{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:18:58Z","timestamp":1750220338718,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":30,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,12,4]],"date-time":"2021-12-04T00:00:00Z","timestamp":1638576000000},"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":[[2021,12,4]]},"DOI":"10.1145\/3507548.3507571","type":"proceedings-article","created":{"date-parts":[[2022,3,9]],"date-time":"2022-03-09T23:12:40Z","timestamp":1646867560000},"page":"150-155","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Continual Learning for Sentiment Classification by Iterative Networks Combination"],"prefix":"10.1145","author":[{"given":"Shupeng","family":"Wang","sequence":"first","affiliation":[{"name":"University of Science and Technology of China, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Junhao","family":"Liu","sequence":"additional","affiliation":[{"name":"Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,3,9]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Hongjoon Ahn Sungmin Cha Donggyu Lee and Taesup Moon. 2019. Uncertainty-based continual learning with adaptive regularization. In NeurIPS. 4392\u20134402. Hongjoon Ahn Sungmin Cha Donggyu Lee and Taesup Moon. 2019. Uncertainty-based continual learning with adaptive regularization. In NeurIPS. 4392\u20134402."},{"key":"e_1_3_2_1_2_1","volume-title":"Online continual learning with maximally interfered retrieval. arXiv preprint arXiv:1908.04742","author":"Aljundi Rahaf","year":"2019","unstructured":"Rahaf Aljundi , Lucas Caccia , Eugene Belilovsky , Massimo Caccia , Min Lin , Laurent Charlin , and Tinne Tuytelaars . 2019. Online continual learning with maximally interfered retrieval. arXiv preprint arXiv:1908.04742 ( 2019 ). Rahaf Aljundi, Lucas Caccia, Eugene Belilovsky, Massimo Caccia, Min Lin, Laurent Charlin, and Tinne Tuytelaars. 2019. Online continual learning with maximally interfered retrieval. arXiv preprint arXiv:1908.04742 (2019)."},{"key":"e_1_3_2_1_3_1","volume-title":"Jamie Ryan Kiros, and Geoffrey E Hinton","author":"Ba Jimmy Lei","year":"2016","unstructured":"Jimmy Lei Ba , Jamie Ryan Kiros, and Geoffrey E Hinton . 2016 . Layer normalization. arXiv preprint arXiv:1607.06450 (2016). Jimmy Lei Ba, Jamie Ryan Kiros, and Geoffrey E Hinton. 2016. Layer normalization. arXiv preprint arXiv:1607.06450 (2016)."},{"key":"e_1_3_2_1_4_1","unstructured":"John Blitzer Mark Dredze and Fernando Pereira. 2007. Biographies bollywood boom-boxes and blenders: Domain adaptation for sentiment classification. In ACL. 440\u2013447. John Blitzer Mark Dredze and Fernando Pereira. 2007. Biographies bollywood boom-boxes and blenders: Domain adaptation for sentiment classification. In ACL. 440\u2013447."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"crossref","unstructured":"Zhiyuan Chen Nianzu Ma and Bing Liu. 2015. Lifelong learning for sentiment classification. In ACL. 750\u2013756. Zhiyuan Chen Nianzu Ma and Bing Liu. 2015. Lifelong learning for sentiment classification. In ACL. 750\u2013756.","DOI":"10.3115\/v1\/P15-2123"},{"key":"e_1_3_2_1_6_1","volume-title":"A continual learning survey: Defying forgetting in classification tasks","author":"Delange Matthias","year":"2021","unstructured":"Matthias Delange , Rahaf Aljundi , Marc Masana , Sarah Parisot , Xu Jia , Ales Leonardis , Greg Slabaugh , and Tinne Tuytelaars . 2021. A continual learning survey: Defying forgetting in classification tasks . IEEE Transactions on Pattern Analysis and Machine Intelligence ( 2021 ). Matthias Delange, Rahaf Aljundi, Marc Masana, Sarah Parisot, Xu Jia, Ales Leonardis, Greg Slabaugh, and Tinne Tuytelaars. 2021. A continual learning survey: Defying forgetting in classification tasks. IEEE Transactions on Pattern Analysis and Machine Intelligence (2021)."},{"key":"e_1_3_2_1_7_1","volume-title":"Bert: Pre-training of deep bidirectional transformers for language understanding. NAACL","author":"Devlin Jacob","year":"2019","unstructured":"Jacob Devlin , Ming-Wei Chang , Kenton Lee , and Kristina Toutanova . 2019 . Bert: Pre-training of deep bidirectional transformers for language understanding. NAACL (2019). Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. Bert: Pre-training of deep bidirectional transformers for language understanding. NAACL (2019)."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2005.06.042"},{"key":"e_1_3_2_1_9_1","volume-title":"Distilling the knowledge in a neural network. arXiv preprint arXiv:1503.02531","author":"Hinton Geoffrey","year":"2015","unstructured":"Geoffrey Hinton , Oriol Vinyals , and Jeff Dean . 2015. Distilling the knowledge in a neural network. arXiv preprint arXiv:1503.02531 ( 2015 ). Geoffrey Hinton, Oriol Vinyals, and Jeff Dean. 2015. Distilling the knowledge in a neural network. arXiv preprint arXiv:1503.02531 (2015)."},{"key":"e_1_3_2_1_10_1","volume-title":"International conference on machine learning. PMLR, 448\u2013456","author":"Ioffe Sergey","year":"2015","unstructured":"Sergey Ioffe and Christian Szegedy . 2015 . Batch normalization: Accelerating deep network training by reducing internal covariate shift . In International conference on machine learning. PMLR, 448\u2013456 . Sergey Ioffe and Christian Szegedy. 2015. Batch normalization: Accelerating deep network training by reducing internal covariate shift. In International conference on machine learning. PMLR, 448\u2013456."},{"key":"e_1_3_2_1_11_1","volume-title":"Convolutional neural networks for sentence classification. arXiv preprint arXiv:1408.5882","author":"Kim Yoon","year":"2014","unstructured":"Yoon Kim . 2014. Convolutional neural networks for sentence classification. arXiv preprint arXiv:1408.5882 ( 2014 ). Yoon Kim. 2014. Convolutional neural networks for sentence classification. arXiv preprint arXiv:1408.5882 (2014)."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1611835114"},{"key":"e_1_3_2_1_13_1","volume-title":"Overcoming catastrophic forgetting by incremental moment matching. arXiv preprint arXiv:1703.08475","author":"Lee Sang-Woo","year":"2017","unstructured":"Sang-Woo Lee , Jin-Hwa Kim , Jaehyun Jun , Jung-Woo Ha , and Byoung-Tak Zhang . 2017. Overcoming catastrophic forgetting by incremental moment matching. arXiv preprint arXiv:1703.08475 ( 2017 ). Sang-Woo Lee, Jin-Hwa Kim, Jaehyun Jun, Jung-Woo Ha, and Byoung-Tak Zhang. 2017. Overcoming catastrophic forgetting by incremental moment matching. arXiv preprint arXiv:1703.08475 (2017)."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"crossref","unstructured":"Z. Li and D. Hoiem. 2018. Learning without Forgetting. TPAMI (2018) 2935\u20132947. Z. Li and D. Hoiem. 2018. Learning without Forgetting. TPAMI (2018) 2935\u20132947.","DOI":"10.1109\/TPAMI.2017.2773081"},{"key":"e_1_3_2_1_15_1","unstructured":"David Lopez-Paz and Marc'Aurelio Ranzato. 2017. Gradient episodic memory for continual learning. In NeurIPS. 6467\u20136476. David Lopez-Paz and Marc'Aurelio Ranzato. 2017. Gradient episodic memory for continual learning. In NeurIPS. 6467\u20136476."},{"key":"e_1_3_2_1_16_1","unstructured":"Ilya Loshchilov and Frank Hutter. 2018. Fixing weight decay regularization in adam. (2018). Ilya Loshchilov and Frank Hutter. 2018. Fixing weight decay regularization in adam. (2018)."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"crossref","unstructured":"Guangyi Lv Shuai Wang Bing Liu Enhong Chen and Kun Zhang. 2019. Sentiment classification by leveraging the shared knowledge from a sequence of domains. In DASFAA. 795\u2013811. Guangyi Lv Shuai Wang Bing Liu Enhong Chen and Kun Zhang. 2019. Sentiment classification by leveraging the shared knowledge from a sequence of domains. In DASFAA. 795\u2013811.","DOI":"10.1007\/978-3-030-18576-3_47"},{"key":"e_1_3_2_1_18_1","unstructured":"Andrew L Maas Raymond E Daly Peter T Pham Dan Huang Andrew Y Ng and Christopher Potts. 2011. Learning word vectors for sentiment analysis. In ACL. 142\u2013150. Andrew L Maas Raymond E Daly Peter T Pham Dan Huang Andrew Y Ng and Christopher Potts. 2011. Learning word vectors for sentiment analysis. In ACL. 142\u2013150."},{"key":"e_1_3_2_1_19_1","volume-title":"Packnet: Adding multiple tasks to a single network by iterative pruning. In CVPR. 7765\u20137773.","author":"Mallya Arun","year":"2018","unstructured":"Arun Mallya and Svetlana Lazebnik . 2018 . Packnet: Adding multiple tasks to a single network by iterative pruning. In CVPR. 7765\u20137773. Arun Mallya and Svetlana Lazebnik. 2018. Packnet: Adding multiple tasks to a single network by iterative pruning. In CVPR. 7765\u20137773."},{"key":"e_1_3_2_1_20_1","unstructured":"Cuong V Nguyen Yingzhen Li Thang D Bui and Richard E Turner. 2018. Variational Continual Learning. (2018). Cuong V Nguyen Yingzhen Li Thang D Bui and Richard E Turner. 2018. Variational Continual Learning. (2018)."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"crossref","unstructured":"Bo Pang and Lillian Lee. 2005. Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales. In ACL. 115\u2013124. Bo Pang and Lillian Lee. 2005. Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales. In ACL. 115\u2013124.","DOI":"10.3115\/1219840.1219855"},{"key":"e_1_3_2_1_22_1","volume-title":"Catastrophic forgetting, rehearsal and pseudorehearsal. Connection Science 7, 2","author":"Robins Anthony","year":"1995","unstructured":"Anthony Robins . 1995. Catastrophic forgetting, rehearsal and pseudorehearsal. Connection Science 7, 2 ( 1995 ), 123\u2013146. Anthony Robins. 1995. Catastrophic forgetting, rehearsal and pseudorehearsal. Connection Science 7, 2 (1995), 123\u2013146."},{"key":"e_1_3_2_1_23_1","volume-title":"Progressive neural networks. arXiv preprint arXiv:1606.04671","author":"Rusu Andrei A","year":"2016","unstructured":"Andrei A Rusu , Neil C Rabinowitz , Guillaume Desjardins , Hubert Soyer , James Kirkpatrick , Koray Kavukcuoglu , Razvan Pascanu , and Raia Hadsell . 2016. Progressive neural networks. arXiv preprint arXiv:1606.04671 ( 2016 ). Andrei A Rusu, Neil C Rabinowitz, Guillaume Desjardins, Hubert Soyer, James Kirkpatrick, Koray Kavukcuoglu, Razvan Pascanu, and Raia Hadsell. 2016. Progressive neural networks. arXiv preprint arXiv:1606.04671 (2016)."},{"key":"e_1_3_2_1_24_1","volume-title":"Razvan Pascanu, and Raia Hadsell.","author":"Schwarz Jonathan","year":"2018","unstructured":"Jonathan Schwarz , Jelena Luketina , Wojciech M Czarnecki , Agnieszka Grabska-Barwinska , Yee Whye Teh , Razvan Pascanu, and Raia Hadsell. 2018 . Progress & compress: A scalable framework for continual learning. arXiv preprint arXiv:1805.06370 (2018). Jonathan Schwarz, Jelena Luketina, Wojciech M Czarnecki, Agnieszka Grabska-Barwinska, Yee Whye Teh, Razvan Pascanu, and Raia Hadsell. 2018. Progress & compress: A scalable framework for continual learning. arXiv preprint arXiv:1805.06370 (2018)."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2018.8622304"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"crossref","unstructured":"Nurulhuda Zainuddin and Ali Selamat. 2014. Sentiment analysis using support vector machine. In I4CT. 333\u2013337. Nurulhuda Zainuddin and Ali Selamat. 2014. Sentiment analysis using support vector machine. In I4CT. 333\u2013337.","DOI":"10.1109\/I4CT.2014.6914200"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.4304\/jait.2.4.199-203"},{"key":"#cr-split#-e_1_3_2_1_28_1.1","doi-asserted-by":"crossref","unstructured":"Xiaoyi Zhao and Yukio Ohsawa \"Sentiment Analysis on the Online Reviews Based on Hidden Markov Model \" Vol. 9 No. 2 pp. 33-38 May 2018. doi: 10.12720\/jait.9.2.33-38 10.12720\/jait.9.2.33-38","DOI":"10.12720\/jait.9.2.33-38"},{"key":"#cr-split#-e_1_3_2_1_28_1.2","doi-asserted-by":"crossref","unstructured":"Xiaoyi Zhao and Yukio Ohsawa \"Sentiment Analysis on the Online Reviews Based on Hidden Markov Model \" Vol. 9 No. 2 pp. 33-38 May 2018. doi: 10.12720\/jait.9.2.33-38","DOI":"10.12720\/jait.9.2.33-38"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.12720\/jait.10.1.14-19"}],"event":{"name":"CSAI 2021: 2021 5th International Conference on Computer Science and Artificial Intelligence","acronym":"CSAI 2021","location":"Beijing China"},"container-title":["2021 5th International Conference on Computer Science and Artificial Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3507548.3507571","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3507548.3507571","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:12:26Z","timestamp":1750191146000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3507548.3507571"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,4]]},"references-count":30,"alternative-id":["10.1145\/3507548.3507571","10.1145\/3507548"],"URL":"https:\/\/doi.org\/10.1145\/3507548.3507571","relation":{},"subject":[],"published":{"date-parts":[[2021,12,4]]},"assertion":[{"value":"2022-03-09","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}