{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,10]],"date-time":"2026-05-10T00:35:50Z","timestamp":1778373350367,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":49,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,7,6]],"date-time":"2022-07-06T00:00:00Z","timestamp":1657065600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,7,6]]},"DOI":"10.1145\/3477495.3531984","type":"proceedings-article","created":{"date-parts":[[2022,7,7]],"date-time":"2022-07-07T15:12:13Z","timestamp":1657206733000},"page":"1566-1576","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":10,"title":["Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification"],"prefix":"10.1145","author":[{"given":"Kai","family":"Zhang","sequence":"first","affiliation":[{"name":"Anhui Province Key Lab. of Big Data Analysis and Application, University of S&amp;T of China &amp; State Key Laboratory of Cognitive Intelligence, Hefei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qi","family":"Liu","sequence":"additional","affiliation":[{"name":"Anhui Province Key Lab. of Big Data Analysis and Application, University of S&amp;T of China &amp; State Key Laboratory of Cognitive Intelligence, Hefei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhenya","family":"Huang","sequence":"additional","affiliation":[{"name":"Anhui Province Key Lab. of Big Data Analysis and Application, University of S&amp;T of China &amp; State Key Laboratory of Cognitive Intelligence, Hefei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mingyue","family":"Cheng","sequence":"additional","affiliation":[{"name":"Anhui Province Key Lab. of Big Data Analysis and Application, University of S&amp;T of China &amp; State Key Laboratory of Cognitive Intelligence, Hefei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kun","family":"Zhang","sequence":"additional","affiliation":[{"name":"Hefei University of Technology, Hefei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mengdi","family":"Zhang","sequence":"additional","affiliation":[{"name":"Meituan, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Wu","sequence":"additional","affiliation":[{"name":"Meituan, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Enhong","family":"Chen","sequence":"additional","affiliation":[{"name":"Anhui Province Key Lab. of Big Data Analysis and Application, University of S&amp;T of China, Hefei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,7,7]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"Proceedings of the Annual Meeting of the Association for Computational Linguistics .","author":"Blitzer John","year":"2007","unstructured":"John Blitzer , Mark Dredze , and Fernando Pereira . 2007 . Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification . In Proceedings of the Annual Meeting of the Association for Computational Linguistics . John Blitzer, Mark Dredze, and Fernando Pereira. 2007. Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification. In Proceedings of the Annual Meeting of the Association for Computational Linguistics ."},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.5555\/1610075.1610094"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/681"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1082"},{"key":"e_1_3_2_2_5_1","volume-title":"International Conference on Learning Representations .","author":"Chen Jie","year":"2018","unstructured":"Jie Chen , Tengfei Ma , and Cao Xiao . 2018 . FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling . In International Conference on Learning Representations . Jie Chen, Tengfei Ma, and Cao Xiao. 2018. FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling. In International Conference on Learning Representations ."},{"key":"e_1_3_2_2_6_1","volume-title":"Proceedings of the 29th International Coference on International Conference on Machine Learning . 1627--1634","author":"Chen Minmin","year":"2012","unstructured":"Minmin Chen , Zhixiang Xu , Kilian Q Weinberger , and Fei Sha . 2012 . Marginalized denoising autoencoders for domain adaptation . In Proceedings of the 29th International Coference on International Conference on Machine Learning . 1627--1634 . Minmin Chen, Zhixiang Xu, Kilian Q Weinberger, and Fei Sha. 2012. Marginalized denoising autoencoders for domain adaptation. In Proceedings of the 29th International Coference on International Conference on Machine Learning . 1627--1634."},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.11014"},{"key":"e_1_3_2_2_8_1","volume-title":"Deep biaffine attention for neural dependency parsing. arXiv preprint arXiv:1611.01734","author":"Dozat Timothy","year":"2016","unstructured":"Timothy Dozat and Christopher D Manning . 2016. Deep biaffine attention for neural dependency parsing. arXiv preprint arXiv:1611.01734 ( 2016 ). Timothy Dozat and Christopher D Manning. 2016. Deep biaffine attention for neural dependency parsing. arXiv preprint arXiv:1611.01734 (2016)."},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.370"},{"key":"e_1_3_2_2_10_1","volume-title":"Unsupervised domain adaptation by backpropagation. arXiv preprint arXiv:1409.7495","author":"Ganin Yaroslav","year":"2014","unstructured":"Yaroslav Ganin and Victor Lempitsky . 2014. Unsupervised domain adaptation by backpropagation. arXiv preprint arXiv:1409.7495 ( 2014 ). Yaroslav Ganin and Victor Lempitsky. 2014. Unsupervised domain adaptation by backpropagation. arXiv preprint arXiv:1409.7495 (2014)."},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.5555\/2946645.2946704"},{"key":"e_1_3_2_2_12_1","volume-title":"KinGDOM: Knowledge-Guided DOMain adaptation for sentiment analysis. arXiv preprint arXiv:2005.00791","author":"Ghosal Deepanway","year":"2020","unstructured":"Deepanway Ghosal , Devamanyu Hazarika , Abhinaba Roy , Navonil Majumder , Rada Mihalcea , and Soujanya Poria . 2020. KinGDOM: Knowledge-Guided DOMain adaptation for sentiment analysis. arXiv preprint arXiv:2005.00791 ( 2020 ). Deepanway Ghosal, Devamanyu Hazarika, Abhinaba Roy, Navonil Majumder, Rada Mihalcea, and Soujanya Poria. 2020. KinGDOM: Knowledge-Guided DOMain adaptation for sentiment analysis. arXiv preprint arXiv:2005.00791 (2020)."},{"key":"e_1_3_2_2_13_1","volume-title":"Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach. In International Conference on Machine learning (ICML). Omnipress, 513--520","author":"Glorot Xavier","year":"2011","unstructured":"Xavier Glorot , Antoine Bordes , and Yoshua Bengio . 2011 . Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach. In International Conference on Machine learning (ICML). Omnipress, 513--520 . Xavier Glorot, Antoine Bordes, and Yoshua Bengio. 2011. Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach. In International Conference on Machine learning (ICML). Omnipress, 513--520."},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.572"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1383"},{"key":"e_1_3_2_2_16_1","volume-title":"Long short-term memory. Neural computation","author":"Hochreiter Sepp","year":"1997","unstructured":"Sepp Hochreiter and J\u00fcrgen Schmidhuber . 1997. Long short-term memory. Neural computation , Vol. 9 , 8 ( 1997 ), 1735--1780. Sepp Hochreiter and J\u00fcrgen Schmidhuber. 1997. Long short-term memory. Neural computation , Vol. 9, 8 (1997), 1735--1780."},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/1014052.1014073"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1549"},{"key":"e_1_3_2_2_19_1","volume-title":"Proceedings of NAACL-HLT . 4171--4186","author":"Ming-Wei Chang Jacob Devlin","year":"2019","unstructured":"Jacob Devlin Ming-Wei Chang Kenton and Lee Kristina Toutanova . 2019 . BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding . In Proceedings of NAACL-HLT . 4171--4186 . Jacob Devlin Ming-Wei Chang Kenton and Lee Kristina Toutanova. 2019. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In Proceedings of NAACL-HLT . 4171--4186."},{"key":"e_1_3_2_2_20_1","volume-title":"Adam: A Method for Stochastic Optimization. In ICLR (Poster) .","author":"Kingma Diederik P","year":"2015","unstructured":"Diederik P Kingma and Jimmy Ba . 2015 . Adam: A Method for Stochastic Optimization. In ICLR (Poster) . Diederik P Kingma and Jimmy Ba. 2015. Adam: A Method for Stochastic Optimization. In ICLR (Poster) ."},{"key":"e_1_3_2_2_21_1","volume-title":"Unsupervised Machine Translation Using Monolingual Corpora Only. In International Conference on Learning Representations .","author":"Lample Guillaume","year":"2018","unstructured":"Guillaume Lample , Alexis Conneau , Ludovic Denoyer , and Marc'Aurelio Ranzato . 2018 . Unsupervised Machine Translation Using Monolingual Corpora Only. In International Conference on Learning Representations . Guillaume Lample, Alexis Conneau, Ludovic Denoyer, and Marc'Aurelio Ranzato. 2018. Unsupervised Machine Translation Using Monolingual Corpora Only. In International Conference on Learning Representations ."},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.5555\/2390524.2390582"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6336"},{"key":"e_1_3_2_2_24_1","volume-title":"2020 a. Cross-Domain Sentiment Classification with In-Domain Contrastive Learning. arXiv preprint arXiv:2012.02943","author":"Li Tian","year":"2020","unstructured":"Tian Li , Xiang Chen , Shanghang Zhang , Zhen Dong , and Kurt Keutzer . 2020 a. Cross-Domain Sentiment Classification with In-Domain Contrastive Learning. arXiv preprint arXiv:2012.02943 ( 2020 ). Tian Li, Xiang Chen, Shanghang Zhang, Zhen Dong, and Kurt Keutzer. 2020 a. Cross-Domain Sentiment Classification with In-Domain Contrastive Learning. arXiv preprint arXiv:2012.02943 (2020)."},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.12055"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"crossref","unstructured":"Zheng Li Yun Zhang Ying Wei Yuxiang Wu and Qiang Yang. 2017. End-to-End Adversarial Memory Network for Cross-domain Sentiment Classification.. In IJCAI. 2237--2243. Zheng Li Yun Zhang Ying Wei Yuxiang Wu and Qiang Yang. 2017. End-to-End Adversarial Memory Network for Cross-domain Sentiment Classification.. In IJCAI. 2237--2243.","DOI":"10.24963\/ijcai.2017\/311"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.5555\/3019323"},{"key":"e_1_3_2_2_28_1","volume-title":"International conference on machine learning. PMLR, 97--105","author":"Long Mingsheng","year":"2015","unstructured":"Mingsheng Long , Yue Cao , Jianmin Wang , and Michael Jordan . 2015 . Learning transferable features with deep adaptation networks . In International conference on machine learning. PMLR, 97--105 . Mingsheng Long, Yue Cao, Jianmin Wang, and Michael Jordan. 2015. Learning transferable features with deep adaptation networks. In International conference on machine learning. PMLR, 97--105."},{"key":"e_1_3_2_2_29_1","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"van der Maaten Laurens","year":"2008","unstructured":"Laurens van der Maaten and Geoffrey Hinton . 2008 . Visualizing data using t-SNE . Journal of machine learning research , Vol. 9 , Nov (2008), 2579 -- 2605 . Laurens van der Maaten and Geoffrey Hinton. 2008. Visualizing data using t-SNE. Journal of machine learning research , Vol. 9, Nov (2008), 2579--2605.","journal-title":"Journal of machine learning research"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-27212-2_7"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/3412841.3441957"},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/1772690.1772767"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.3115\/1118693.1118704"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"e_1_3_2_2_35_1","volume-title":"Deep collaborative filtering with multi-aspect information in heterogeneous networks","author":"Shi Chuan","year":"2019","unstructured":"Chuan Shi , Xiaotian Han , Li Song , Xiao Wang , Senzhang Wang , Junping Du , and S Yu Philip . 2019. Deep collaborative filtering with multi-aspect information in heterogeneous networks . IEEE transactions on knowledge and data engineering , Vol. 33 , 4 ( 2019 ), 1413--1425. Chuan Shi, Xiaotian Han, Li Song, Xiao Wang, Senzhang Wang, Junping Du, and S Yu Philip. 2019. Deep collaborative filtering with multi-aspect information in heterogeneous networks. IEEE transactions on knowledge and data engineering , Vol. 33, 4 (2019), 1413--1425."},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1569"},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.naacl-main.231"},{"key":"e_1_3_2_2_38_1","unstructured":"Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N Gomez \u0141ukasz Kaiser and Illia Polosukhin. 2017. Attention is all you need. In Advances in neural information processing systems. 5998--6008. Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N Gomez \u0141ukasz Kaiser and Illia Polosukhin. 2017. Attention is all you need. In Advances in neural information processing systems. 5998--6008."},{"key":"e_1_3_2_2_39_1","volume-title":"Graph Attention Networks. In International Conference on Learning Representations .","author":"Petar Velivc","year":"2018","unstructured":"Petar Velivc kovi\u0107 , Guillem Cucurull , Arantxa Casanova , Adriana Romero , Pietro Li\u00f2 , and Yoshua Bengio . 2018 . Graph Attention Networks. In International Conference on Learning Representations . Petar Velivc kovi\u0107 , Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Li\u00f2, and Yoshua Bengio. 2018. Graph Attention Networks. In International Conference on Learning Representations ."},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.295"},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1202"},{"key":"e_1_3_2_2_42_1","volume-title":"Proceedings of 5th international joint conference on natural language processing . 614--622","author":"Xia Rui","year":"2011","unstructured":"Rui Xia and Chengqing Zong . 2011 . A POS-based ensemble model for cross-domain sentiment classification . In Proceedings of 5th international joint conference on natural language processing . 614--622 . Rui Xia and Chengqing Zong. 2011. A POS-based ensemble model for cross-domain sentiment classification. In Proceedings of 5th international joint conference on natural language processing . 614--622."},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33017370"},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1023"},{"key":"e_1_3_2_2_45_1","volume-title":"Learning to Share by Masking the Non-shared for Multi-domain Sentiment Classification. arXiv preprint arXiv:2104.08480","author":"Yuan Jianhua","year":"2021","unstructured":"Jianhua Yuan , Yanyan Zhao , Bing Qin , and Ting Liu . 2021. Learning to Share by Masking the Non-shared for Multi-domain Sentiment Classification. arXiv preprint arXiv:2104.08480 ( 2021 ). Jianhua Yuan, Yanyan Zhao, Bing Qin, and Ting Liu. 2021. Learning to Share by Masking the Non-shared for Multi-domain Sentiment Classification. arXiv preprint arXiv:2104.08480 (2021)."},{"key":"e_1_3_2_2_46_1","volume-title":"EATN: An Efficient Adaptive Transfer Network for Aspect-level Sentiment Analysis","author":"Zhang Kai","year":"2021","unstructured":"Kai Zhang , Qi Liu , Hao Qian , Biao Xiang , Qing Cui , Jun Zhou , and Enhong Chen . 2021 . EATN: An Efficient Adaptive Transfer Network for Aspect-level Sentiment Analysis . IEEE Transactions on Knowledge and Data Engineering ( 2021). Kai Zhang, Qi Liu, Hao Qian, Biao Xiang, Qing Cui, Jun Zhou, and Enhong Chen. 2021. EATN: An Efficient Adaptive Transfer Network for Aspect-level Sentiment Analysis. IEEE Transactions on Knowledge and Data Engineering (2021)."},{"key":"e_1_3_2_2_47_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33015773"},{"key":"e_1_3_2_2_48_1","volume-title":"Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis. arXiv preprint:2203.16369","author":"Zhang Kai","year":"2022","unstructured":"Kai Zhang , Kun Zhang , Mengdi Zhang , Hongke Zhao , Qi Liu , Wei Wu , and Enhong Chen . 2022. Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis. arXiv preprint:2203.16369 ( 2022 ). Kai Zhang, Kun Zhang, Mengdi Zhang, Hongke Zhao, Qi Liu, Wei Wu, and Enhong Chen. 2022. Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis. arXiv preprint:2203.16369 (2022)."},{"key":"e_1_3_2_2_49_1","doi-asserted-by":"publisher","DOI":"10.1109\/CSCI.2015.44"}],"event":{"name":"SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","location":"Madrid Spain","acronym":"SIGIR '22","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3477495.3531984","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3477495.3531984","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T18:10:20Z","timestamp":1750183820000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3477495.3531984"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,6]]},"references-count":49,"alternative-id":["10.1145\/3477495.3531984","10.1145\/3477495"],"URL":"https:\/\/doi.org\/10.1145\/3477495.3531984","relation":{},"subject":[],"published":{"date-parts":[[2022,7,6]]},"assertion":[{"value":"2022-07-07","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}