{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T00:41:21Z","timestamp":1755823281218,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":30,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,5,13]],"date-time":"2024-05-13T00:00:00Z","timestamp":1715558400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100006374","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62002262,62172082,62072086,62072084"],"award-info":[{"award-number":["62002262,62172082,62072086,62072084"]}],"id":[{"id":"10.13039\/501100006374","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,5,13]]},"DOI":"10.1145\/3589334.3645397","type":"proceedings-article","created":{"date-parts":[[2024,5,8]],"date-time":"2024-05-08T07:08:13Z","timestamp":1715152093000},"page":"1975-1985","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Matching Feature Separation Network for Domain Adaptation in Entity Matching"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9990-0425","authenticated-orcid":false,"given":"Chenchen","family":"Sun","sequence":"first","affiliation":[{"name":"Chang'an University &amp; Tianjin University of Technology, Xi'an, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-3017-4975","authenticated-orcid":false,"given":"Yang","family":"Xu","sequence":"additional","affiliation":[{"name":"Chang'an University &amp; Tianjin University of Technology, Xi'an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0310-6372","authenticated-orcid":false,"given":"Derong","family":"Shen","sequence":"additional","affiliation":[{"name":"Northeastern University, Shenyang, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0166-1324","authenticated-orcid":false,"given":"Tiezheng","family":"Nie","sequence":"additional","affiliation":[{"name":"Northeastern University, Shenyang, China"}]}],"member":"320","published-online":{"date-parts":[[2024,5,13]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3183713.3196926"},{"key":"e_1_3_2_2_2_1","volume-title":"Simon Razniewski, Fabian Suchanek, and others.","author":"Weikum Gerhard","year":"2021","unstructured":"Gerhard Weikum, Xin Luna Dong, Simon Razniewski, Fabian Suchanek, and others. 2021. Machine knowledge: Creation and curation of comprehensive knowledge bases. Foundations and Trends\u00ae in Databases 10, 2--4 (2021), 108--490."},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-49461-2_23"},{"key":"e_1_3_2_2_4_1","volume-title":"Construction of knowledge graphs: State and challenges. arXiv preprint arXiv:2302.11509","author":"Hofer Marvin","year":"2023","unstructured":"Marvin Hofer, Daniel Obraczka, Alieh Saeedi, Hanna K\u00f6pcke, and Erhard Rahm. 2023. Construction of knowledge graphs: State and challenges. arXiv preprint arXiv:2302.11509 (2023)."},{"volume-title":"Principles of data integra-tion","author":"Doan AnHai","key":"e_1_3_2_2_5_1","unstructured":"AnHai Doan, Alon Halevy, and Zachary Ives. 2012. Principles of data integra-tion. Elsevier."},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00778-010-0206-6"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3405476"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.14778\/3236187.3236198"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.14778\/3421424.3421431"},{"key":"e_1_3_2_2_10_1","volume-title":"23rd International Confer-ence on Extending Database Technology","author":"Brunner Ursin","year":"2020","unstructured":"Ursin Brunner and Kurt Stockinger. 2020. Entity matching with transformer architectures-a step forward in data integration. In 23rd International Confer-ence on Extending Database Technology, Copenhagen, 30 March-2 April 2020, OpenProceedings, 463--473."},{"key":"e_1_3_2_2_11_1","volume-title":"Bert: Pre-training of deep bidirectional transformers for language understand-ing. arXiv preprint arXiv:1810.04805(2018).","author":"Devlin Jacob","year":"2018","unstructured":"Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018. Bert: Pre-training of deep bidirectional transformers for language understand-ing. arXiv preprint arXiv:1810.04805(2018)."},{"key":"e_1_3_2_2_12_1","volume-title":"a distilled version of BERT: smaller, faster, cheaper and lighter. arXiv preprint arXiv:1910.01108","author":"Sanh Victor","year":"2019","unstructured":"Victor Sanh, Lysandre Debut, Julien Chaumond, and Thomas Wolf. 2019. DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter. arXiv preprint arXiv:1910.01108 (2019)."},{"key":"e_1_3_2_2_13_1","volume-title":"Roberta: A robustly optimized bert pretraining approach. arXiv preprint arXiv:1907.11692","author":"Liu Yinhan","year":"2019","unstructured":"Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019. Roberta: A robustly optimized bert pretraining approach. arXiv preprint arXiv:1907.11692 (2019)."},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3514221.3517870"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3488560.3498486"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.316"},{"key":"e_1_3_2_2_17_1","unstructured":"Nishadi Kirielle Peter Christen and Thilina Ranbaduge. 2022. TransER: Ho-mogeneous Transfer Learning for Entity Resolution. In EDBT 2--118."},{"key":"e_1_3_2_2_18_1","unstructured":"Konstantinos Bousmalis George Trigeorgis Nathan Silberman Dilip Krishnan and Dumitru Erhan. 2016. Domain separation networks. Advances in neural information processing systems 29 (2016)."},{"key":"e_1_3_2_2_19_1","first-page":"86","article-title":"Domain Separation Network Based Entity Resolution Transferring Method","volume":"2","author":"Sun","year":"2023","unstructured":"Sun C, Xu L, Shen D, Nie T, and others. 2023. Domain Separation Network Based Entity Resolution Transferring Method. Journal of Hunan University 2 (2023), 86--94.","journal-title":"Journal of Hunan University"},{"key":"e_1_3_2_2_20_1","volume-title":"Proceedings of the AAAI Conference on Artificial Intelligence, 13226--13233","author":"Li Bing","year":"2021","unstructured":"Bing Li, Yukai Miao, Yaoshu Wang, Yifang Sun, and Wei Wang. 2021. Im-proving the efficiency and effectiveness for bert-based entity resolution. In Proceedings of the AAAI Conference on Artificial Intelligence, 13226--13233."},{"key":"e_1_3_2_2_21_1","volume-title":"Deep domain confusion: Maximizing for domain invariance. arXiv pre-print arXiv:1412.3474","author":"Tzeng Eric","year":"2014","unstructured":"Eric Tzeng, Judy Hoffman, Ning Zhang, Kate Saenko, and Trevor Darrell. 2014. Deep domain confusion: Maximizing for domain invariance. arXiv pre-print arXiv:1412.3474 (2014)."},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-49409-8_35"},{"key":"e_1_3_2_2_23_1","first-page":"1","article-title":"Domain-adversarial training of neural networks","volume":"17","author":"Ganin Yaroslav","year":"2016","unstructured":"Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan, Pascal Germain, Hugo Larochelle, Fran\u00e7ois Laviolette, Mario March, and Victor Lempitsky. 2016. Domain-adversarial training of neural networks. Journal of machine learning research 17, 59 (2016), 1--35.","journal-title":"Journal of machine learning research"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1125"},{"key":"e_1_3_2_2_25_1","volume-title":"Adversarial multi-task learning for text classification. arXiv preprint arXiv:1704.05742","author":"Liu Pengfei","year":"2017","unstructured":"Pengfei Liu, Xipeng Qiu, and Xuanjing Huang. 2017. Adversarial multi-task learning for text classification. arXiv preprint arXiv:1704.05742 (2017)."},{"key":"e_1_3_2_2_26_1","unstructured":"Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N Gomez and Illia Polosukhin. 2017. Attention is All you Need. In Advances in Neural Information Processing Systems 30. 5998--6008."},{"key":"e_1_3_2_2_27_1","volume-title":"Sentence bottleneck autoencoders from transformer language models. arXiv preprint arXiv:2109.00055","author":"Montero Ivan","year":"2021","unstructured":"Ivan Montero, and Nikolaos Pappas. 2021. Sentence bottleneck autoencoders from transformer language models. arXiv preprint arXiv:2109.00055 (2021)."},{"key":"e_1_3_2_2_28_1","volume-title":"The WDC Training Dataset and Gold Standard for Large-Scale Product Matching. In Companion Proceedings of The 2019 World Wide Web Conference (WWW '19)","author":"Primpeli Anna","year":"2019","unstructured":"Anna Primpeli, Ralph Peeters, and Christian Bizer. 2019. The WDC Training Dataset and Gold Standard for Large-Scale Product Matching. In Companion Proceedings of The 2019 World Wide Web Conference (WWW '19). Associa-tion for Computing Machinery, New York, NY, USA, 381--386."},{"key":"e_1_3_2_2_29_1","article-title":"Visualizing data using t-SNE","volume":"9","author":"der Maaten Laurens Van","year":"2008","unstructured":"Laurens Van der Maaten and Geoffrey Hinton. 2008. Visualizing data using t-SNE. Journal of machine learning research 9, 11 (2008).","journal-title":"Journal of machine learning research"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/3422622"}],"event":{"name":"WWW '24: The ACM Web Conference 2024","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"],"location":"Singapore Singapore","acronym":"WWW '24"},"container-title":["Proceedings of the ACM Web Conference 2024"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3589334.3645397","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3589334.3645397","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T00:27:43Z","timestamp":1755822463000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3589334.3645397"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,13]]},"references-count":30,"alternative-id":["10.1145\/3589334.3645397","10.1145\/3589334"],"URL":"https:\/\/doi.org\/10.1145\/3589334.3645397","relation":{},"subject":[],"published":{"date-parts":[[2024,5,13]]},"assertion":[{"value":"2024-05-13","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}