{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,23]],"date-time":"2025-08-23T00:05:53Z","timestamp":1755907553340,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":30,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,12,23]],"date-time":"2022-12-23T00:00:00Z","timestamp":1671753600000},"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":[[2022,12,23]]},"DOI":"10.1145\/3579654.3579741","type":"proceedings-article","created":{"date-parts":[[2023,3,14]],"date-time":"2023-03-14T16:09:40Z","timestamp":1678810180000},"page":"1-5","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Online Review System Using Relational Triple Extraction with Novel Data Augmentation Methods"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9720-2850","authenticated-orcid":false,"given":"Yufei","family":"Song","sequence":"first","affiliation":[{"name":"Beijing University of Posts and Telecommunications, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0420-9912","authenticated-orcid":false,"given":"Junyang","family":"Mo","sequence":"additional","affiliation":[{"name":"Beijing University of Posts and Telecommunications, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0143-7389","authenticated-orcid":false,"given":"Zhongming","family":"Pan","sequence":"additional","affiliation":[{"name":"Beijing University of Posts and Telecommunications, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,3,14]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/1376616.1376746"},{"key":"e_1_3_2_1_2_1","volume-title":"Autoaugment: Learning augmentation policies from data. arXiv preprint arXiv:1805.09501(2018).","author":"Cubuk D","year":"2018","unstructured":"Ekin\u00a0D Cubuk, Barret Zoph, Dandelion Mane, Vijay Vasudevan, and Quoc\u00a0V Le. 2018. Autoaugment: Learning augmentation policies from data. arXiv preprint arXiv:1805.09501(2018)."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00359"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2015.2438544"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623623"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1017"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"crossref","unstructured":"Matthew\u00a0R Gormley Mo Yu and Mark Dredze. 2015. Improved relation extraction with feature-rich compositional embedding models. arXiv preprint arXiv:1505.02419(2015).","DOI":"10.18653\/v1\/D15-1205"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.3945\/ajcn.2008.26142"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"crossref","unstructured":"Tom Ko Vijayaditya Peddinti Daniel Povey and Sanjeev Khudanpur. 2015. Audio augmentation for speech recognition. In Sixteenth annual conference of the international speech communication association.","DOI":"10.21437\/Interspeech.2015-711"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"crossref","unstructured":"Sosuke Kobayashi. 2018. Contextual augmentation: Data augmentation by words with paradigmatic relations. arXiv preprint arXiv:1805.06201(2018).","DOI":"10.18653\/v1\/N18-2072"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"crossref","unstructured":"Ruibo Liu Guangxuan Xu Chenyan Jia Weicheng Ma Lili Wang and Soroush Vosoughi. 2020. Data boost: Text data augmentation through reinforcement learning guided conditional generation. arXiv preprint arXiv:2012.02952(2020).","DOI":"10.18653\/v1\/2020.emnlp-main.726"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.3115\/1690219.1690287"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1105"},{"key":"e_1_3_2_1_15_1","first-page":"1111","article-title":"Surveillance Review System to Track Progress Towards Polio Eradication in the Horn of Africa","volume":"2","author":"Okiror S.","year":"2021","unstructured":"S. Okiror, J. Ogange, H. Shukla, C. Lamoureau, and C. Nwogu. 2021. Surveillance Review System to Track Progress Towards Polio Eradication in the Horn of Africa. Journal of immunological sciences Spec Issue, 2 (2021), 1111.","journal-title":"Journal of immunological sciences Spec Issue"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3488560.3498409"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-15939-8_10"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"crossref","unstructured":"Rico Sennrich Barry Haddow and Alexandra Birch. 2015. Improving neural machine translation models with monolingual data. arXiv preprint arXiv:1511.06709(2015).","DOI":"10.18653\/v1\/P16-1009"},{"volume-title":"Neural networks: tricks of the trade","author":"Simard Y","key":"e_1_3_2_1_19_1","unstructured":"Patrice\u00a0Y Simard, Yann\u00a0A LeCun, John\u00a0S Denker, and Bernard Victorri. 1998. Transformation invariance in pattern recognition\u2014tangent distance and tangent propagation. In Neural networks: tricks of the trade. Springer, 239\u2013274."},{"key":"e_1_3_2_1_20_1","unstructured":"Bing Wang Liang Ding Qihuang Zhong Ximing Li and Dacheng Tao. 2022. A contrastive cross-channel data augmentation framework for aspect-based sentiment analysis. arXiv preprint arXiv:2204.07832(2022)."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.coling-main.138"},{"key":"e_1_3_2_1_22_1","volume-title":"Eda: Easy data augmentation techniques for boosting performance on text classification tasks. arXiv preprint arXiv:1901.11196(2019).","author":"Wei Jason","year":"2019","unstructured":"Jason Wei and Kai Zou. 2019. Eda: Easy data augmentation techniques for boosting performance on text classification tasks. arXiv preprint arXiv:1901.11196(2019)."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.136"},{"key":"e_1_3_2_1_24_1","first-page":"6256","article-title":"Unsupervised data augmentation for consistency training","volume":"33","author":"Xie Qizhe","year":"2020","unstructured":"Qizhe Xie, Zihang Dai, Eduard Hovy, Thang Luong, and Quoc Le. 2020. Unsupervised data augmentation for consistency training. Advances in Neural Information Processing Systems 33 (2020), 6256\u20136268.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_25_1","unstructured":"Ziang Xie Sida\u00a0I Wang Jiwei Li Daniel L\u00e9vy Aiming Nie Dan Jurafsky and Andrew\u00a0Y Ng. 2017. Data noising as smoothing in neural network language models. arXiv preprint arXiv:1703.02573(2017)."},{"key":"e_1_3_2_1_26_1","volume-title":"Qanet: Combining local convolution with global self-attention for reading comprehension. arXiv preprint arXiv:1804.09541(2018).","author":"Yu Adams\u00a0Wei","year":"2018","unstructured":"Adams\u00a0Wei Yu, David Dohan, Minh-Thang Luong, Rui Zhao, Kai Chen, Mohammad Norouzi, and Quoc\u00a0V Le. 2018. Qanet: Combining local convolution with global self-attention for reading comprehension. arXiv preprint arXiv:1804.09541(2018)."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1047"},{"key":"e_1_3_2_1_28_1","unstructured":"Hongyi Zhang Moustapha Cisse Yann\u00a0N Dauphin and David Lopez-Paz. 2017. mixup: Beyond empirical risk minimization. arXiv preprint arXiv:1710.09412(2017)."},{"key":"e_1_3_2_1_29_1","volume-title":"Character-level convolutional networks for text classification. Advances in neural information processing systems 28","author":"Zhang Xiang","year":"2015","unstructured":"Xiang Zhang, Junbo Zhao, and Yann LeCun. 2015. Character-level convolutional networks for text classification. Advances in neural information processing systems 28 (2015)."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1113"}],"event":{"name":"ACAI 2022: 2022 5th International Conference on Algorithms, Computing and Artificial Intelligence","acronym":"ACAI 2022","location":"Sanya China"},"container-title":["Proceedings of the 2022 5th International Conference on Algorithms, Computing and Artificial Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3579654.3579741","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3579654.3579741","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T06:56:18Z","timestamp":1755845778000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3579654.3579741"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,23]]},"references-count":30,"alternative-id":["10.1145\/3579654.3579741","10.1145\/3579654"],"URL":"https:\/\/doi.org\/10.1145\/3579654.3579741","relation":{},"subject":[],"published":{"date-parts":[[2022,12,23]]},"assertion":[{"value":"2023-03-14","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}