{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,30]],"date-time":"2026-01-30T03:46:53Z","timestamp":1769744813468,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":57,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,5,16]],"date-time":"2022-05-16T00:00:00Z","timestamp":1652659200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"National Research Foundation, Singapore and National University of Singapore","award":["NSOE-TSS2020-02"],"award-info":[{"award-number":["NSOE-TSS2020-02"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,5,16]]},"DOI":"10.1145\/3524610.3527893","type":"proceedings-article","created":{"date-parts":[[2022,10,20]],"date-time":"2022-10-20T15:19:30Z","timestamp":1666279170000},"page":"178-189","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":17,"title":["Automated identification of libraries from vulnerability data"],"prefix":"10.1145","author":[{"given":"Stefanus A.","family":"Haryono","sequence":"first","affiliation":[{"name":"Singapore Management University, Singapore"}]},{"given":"Hong Jin","family":"Kang","sequence":"additional","affiliation":[{"name":"Singapore Management University, Singapore"}]},{"given":"Abhishek","family":"Sharma","sequence":"additional","affiliation":[{"name":"Veracode, Singapore"}]},{"given":"Asankhaya","family":"Sharma","sequence":"additional","affiliation":[{"name":"Veracode, Singapore"}]},{"given":"Andrew","family":"Santosa","sequence":"additional","affiliation":[{"name":"Veracode, Singapore"}]},{"given":"Ang Ming","family":"Yi","sequence":"additional","affiliation":[{"name":"Veracode, Singapore"}]},{"given":"David","family":"Lo","sequence":"additional","affiliation":[{"name":"Singapore Management University, Singapore"}]}],"member":"320","published-online":{"date-parts":[[2022,10,20]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"crossref","unstructured":"Mohammed Ali Al-Garadi Y.-C. Yang H. Cai Yucheng Ruan Karen O'Connor Graciela Gonzalez-Hernandez Jeanmarie Perrone and A. Sarker. 2020. Text Classification Models for the Automatic Detection of Nonmedical Prescription Medication Use from Social Media. medRxiv (2020).  Mohammed Ali Al-Garadi Y.-C. Yang H. Cai Yucheng Ruan Karen O'Connor Graciela Gonzalez-Hernandez Jeanmarie Perrone and A. Sarker. 2020. Text Classification Models for the Automatic Detection of Nonmedical Prescription Medication Use from Social Media. medRxiv (2020).","DOI":"10.21203\/rs.3.rs-58679\/v1"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/SANER50967.2021.00048"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3018661.3018741"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.3115\/1073012.1073017"},{"key":"e_1_3_2_1_5_1","volume-title":"Proceedings of the 28th International Conference on Neural Information Processing Systems -","volume":"1","author":"Bhatia Kush","year":"2015","unstructured":"Kush Bhatia , Himanshu Jain , Purushottam Kar , Manik Varma , and Prateek Jain . 2015 . Sparse Local Embeddings for Extreme Multi-Label Classification . In Proceedings of the 28th International Conference on Neural Information Processing Systems - Volume 1 (Montreal, Canada) (NIPS'15). MIT Press, Cambridge, MA, USA, 730--738. Kush Bhatia, Himanshu Jain, Purushottam Kar, Manik Varma, and Prateek Jain. 2015. Sparse Local Embeddings for Extreme Multi-Label Classification. In Proceedings of the 28th International Conference on Neural Information Processing Systems - Volume 1 (Montreal, Canada) (NIPS'15). MIT Press, Cambridge, MA, USA, 730--738."},{"key":"e_1_3_2_1_6_1","volume-title":"Natural Language Processing with Python","author":"Bird Steven","unstructured":"Steven Bird , Ewan Klein , and Edward Loper . 2009. Natural Language Processing with Python ( 1 st ed.). O'Reilly Media, Inc. Steven Bird, Ewan Klein, and Edward Loper. 2009. Natural Language Processing with Python (1st ed.). O'Reilly Media, Inc.","edition":"1"},{"key":"e_1_3_2_1_8_1","volume-title":"Parallel Programming in OpenMP","author":"Chandra Robit","unstructured":"Robit Chandra , Leonardo Dagum , Dave Kohr , Dror Maydan , Jeff McDonald , and Ramesh Menon . 2001. Parallel Programming in OpenMP . Morgan Kaufmann Publishers Inc ., San Francisco, CA, USA. Robit Chandra, Leonardo Dagum, Dave Kohr, Dror Maydan, Jeff McDonald, and Ramesh Menon. 2001. Parallel Programming in OpenMP. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403368"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-32034-2_42"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3377813.3381360"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3379597.3387461"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2015.2438544"},{"key":"e_1_3_2_1_14_1","volume-title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In 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. In NAACL. Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In NAACL."},{"key":"e_1_3_2_1_15_1","unstructured":"Simon Shaolei Du Yining Wang Xiyu Zhai Sivaraman Balakrishnan Ruslan Salakhutdinov and Aarti Singh. 2018. How Many Samples are Needed to Estimate a Convolutional Neural Network?. In NeurIPS.  Simon Shaolei Du Yining Wang Xiyu Zhai Sivaraman Balakrishnan Ruslan Salakhutdinov and Aarti Singh. 2018. How Many Samples are Needed to Estimate a Convolutional Neural Network?. In NeurIPS."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00413"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jss.2020.110653"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1154"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467426"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2009.36"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939756"},{"key":"e_1_3_2_1_22_1","volume-title":"Proceedings of the 33rd International Conference on International Conference on Machine Learning -","volume":"48","author":"Jasinska Kalina","year":"2016","unstructured":"Kalina Jasinska , Krzysztof Dembczynski , Robert Busa-Fekete , Karlson Pfannschmidt , Timo Klerx , and Eyke H\u00fcllermeier . 2016 . Extreme F-Measure Maximization Using Sparse Probability Estimates . In Proceedings of the 33rd International Conference on International Conference on Machine Learning - Volume 48 (New York, NY, USA) (ICML'16). JMLR.org, 1435--1444. Kalina Jasinska, Krzysztof Dembczynski, Robert Busa-Fekete, Karlson Pfannschmidt, Timo Klerx, and Eyke H\u00fcllermeier. 2016. Extreme F-Measure Maximization Using Sparse Probability Estimates. In Proceedings of the 33rd International Conference on International Conference on Machine Learning - Volume 48 (New York, NY, USA) (ICML'16). JMLR.org, 1435--1444."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i9.16974"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/E17-2068"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3377811.3380342"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-020-05888-2"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1181"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/DSN48987.2021.00031"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080834"},{"key":"e_1_3_2_1_30_1","volume-title":"RoBERTa: A Robustly Optimized BERT Pretraining Approach. ArXiv abs\/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 abs\/1907.11692 ( 2019 ). 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 abs\/1907.11692 (2019)."},{"key":"e_1_3_2_1_31_1","unstructured":"Yihuan Mao Yujing Wang Chufan Wu Chen Zhang Yang Wang Yaming Yang Quanlu Zhang Yunhai Tong and Jing Bai. 2020. LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression. In COLING.  Yihuan Mao Yujing Wang Chufan Wu Chen Zhang Yang Wang Yaming Yang Quanlu Zhang Yunhai Tong and Jing Bai. 2020. LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression. In COLING."},{"key":"e_1_3_2_1_32_1","volume-title":"Investigating Class-Level Difficulty Factors In Multi-Label Classification Problems. 2020 IEEE International Conference on Multimedia and Expo (ICME)","author":"Marsden Mark","year":"2020","unstructured":"Mark Marsden , Kevin McGuinness , Joseph Antony , Haolin Wei , Milan D. Redzic , Jian Tang , Zhilan Hu , Alan F. Smeaton , and Noel E . O'Connor. 2020 . Investigating Class-Level Difficulty Factors In Multi-Label Classification Problems. 2020 IEEE International Conference on Multimedia and Expo (ICME) ( 2020 ), 1--6. Mark Marsden, Kevin McGuinness, Joseph Antony, Haolin Wei, Milan D. Redzic, Jian Tang, Zhilan Hu, Alan F. Smeaton, and Noel E. O'Connor. 2020. Investigating Class-Level Difficulty Factors In Multi-Label Classification Problems. 2020 IEEE International Conference on Multimedia and Expo (ICME) (2020), 1--6."},{"key":"e_1_3_2_1_33_1","unstructured":"Eneldo Loza Menc\u00eda and Johannes F\u00fcrnkranz. 2008. Efficient Pairwise Multilabel Classification for Large-Scale Problems in the Legal Domain. In ECML\/PKDD.  Eneldo Loza Menc\u00eda and Johannes F\u00fcrnkranz. 2008. Efficient Pairwise Multilabel Classification for Large-Scale Problems in the Legal Domain. In ECML\/PKDD."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3180155.3180201"},{"key":"e_1_3_2_1_35_1","article-title":"Deep Learning-Based Text Classification","volume":"54","author":"Minaee Shervin","year":"2021","unstructured":"Shervin Minaee , Nal Kalchbrenner , Erik Cambria , Narjes Nikzad , Meysam Chenaghlu , and Jianfeng Gao . 2021 . Deep Learning-Based Text Classification : A Comprehensive Review. ACM Comput. Surv. 54 , 3, Article 62 (April 2021), 40 pages. Shervin Minaee, Nal Kalchbrenner, Erik Cambria, Narjes Nikzad, Meysam Chenaghlu, and Jianfeng Gao. 2021. Deep Learning-Based Text Classification: A Comprehensive Review. ACM Comput. Surv. 54, 3, Article 62 (April 2021), 40 pages.","journal-title":"A Comprehensive Review. ACM Comput. Surv."},{"key":"e_1_3_2_1_36_1","first-page":"2825","article-title":"Scikit-learn: Machine learning in Python","author":"Pedregosa Fabian","year":"2011","unstructured":"Fabian Pedregosa , Ga\u00ebl Varoquaux , Alexandre Gramfort , Vincent Michel , Bertrand Thirion , Olivier Grisel , Mathieu Blondel , Peter Prettenhofer , Ron Weiss , Vincent Dubourg , 2011 . Scikit-learn: Machine learning in Python . Journal of machine learning research 12 , Oct (2011), 2825 -- 2830 . Fabian Pedregosa, Ga\u00ebl Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, Olivier Grisel, Mathieu Blondel, Peter Prettenhofer, Ron Weiss, Vincent Dubourg, et al. 2011. Scikit-learn: Machine learning in Python. Journal of machine learning research 12, Oct (2011), 2825--2830.","journal-title":"Journal of machine learning research 12"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/1858996.1859089"},{"key":"e_1_3_2_1_38_1","volume-title":"Detection, assessment and mitigation of vulnerabilities in open source dependencies. Empirical Software Engineering","author":"Ponta Serena Elisa","year":"2020","unstructured":"Serena Elisa Ponta , Henrik Plate , and Antonino Sabetta . 2020. Detection, assessment and mitigation of vulnerabilities in open source dependencies. Empirical Software Engineering ( 2020 ), 1--41. Serena Elisa Ponta, Henrik Plate, and Antonino Sabetta. 2020. Detection, assessment and mitigation of vulnerabilities in open source dependencies. Empirical Software Engineering (2020), 1--41."},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3185998"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623651"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2018.08.010"},{"key":"e_1_3_2_1_42_1","volume-title":"On the stratification of multi-label data. Machine Learning and Knowledge Discovery in Databases","author":"Sechidis Konstantinos","year":"2011","unstructured":"Konstantinos Sechidis , Grigorios Tsoumakas , and Ioannis Vlahavas . 2011. On the stratification of multi-label data. Machine Learning and Knowledge Discovery in Databases ( 2011 ), 145--158. Konstantinos Sechidis, Grigorios Tsoumakas, and Ioannis Vlahavas. 2011. On the stratification of multi-label data. Machine Learning and Knowledge Discovery in Databases (2011), 145--158."},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-23808-6_10"},{"key":"e_1_3_2_1_44_1","volume-title":"MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices. ArXiv abs\/2004.02984","author":"Sun Zhiqing","year":"2020","unstructured":"Zhiqing Sun , Hongkun Yu , Xiaodan Song , Renjie Liu , Yiming Yang , and Denny Zhou . 2020. MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices. ArXiv abs\/2004.02984 ( 2020 ). Zhiqing Sun, Hongkun Yu, Xiaodan Song, Renjie Liu, Yiming Yang, and Denny Zhou. 2020. MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices. ArXiv abs\/2004.02984 (2020)."},{"key":"e_1_3_2_1_45_1","volume-title":"Proceedings of the First International Workshop on Learning with Imbalanced Domains: Theory and Applications (Proceedings of Machine Learning Research","volume":"35","author":"Szyma\u0144ski Piotr","year":"2017","unstructured":"Piotr Szyma\u0144ski and Tomasz Kajdanowicz . 2017 . A Network Perspective on Stratification of Multi-Label Data . In Proceedings of the First International Workshop on Learning with Imbalanced Domains: Theory and Applications (Proceedings of Machine Learning Research , Vol. 74), Lu\u00eds Torgo, Bartosz Krawczyk, Paula Branco, and Nuno Moniz (Eds.). PMLR, ECML-PKDD, Skopje, Macedonia, 22-- 35 . Piotr Szyma\u0144ski and Tomasz Kajdanowicz. 2017. A Network Perspective on Stratification of Multi-Label Data. In Proceedings of the First International Workshop on Learning with Imbalanced Domains: Theory and Applications (Proceedings of Machine Learning Research, Vol. 74), Lu\u00eds Torgo, Bartosz Krawczyk, Paula Branco, and Nuno Moniz (Eds.). PMLR, ECML-PKDD, Skopje, Macedonia, 22--35."},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3097987"},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2020.3023664"},{"key":"e_1_3_2_1_48_1","volume-title":"Does Tail Label Help for Large-Scale Multi-Label Learning? IEEE transactions on neural networks and learning systems 31, 7","author":"Wei Tong","year":"2019","unstructured":"Tong Wei and Yu-Feng Li. 2019. Does Tail Label Help for Large-Scale Multi-Label Learning? IEEE transactions on neural networks and learning systems 31, 7 ( 2019 ), 2315--2324. Tong Wei and Yu-Feng Li. 2019. Does Tail Label Help for Large-Scale Multi-Label Learning? IEEE transactions on neural networks and learning systems 31, 7 (2019), 2315--2324."},{"key":"e_1_3_2_1_49_1","volume-title":"HuggingFace's Transformers: State-of-the-art Natural Language Processing. ArXiv abs\/1910.03771","author":"Wolf Thomas","year":"2019","unstructured":"Thomas Wolf , Lysandre Debut , Victor Sanh , Julien Chaumond , Clement Delangue , Anthony Moi , Pierric Cistac , Tim Rault , R'emi Louf , Morgan Funtowicz , and Jamie Brew . 2019. HuggingFace's Transformers: State-of-the-art Natural Language Processing. ArXiv abs\/1910.03771 ( 2019 ). Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi,Pierric Cistac, Tim Rault, R'emi Louf, Morgan Funtowicz, and Jamie Brew. 2019. HuggingFace's Transformers: State-of-the-art Natural Language Processing. ArXiv abs\/1910.03771 (2019)."},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1109\/DICTA.2016.7797091"},{"key":"e_1_3_2_1_51_1","unstructured":"Tong Wu Qingqiu Huang Ziwei Liu Yu Wang and Dahua Lin. 2020. Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets. In ECCV.  Tong Wu Qingqiu Huang Ziwei Liu Yu Wang and Dahua Lin. 2020. Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets. In ECCV."},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.5555\/3327345.3327532"},{"key":"e_1_3_2_1_53_1","volume-title":"Le","author":"Yang Zhilin","year":"2019","unstructured":"Zhilin Yang , Zihang Dai , Yiming Yang , Jaime G. Carbonell , Ruslan Salakhutdinov , and Quoc V . Le . 2019 . XLNet: Generalized Autoregressive Pretraining for Language Understanding. In NeurIPS. Zhilin Yang, Zihang Dai, Yiming Yang, Jaime G. Carbonell, Ruslan Salakhutdinov, and Quoc V. Le. 2019. XLNet: Generalized Autoregressive Pretraining for Language Understanding. In NeurIPS."},{"key":"e_1_3_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.1145\/3437963.3441667"},{"key":"e_1_3_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098083"},{"key":"e_1_3_2_1_56_1","volume-title":"Proceedings of the 33rd International Conference on International Conference on Machine Learning -","volume":"48","author":"Yen Ian E. H.","unstructured":"Ian E. H. Yen , Xiangru Huang , Kai Zhong , Pradeep Ravikumar , and Inderjit S. Dhillon . 2016. PD-Sparse: A Primal and Dual Sparse Approach to Extreme Multiclass and Multilabel Classification . In Proceedings of the 33rd International Conference on International Conference on Machine Learning - Volume 48 (New York, NY, USA) (ICML'16). JMLR.org, 3069--3077. Ian E. H. Yen, Xiangru Huang, Kai Zhong, Pradeep Ravikumar, and Inderjit S. Dhillon. 2016. PD-Sparse: A Primal and Dual Sparse Approach to Extreme Multiclass and Multilabel Classification. In Proceedings of the 33rd International Conference on International Conference on Machine Learning - Volume 48 (New York, NY, USA) (ICML'16). JMLR.org, 3069--3077."},{"key":"e_1_3_2_1_57_1","unstructured":"Ronghui You Zihan Zhang Ziye Wang Suyang Dai Hiroshi Mamitsuka and Shanfeng Zhu. 2019. AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification. In NeurIPS.  Ronghui You Zihan Zhang Ziye Wang Suyang Dai Hiroshi Mamitsuka and Shanfeng Zhu. 2019. AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification. In NeurIPS."},{"key":"e_1_3_2_1_58_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.7000"}],"event":{"name":"ICPC '22: 30th International Conference on Program Comprehension","location":"Virtual Event","acronym":"ICPC '22","sponsor":["SIGSOFT ACM Special Interest Group on Software Engineering","IEEE CS"]},"container-title":["Proceedings of the 30th IEEE\/ACM International Conference on Program Comprehension"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3524610.3527893","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3524610.3527893","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T18:09:52Z","timestamp":1750183792000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3524610.3527893"}},"subtitle":["can we do better?"],"short-title":[],"issued":{"date-parts":[[2022,5,16]]},"references-count":57,"alternative-id":["10.1145\/3524610.3527893","10.1145\/3524610"],"URL":"https:\/\/doi.org\/10.1145\/3524610.3527893","relation":{},"subject":[],"published":{"date-parts":[[2022,5,16]]},"assertion":[{"value":"2022-10-20","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}