun","year":"2022","unstructured":"Yun Luo, Zihan Liu, Yuefeng Shi, Stan\u00a0Z. Li, and Yue Zhang. 2022. Exploiting Sentiment and Common Sense for Zero-shot Stance Detection. In Proceedings of the 29th International Conference on Computational Linguistics. 7112\u20137123. https:\/\/aclanthology.org\/2022.coling-1.621"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1054"},{"key":"e_1_3_2_1_30_1","unstructured":"Tomas Mikolov Ilya Sutskever Kai Chen Greg\u00a0S Corrado and Jeff Dean. 2013. Distributed representations of words and phrases and their compositionality. In Advances in neural information processing systems. 3111\u20133119. https:\/\/proceedings.neurips.cc\/paper\/2013\/file\/9aa42b31882ec039965f3c4923ce901b-Paper.pdf"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/219717.219748"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S16-1003"},{"key":"e_1_3_2_1_33_1","unstructured":"Alec Radford Jeff Wu Rewon Child David Luan Dario Amodei and Ilya Sutskever. 2019. Language Models are Unsupervised Multitask Learners. (2019). https:\/\/d4mucfpksywv.cloudfront.net\/better-language-models\/language_models_are_unsupervised_multitask_learners.pdf"},{"key":"e_1_3_2_1_34_1","first-page":"10","volume-title":"Proceedings of the NAACL HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text. 116\u2013124","author":"Somasundaran Swapna","year":"2010","unstructured":"Swapna Somasundaran and Janyce Wiebe. 2010. Recognizing Stances in Ideological On-Line Debates. In Proceedings of the NAACL HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text. 116\u2013124. https:\/\/aclanthology.org\/W10-0214"},{"key":"e_1_3_2_1_35_1","first-page":"2579","article-title":"Visualizing Data using t-SNE","volume":"9","author":"van\u00a0der Maaten Laurens","year":"2008","unstructured":"Laurens van\u00a0der Maaten and Geoffrey Hinton. 2008. Visualizing Data using t-SNE. Journal of Machine Learning Research 9 (2008), 2579\u20132605. http:\/\/www.jmlr.org\/papers\/v9\/vandermaaten08a.html","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1306"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1670"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1101"},{"key":"e_1_3_2_1_39_1","volume-title":"Conditional BERT Contextual Augmentation. In International Conference on Computational Science. 84\u201395","author":"Wu Xing","year":"2019","unstructured":"Xing Wu, Shangwen Lv, Liangjun Zang, Jizhong Han, and Songlin Hu. 2019. Conditional BERT Contextual Augmentation. In International Conference on Computational Science. 84\u201395. https:\/\/arxiv.org\/abs\/1812.06705"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01070"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-2123"},{"key":"e_1_3_2_1_42_1","volume-title":"International Conference on Learning Representations. https:\/\/openreview.net\/references\/pdf?id=H1-o1a0DG","author":"Yu Adams\u00a0Wei","year":"2018","unstructured":"Adams\u00a0Wei Yu, David Dohan, Quoc Le, Thang Luong, Rui Zhao, and Kai Chen. 2018. Fast and accurate reading comprehension by combining self-attention and convolution. In International Conference on Learning Representations. https:\/\/openreview.net\/references\/pdf?id=H1-o1a0DG"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.710"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.291"},{"key":"e_1_3_2_1_45_1","volume-title":"Proceedings of the 28th International Conference on Neural Information Processing Systems -","volume":"1","author":"Zhang Xiang","year":"2015","unstructured":"Xiang Zhang, Junbo Zhao, and Yann LeCun. 2015. Character-Level Convolutional Networks for Text Classification. In Proceedings of the 28th International Conference on Neural Information Processing Systems - Volume 1. 649\u2013657. https:\/\/arxiv.org\/pdf\/1509.01626.pdf"}],"event":{"name":"WWW '23: The ACM Web Conference 2023","location":"Austin TX USA","acronym":"WWW '23","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"]},"container-title":["Proceedings of the ACM Web Conference 2023"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3543507.3583250","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/abs\/10.1145\/3543507.3583250","content-type":"text\/html","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3543507.3583250","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3543507.3583250","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:37:22Z","timestamp":1750178242000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3543507.3583250"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4,30]]},"references-count":45,"alternative-id":["10.1145\/3543507.3583250","10.1145\/3543507"],"URL":"https:\/\/doi.org\/10.1145\/3543507.3583250","relation":{},"subject":[],"published":{"date-parts":[[2023,4,30]]},"assertion":[{"value":"2023-04-30","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}