{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:15:04Z","timestamp":1750220104712,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":25,"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"}],"funder":[{"name":"Alibaba Innovation Research Program"},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U1911203, 61877018"],"award-info":[{"award-number":["U1911203, 61877018"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,7,6]]},"DOI":"10.1145\/3477495.3531811","type":"proceedings-article","created":{"date-parts":[[2022,7,7]],"date-time":"2022-07-07T15:12:08Z","timestamp":1657206728000},"page":"2093-2098","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Understanding Long Programming Languages with Structure-Aware Sparse Attention"],"prefix":"10.1145","author":[{"given":"Tingting","family":"Liu","sequence":"first","affiliation":[{"name":"East China Normal University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chengyu","family":"Wang","sequence":"additional","affiliation":[{"name":"Alibaba Group, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cen","family":"Chen","sequence":"additional","affiliation":[{"name":"East China Normal University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ming","family":"Gao","sequence":"additional","affiliation":[{"name":"East China Normal University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aoying","family":"Zhou","sequence":"additional","affiliation":[{"name":"East China Normal University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,7,7]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.naacl-main.211"},{"key":"e_1_3_2_2_2_1","volume-title":"Longformer: The LongDocument Transformer. CoRR abs\/2004.05150","author":"Beltagy Iz","year":"2020","unstructured":"Iz Beltagy , Matthew E. Peters , and Arman Cohan . 2020 . Longformer: The LongDocument Transformer. CoRR abs\/2004.05150 (2020). arXiv:2004.05150 https: \/\/arxiv.org\/abs\/2004.05150 Iz Beltagy, Matthew E. Peters, and Arman Cohan. 2020. Longformer: The LongDocument Transformer. CoRR abs\/2004.05150 (2020). arXiv:2004.05150 https: \/\/arxiv.org\/abs\/2004.05150"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.naacl-main.72"},{"key":"e_1_3_2_2_4_1","volume-title":"Generating Long Sequences with Sparse Transformers. CoRR abs\/1904.10509","author":"Child Rewon","year":"2019","unstructured":"Rewon Child , Scott Gray , Alec Radford , and Ilya Sutskever . 2019. Generating Long Sequences with Sparse Transformers. CoRR abs\/1904.10509 ( 2019 ). arXiv:1904.10509 http:\/\/arxiv.org\/abs\/1904.10509 Rewon Child, Scott Gray, Alec Radford, and Ilya Sutskever. 2019. Generating Long Sequences with Sparse Transformers. CoRR abs\/1904.10509 (2019). arXiv:1904.10509 http:\/\/arxiv.org\/abs\/1904.10509"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1285"},{"key":"e_1_3_2_2_6_1","volume-title":"Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2019","volume":"1","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 Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2019 , Minneapolis, MN, USA, June 2--7 , 2019, Volume 1 (Long and Short Papers). Association for Computational Linguistics, 4171--4186. https:\/\/doi.org\/10.18653\/v1\/n19--1423 10.18653\/v1 Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2019, Minneapolis, MN, USA, June 2--7, 2019, Volume 1 (Long and Short Papers). Association for Computational Linguistics, 4171--4186. https:\/\/doi.org\/10.18653\/v1\/n19--1423"},{"key":"e_1_3_2_2_7_1","first-page":"139","volume-title":"CodeBERT: A Pre-Trained Model for Programming and Natural Languages. In Findings of the Association for Computational Linguistics: EMNLP 2020, Online Event, 16--20 November 2020 (Findings of ACL","volume":"1547","author":"Feng Zhangyin","year":"2020","unstructured":"Zhangyin Feng , Daya Guo , Duyu Tang , Nan Duan , Xiaocheng Feng , Ming Gong , Linjun Shou , Bing Qin , Ting Liu , Daxin Jiang , and Ming Zhou . 2020 . CodeBERT: A Pre-Trained Model for Programming and Natural Languages. In Findings of the Association for Computational Linguistics: EMNLP 2020, Online Event, 16--20 November 2020 (Findings of ACL , Vol. EMNLP 2020). Association for Computational Linguistics, 1536-- 1547 . https:\/\/doi.org\/10.18653\/v1\/2020.findings-emnlp. 139 10.18653\/v1 Zhangyin Feng, Daya Guo, Duyu Tang, Nan Duan, Xiaocheng Feng, Ming Gong, Linjun Shou, Bing Qin, Ting Liu, Daxin Jiang, and Ming Zhou. 2020. CodeBERT: A Pre-Trained Model for Programming and Natural Languages. In Findings of the Association for Computational Linguistics: EMNLP 2020, Online Event, 16--20 November 2020 (Findings of ACL, Vol. EMNLP 2020). Association for Computational Linguistics, 1536--1547. https:\/\/doi.org\/10.18653\/v1\/2020.findings-emnlp.139"},{"key":"e_1_3_2_2_8_1","volume-title":"Lun Yiu Nie, and Xin Xia","author":"Gao Shuzheng","year":"2021","unstructured":"Shuzheng Gao , Cuiyun Gao , Yulan He , Jichuan Zeng , Lun Yiu Nie, and Xin Xia . 2021 . Code Structure Guided Transformer for Source Code Summarization. CoRR abs\/2104.09340 (2021). arXiv:2104.09340 https:\/\/arxiv.org\/abs\/2104.09340 Shuzheng Gao, Cuiyun Gao, Yulan He, Jichuan Zeng, Lun Yiu Nie, and Xin Xia. 2021. Code Structure Guided Transformer for Source Code Summarization. CoRR abs\/2104.09340 (2021). arXiv:2104.09340 https:\/\/arxiv.org\/abs\/2104.09340"},{"key":"e_1_3_2_2_9_1","volume-title":"GraphCodeBERT: Pre-training Code Representations with Data Flow. In 9th International Conference on Learning Representations, ICLR 2021","author":"Guo Daya","year":"2021","unstructured":"Daya Guo , Shuo Ren , Shuai Lu , Zhangyin Feng , Duyu Tang , Shujie Liu , Long Zhou , Nan Duan , Alexey Svyatkovskiy , Shengyu Fu , Michele Tufano , Shao Kun Deng , Colin B. Clement , Dawn Drain , Neel Sundaresan , Jian Yin , Daxin Jiang , and Ming Zhou . 2021 . GraphCodeBERT: Pre-training Code Representations with Data Flow. In 9th International Conference on Learning Representations, ICLR 2021 , Virtual Event, Austria, May 3--7 , 2021. OpenReview.net. https:\/\/openreview.net\/ forum?id=jLoC4ez43PZ Daya Guo, Shuo Ren, Shuai Lu, Zhangyin Feng, Duyu Tang, Shujie Liu, Long Zhou, Nan Duan, Alexey Svyatkovskiy, Shengyu Fu, Michele Tufano, Shao Kun Deng, Colin B. Clement, Dawn Drain, Neel Sundaresan, Jian Yin, Daxin Jiang, and Ming Zhou. 2021. GraphCodeBERT: Pre-training Code Representations with Data Flow. In 9th International Conference on Learning Representations, ICLR 2021, Virtual Event, Austria, May 3--7, 2021. OpenReview.net. https:\/\/openreview.net\/ forum?id=jLoC4ez43PZ"},{"key":"e_1_3_2_2_10_1","volume-title":"CodeSearchNet Challenge: Evaluating the State of Semantic Code Search. CoRR abs\/1909.09436","author":"Husain Hamel","year":"2019","unstructured":"Hamel Husain , Ho-Hsiang Wu , Tiferet Gazit , Miltiadis Allamanis , and Marc Brockschmidt . 2019. CodeSearchNet Challenge: Evaluating the State of Semantic Code Search. CoRR abs\/1909.09436 ( 2019 ). arXiv:1909.09436 http:\/\/arxiv.org\/abs\/ 1909.09436 Hamel Husain, Ho-Hsiang Wu, Tiferet Gazit, Miltiadis Allamanis, and Marc Brockschmidt. 2019. CodeSearchNet Challenge: Evaluating the State of Semantic Code Search. CoRR abs\/1909.09436 (2019). arXiv:1909.09436 http:\/\/arxiv.org\/abs\/ 1909.09436"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1195"},{"key":"e_1_3_2_2_12_1","volume-title":"Pretrained Contextual Embedding of Source Code. CoRR abs\/2001.00059","author":"Kanade Aditya","year":"2020","unstructured":"Aditya Kanade , Petros Maniatis , Gogul Balakrishnan , and Kensen Shi . 2020. Pretrained Contextual Embedding of Source Code. CoRR abs\/2001.00059 ( 2020 ). arXiv:2001.00059 http:\/\/arxiv.org\/abs\/2001.00059 Aditya Kanade, Petros Maniatis, Gogul Balakrishnan, and Kensen Shi. 2020. Pretrained Contextual Embedding of Source Code. CoRR abs\/2001.00059 (2020). arXiv:2001.00059 http:\/\/arxiv.org\/abs\/2001.00059"},{"key":"e_1_3_2_2_13_1","volume-title":"SCELMo: Source Code Embeddings from Language Models. CoRR abs\/2004.13214","author":"Karampatsis Rafael-Michael","year":"2020","unstructured":"Rafael-Michael Karampatsis and Charles Sutton . 2020. SCELMo: Source Code Embeddings from Language Models. CoRR abs\/2004.13214 ( 2020 ). arXiv:2004.13214 https:\/\/arxiv.org\/abs\/2004.13214 Rafael-Michael Karampatsis and Charles Sutton. 2020. SCELMo: Source Code Embeddings from Language Models. CoRR abs\/2004.13214 (2020). arXiv:2004.13214 https:\/\/arxiv.org\/abs\/2004.13214"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1445"},{"key":"e_1_3_2_2_15_1","volume-title":"RoBERTa: A Robustly Optimized BERT Pretraining Approach. CoRR 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. CoRR abs\/1907.11692 ( 2019 ). arXiv:1907.11692 http:\/\/arxiv.org\/abs\/1907.11692 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. CoRR abs\/1907.11692 (2019). arXiv:1907.11692 http:\/\/arxiv.org\/abs\/1907.11692"},{"key":"e_1_3_2_2_16_1","volume-title":"Shengyu Fu, and Shujie Liu.","author":"Lu Shuai","year":"2021","unstructured":"Shuai Lu , Daya Guo , Shuo Ren , Junjie Huang , Alexey Svyatkovskiy , Ambrosio Blanco , Colin B. Clement , Dawn Drain , Daxin Jiang , Duyu Tang , Ge Li , Lidong Zhou , Linjun Shou , Long Zhou , Michele Tufano , Ming Gong , Ming Zhou , Nan Duan , Neel Sundaresan , Shao Kun Deng , Shengyu Fu, and Shujie Liu. 2021 . CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation. CoRR abs\/2102.04664 (2021). arXiv:2102.04664 https:\/\/arxiv.org\/ abs\/2102.04664 Shuai Lu, Daya Guo, Shuo Ren, Junjie Huang, Alexey Svyatkovskiy, Ambrosio Blanco, Colin B. Clement, Dawn Drain, Daxin Jiang, Duyu Tang, Ge Li, Lidong Zhou, Linjun Shou, Long Zhou, Michele Tufano, Ming Gong, Ming Zhou, Nan Duan, Neel Sundaresan, Shao Kun Deng, Shengyu Fu, and Shujie Liu. 2021. CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation. CoRR abs\/2102.04664 (2021). arXiv:2102.04664 https:\/\/arxiv.org\/ abs\/2102.04664"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1202"},{"key":"e_1_3_2_2_18_1","first-page":"232","volume-title":"Blockwise Self-Attention for Long Document Understanding. In Findings of the Association for Computational Linguistics: EMNLP 2020, Online Event, 16--20 November 2020 (Findings of ACL","volume":"2565","author":"Qiu Jiezhong","year":"2020","unstructured":"Jiezhong Qiu , Hao Ma , Omer Levy , Wen-tau Yih, Sinong Wang , and Jie Tang . 2020 . Blockwise Self-Attention for Long Document Understanding. In Findings of the Association for Computational Linguistics: EMNLP 2020, Online Event, 16--20 November 2020 (Findings of ACL , Vol. EMNLP 2020), Trevor Cohn, Yulan He, and Yang Liu (Eds.). Association for Computational Linguistics, 2555-- 2565 . https: \/\/doi.org\/10.18653\/v1\/2020.findings-emnlp. 232 10.18653\/v1 Jiezhong Qiu, Hao Ma, Omer Levy, Wen-tau Yih, Sinong Wang, and Jie Tang. 2020. Blockwise Self-Attention for Long Document Understanding. In Findings of the Association for Computational Linguistics: EMNLP 2020, Online Event, 16--20 November 2020 (Findings of ACL, Vol. EMNLP 2020), Trevor Cohn, Yulan He, and Yang Liu (Eds.). Association for Computational Linguistics, 2555--2565. https: \/\/doi.org\/10.18653\/v1\/2020.findings-emnlp.232"},{"key":"e_1_3_2_2_19_1","volume-title":"Proceedings of the 38th International Conference on Software Engineering, ICSE 2016","author":"Sajnani Hitesh","year":"2016","unstructured":"Hitesh Sajnani , Vaibhav Saini , Jeffrey Svajlenko , Chanchal K. Roy , and Cristina V. Lopes . 2016. SourcererCC: scaling code clone detection to big-code . In Proceedings of the 38th International Conference on Software Engineering, ICSE 2016 , Austin, TX, USA, May 14--22 , 2016 , Laura K. Dillon, Willem Visser, and Laurie A. Williams (Eds.). ACM, 1157--1168. https:\/\/doi.org\/10.1145\/2884781.2884877 10.1145\/2884781.2884877 Hitesh Sajnani, Vaibhav Saini, Jeffrey Svajlenko, Chanchal K. Roy, and Cristina V. Lopes. 2016. SourcererCC: scaling code clone detection to big-code. In Proceedings of the 38th International Conference on Software Engineering, ICSE 2016, Austin, TX, USA, May 14--22, 2016, Laura K. Dillon, Willem Visser, and Laurie A. Williams (Eds.). ACM, 1157--1168. https:\/\/doi.org\/10.1145\/2884781.2884877"},{"key":"e_1_3_2_2_20_1","volume-title":"Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani , Noam Shazeer , Niki Parmar , Jakob Uszkoreit , Llion Jones , Aidan N. Gomez , Lukasz Kaiser , and Illia Polosukhin . 2017 . Attention is All you Need . In Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017 , December 4 --9 , 2017, Long Beach, CA, USA. 5998--6008. https:\/\/proceedings.neurips.cc\/paper\/2017\/hash\/ 3f5ee243547dee91fbd053c1c4a845aa-Abstract.html Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017. Attention is All you Need. In Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, December 4--9, 2017, Long Beach, CA, USA. 5998--6008. https:\/\/proceedings.neurips.cc\/paper\/2017\/hash\/ 3f5ee243547dee91fbd053c1c4a845aa-Abstract.html"},{"key":"e_1_3_2_2_21_1","volume-title":"Detecting Code Clones with Graph Neural Network and Flow-Augmented Abstract Syntax Tree. In 27th IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2020","author":"Wang Wenhan","year":"2020","unstructured":"Wenhan Wang , Ge Li , Bo Ma , Xin Xia , and Zhi Jin . 2020 . Detecting Code Clones with Graph Neural Network and Flow-Augmented Abstract Syntax Tree. In 27th IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2020 , London, ON, Canada, February 18--21 , 2020, Kostas Kontogiannis, Foutse Khomh, Alexander Chatzigeorgiou, Marios-Eleftherios Fokaefs, and Minghui Zhou (Eds.). IEEE, 261--271. https:\/\/doi.org\/10.1109\/SANER48275.2020. 9054857 10.1109\/SANER48275.2020 Wenhan Wang, Ge Li, Bo Ma, Xin Xia, and Zhi Jin. 2020. Detecting Code Clones with Graph Neural Network and Flow-Augmented Abstract Syntax Tree. In 27th IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2020, London, ON, Canada, February 18--21, 2020, Kostas Kontogiannis, Foutse Khomh, Alexander Chatzigeorgiou, Marios-Eleftherios Fokaefs, and Minghui Zhou (Eds.). IEEE, 261--271. https:\/\/doi.org\/10.1109\/SANER48275.2020. 9054857"},{"key":"e_1_3_2_2_22_1","volume-title":"Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021, Virtual Event \/ Punta Cana, Dominican Republic, 7--11","author":"Wang Yue","year":"2021","unstructured":"Yue Wang , Weishi Wang , Shafiq R. Joty , and Steven C. H. Hoi . 2021. CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation . In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021, Virtual Event \/ Punta Cana, Dominican Republic, 7--11 November , 2021 , Marie-Francine Moens, Xuanjing Huang, Lucia Specia, and Scott Wen-tau Yih (Eds.). Association for Computational Linguistics, 8696--8708. https:\/\/doi.org\/10. 18653\/v1\/2021.emnlp-main.685 10.18653\/v1 Yue Wang, Weishi Wang, Shafiq R. Joty, and Steven C. H. Hoi. 2021. CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021, Virtual Event \/ Punta Cana, Dominican Republic, 7--11 November, 2021, Marie-Francine Moens, Xuanjing Huang, Lucia Specia, and Scott Wen-tau Yih (Eds.). Association for Computational Linguistics, 8696--8708. https:\/\/doi.org\/10.18653\/v1\/2021.emnlp-main.685"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.findings-acl.93"},{"key":"e_1_3_2_2_24_1","volume-title":"Big Bird: Transformers for Longer Sequences. In Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020","author":"Zaheer Manzil","year":"2020","unstructured":"Manzil Zaheer , Guru Guruganesh , Kumar Avinava Dubey , Joshua Ainslie , Chris Alberti , Santiago Onta\u00f1\u00f3n , Philip Pham , Anirudh Ravula , Qifan Wang , Li Yang , and Amr Ahmed . 2020 . Big Bird: Transformers for Longer Sequences. In Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020 , NeurIPS 2020, December 6--12, 2020, virtual, Hugo Larochelle, Marc'Aurelio Ranzato, Raia Hadsell, Maria-Florina Balcan, and Hsuan-Tien Lin (Eds.). https:\/\/proceedings.neurips.cc\/paper\/2020\/hash\/ c8512d142a2d849725f31a9a7a361ab9-Abstract.html Manzil Zaheer, Guru Guruganesh, Kumar Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Onta\u00f1\u00f3n, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, and Amr Ahmed. 2020. Big Bird: Transformers for Longer Sequences. In Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6--12, 2020, virtual, Hugo Larochelle, Marc'Aurelio Ranzato, Raia Hadsell, Maria-Florina Balcan, and Hsuan-Tien Lin (Eds.). https:\/\/proceedings.neurips.cc\/paper\/2020\/hash\/ c8512d142a2d849725f31a9a7a361ab9-Abstract.html"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICSE.2019.00086"}],"event":{"name":"SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"],"location":"Madrid Spain","acronym":"SIGIR '22"},"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\/3477495.3531811","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3477495.3531811","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T18:10:26Z","timestamp":1750183826000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3477495.3531811"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,6]]},"references-count":25,"alternative-id":["10.1145\/3477495.3531811","10.1145\/3477495"],"URL":"https:\/\/doi.org\/10.1145\/3477495.3531811","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"}}]}}