{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T10:15:27Z","timestamp":1781518527377,"version":"3.54.1"},"publisher-location":"New York, NY, USA","reference-count":47,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,10,26]],"date-time":"2021-10-26T00:00:00Z","timestamp":1635206400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"National Key R\\&D Program of China","award":["2020AAA0105200"],"award-info":[{"award-number":["2020AAA0105200"]}]},{"name":"National Natural Science Foundation of China (NSFC)","award":["No. 61906180, No. 61773362 and No. 91746301"],"award-info":[{"award-number":["No. 61906180, No. 61773362 and No. 91746301"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,10,26]]},"DOI":"10.1145\/3459637.3482450","type":"proceedings-article","created":{"date-parts":[[2021,11,15]],"date-time":"2021-11-15T15:31:14Z","timestamp":1636990274000},"page":"1396-1405","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":18,"title":["Match-Ignition"],"prefix":"10.1145","author":[{"given":"Liang","family":"Pang","sequence":"first","affiliation":[{"name":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanyan","family":"Lan","sequence":"additional","affiliation":[{"name":"Tsinghua University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xueqi","family":"Cheng","sequence":"additional","affiliation":[{"name":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2021,10,30]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"12th USENIX Symposium on Operating Systems Design and Implementation. 265--283","author":"Abadi Mart'in","year":"2016","unstructured":"Mart'in Abadi , Paul Barham , Jianmin Chen , Zhifeng Chen , Andy Davis , Jeffrey Dean , Matthieu Devin , Sanjay Ghemawat , Geoffrey Irving , Michael Isard , 2016 . Tensorflow: A system for large-scale machine learning . In 12th USENIX Symposium on Operating Systems Design and Implementation. 265--283 . Mart'in Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, et al. 2016. Tensorflow: A system for large-scale machine learning. In 12th USENIX Symposium on Operating Systems Design and Implementation. 265--283."},{"key":"e_1_3_2_1_2_1","volume-title":"Longformer: The Long-Document Transformer. arxiv","author":"Beltagy Iz","year":"2020","unstructured":"Iz Beltagy , Matthew E. Peters , and Arman Cohan . 2020 . Longformer: The Long-Document Transformer. arxiv : 2004.05150 [cs.CL] Iz Beltagy, Matthew E. Peters, and Arman Cohan. 2020. Longformer: The Long-Document Transformer. arxiv: 2004.05150 [cs.CL]"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1022"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.5555\/944919.944937"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0169-7552(98)00110-X"},{"key":"e_1_3_2_1_6_1","volume-title":"On Identifiability in Transformers. In International Conference on Learning Representations.","author":"Brunner Gino","year":"2019","unstructured":"Gino Brunner , Yang Liu , Damian Pascual , Oliver Richter , Massimiliano Ciaramita , and Roger Wattenhofer . 2019 . On Identifiability in Transformers. In International Conference on Learning Representations. Gino Brunner, Yang Liu, Damian Pascual, Oliver Richter, Massimiliano Ciaramita, and Roger Wattenhofer. 2019. On Identifiability in Transformers. In International Conference on Learning Representations."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"crossref","unstructured":"Sumit Chopra Raia Hadsell Yann LeCun etal 2005. Learning a similarity metric discriminatively with application to face verification. In CVPR (1) (Boston Massachusetts). 539--546. Sumit Chopra Raia Hadsell Yann LeCun et al. 2005. Learning a similarity metric discriminatively with application to face verification. In CVPR (1) (Boston Massachusetts). 539--546.","DOI":"10.1109\/CVPR.2005.202"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1285"},{"key":"e_1_3_2_1_9_1","volume-title":"Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805","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 understanding. arXiv preprint arXiv:1810.04805 (2018). Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)."},{"key":"e_1_3_2_1_10_1","volume-title":"Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics. 4171--4186","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. 4171--4186 . 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. 4171--4186."},{"key":"e_1_3_2_1_11_1","volume-title":"Modeling Diverse Relevance Patterns in Ad-Hoc Retrieval. In The 41st International ACM SIGIR Conference on Research Development in Information Retrieval","author":"Fan Yixing","year":"2018","unstructured":"Yixing Fan , Jiafeng Guo , Yanyan Lan , Jun Xu , Chengxiang Zhai , and Xueqi Cheng . 2018 . Modeling Diverse Relevance Patterns in Ad-Hoc Retrieval. In The 41st International ACM SIGIR Conference on Research Development in Information Retrieval ( Ann Arbor, MI, USA) (SIGIR '18). Association for Computing Machinery, New York, NY, USA, 375--384. Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, Chengxiang Zhai, and Xueqi Cheng. 2018. Modeling Diverse Relevance Patterns in Ad-Hoc Retrieval. In The 41st International ACM SIGIR Conference on Research Development in Information Retrieval (Ann Arbor, MI, USA) (SIGIR '18). Association for Computing Machinery, New York, NY, USA, 375--384."},{"key":"e_1_3_2_1_12_1","volume-title":"Matchzoo: A toolkit for deep text matching. arXiv preprint arXiv:1707.07270","author":"Fan Yixing","year":"2017","unstructured":"Yixing Fan , Liang Pang , JianPeng Hou , Jiafeng Guo , Yanyan Lan , and Xueqi Cheng . 2017 . Matchzoo: A toolkit for deep text matching. arXiv preprint arXiv:1707.07270 (2017). Yixing Fan, Liang Pang, JianPeng Hou, Jiafeng Guo, Yanyan Lan, and Xueqi Cheng. 2017. Matchzoo: A toolkit for deep text matching. arXiv preprint arXiv:1707.07270 (2017)."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/2983323.2983769"},{"key":"e_1_3_2_1_14_1","volume-title":"A deep look into neural ranking models for information retrieval. Information Processing & Management","author":"Guo Jiafeng","year":"2019","unstructured":"Jiafeng Guo , Yixing Fan , Liang Pang , Liu Yang , Qingyao Ai , Hamed Zamani , Chen Wu , W Bruce Croft , and Xueqi Cheng . 2019a. A deep look into neural ranking models for information retrieval. Information Processing & Management ( 2019 ), 102067. Jiafeng Guo, Yixing Fan, Liang Pang, Liu Yang, Qingyao Ai, Hamed Zamani, Chen Wu, W Bruce Croft, and Xueqi Cheng. 2019a. A deep look into neural ranking models for information retrieval. Information Processing & Management (2019), 102067."},{"key":"e_1_3_2_1_15_1","volume-title":"Star-Transformer. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies","volume":"1","author":"Guo Qipeng","year":"2019","unstructured":"Qipeng Guo , Xipeng Qiu , Pengfei Liu , Yunfan Shao , Xiangyang Xue , and Zheng Zhang . 2019 b. Star-Transformer. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies , Volume 1 (Long and Short Papers). 1315--1325. Qipeng Guo, Xipeng Qiu, Pengfei Liu, Yunfan Shao, Xiangyang Xue, and Zheng Zhang. 2019b. Star-Transformer. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). 1315--1325."},{"key":"e_1_3_2_1_16_1","unstructured":"Baotian Hu Zhengdong Lu Hang Li and Qingcai Chen. 2014. Convolutional neural network architectures for matching natural language sentences. In Advances in neural information processing systems. 2042--2050. Baotian Hu Zhengdong Lu Hang Li and Qingcai Chen. 2014. Convolutional neural network architectures for matching natural language sentences. In Advances in neural information processing systems. 2042--2050."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/2505515.2505665"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1110"},{"key":"e_1_3_2_1_19_1","volume-title":"Semantic Text Matching for Long-Form Documents. In The World Wide Web Conference","author":"Jiang Jyun-Yu","year":"2019","unstructured":"Jyun-Yu Jiang , Mingyang Zhang , Cheng Li , Michael Bendersky , Nadav Golbandi , and Marc Najork . 2019 . Semantic Text Matching for Long-Form Documents. In The World Wide Web Conference ( San Francisco, CA, USA) (WWW '19). Association for Computing Machinery, New York, NY, USA, 795--806. Jyun-Yu Jiang, Mingyang Zhang, Cheng Li, Michael Bendersky, Nadav Golbandi, and Marc Najork. 2019. Semantic Text Matching for Long-Form Documents. In The World Wide Web Conference (San Francisco, CA, USA) (WWW '19). Association for Computing Machinery, New York, NY, USA, 795--806."},{"key":"e_1_3_2_1_20_1","volume-title":"Beyond greedy ranking: Slate optimization via List-CVAE. arXiv preprint arXiv:1803.01682","author":"Jiang Ray","year":"2018","unstructured":"Ray Jiang , Sven Gowal , Timothy A Mann , and Danilo J Rezende . 2018. Beyond greedy ranking: Slate optimization via List-CVAE. arXiv preprint arXiv:1803.01682 ( 2018 ). Ray Jiang, Sven Gowal, Timothy A Mann, and Danilo J Rezende. 2018. Beyond greedy ranking: Slate optimization via List-CVAE. arXiv preprint arXiv:1803.01682 (2018)."},{"key":"e_1_3_2_1_21_1","volume-title":"Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980","author":"Kingma Diederik P","year":"2014","unstructured":"Diederik P Kingma and Jimmy Ba . 2014 . Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014). Diederik P Kingma and Jimmy Ba. 2014. Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1632"},{"key":"e_1_3_2_1_23_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 b. Roberta: A robustly optimized bert pretraining approach. arXiv preprint arXiv:1907.11692 (2019). Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019b. Roberta: A robustly optimized bert pretraining approach. arXiv preprint arXiv:1907.11692 (2019)."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.447"},{"key":"e_1_3_2_1_25_1","unstructured":"Zhengdong Lu and Hang Li. 2013. A deep architecture for matching short texts. In Advances in Neural Information Processing Systems. 1367--1375. Zhengdong Lu and Hang Li. 2013. A deep architecture for matching short texts. In Advances in Neural Information Processing Systems. 1367--1375."},{"key":"e_1_3_2_1_26_1","volume-title":"Proceedings of the 2004 conference on empirical methods in natural language processing. 404--411","author":"Mihalcea Rada","year":"2004","unstructured":"Rada Mihalcea and Paul Tarau . 2004 . Textrank: Bringing order into text . In Proceedings of the 2004 conference on empirical methods in natural language processing. 404--411 . Rada Mihalcea and Paul Tarau. 2004. Textrank: Bringing order into text. In Proceedings of the 2004 conference on empirical methods in natural language processing. 404--411."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052579"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2016.2520371"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.5555\/3016100.3016292"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3132914"},{"key":"e_1_3_2_1_31_1","unstructured":"Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury Gregory Chanan Trevor Killeen Zeming Lin Natalia Gimelshein Luca Antiga etal 2019. PyTorch: An imperative style high-performance deep learning library. In Advances in Neural Information Processing Systems. 8024--8035. Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury Gregory Chanan Trevor Killeen Zeming Lin Natalia Gimelshein Luca Antiga et al. 2019. PyTorch: An imperative style high-performance deep learning library. In Advances in Neural Information Processing Systems. 8024--8035."},{"key":"e_1_3_2_1_32_1","volume-title":"CLEF Conference on Multilingual and Multimodal Information Access Evaluation. CELCT, 301--331","author":"Potthast Martin","year":"2013","unstructured":"Martin Potthast , Matthias Hagen , Tim Gollub , Martin Tippmann , Johannes Kiesel , Paolo Rosso , Efstathios Stamatatos , and Benno Stein . 2013 . Overview of the 5th international competition on plagiarism detection . In CLEF Conference on Multilingual and Multimodal Information Access Evaluation. CELCT, 301--331 . Martin Potthast, Matthias Hagen, Tim Gollub, Martin Tippmann, Johannes Kiesel, Paolo Rosso, Efstathios Stamatatos, and Benno Stein. 2013. Overview of the 5th international competition on plagiarism detection. In CLEF Conference on Multilingual and Multimodal Information Access Evaluation. CELCT, 301--331."},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10579-012-9211-2"},{"key":"e_1_3_2_1_34_1","unstructured":"Alec Radford Jeffrey Wu Rewon Child David Luan Dario Amodei and Ilya Sutskever. [n.d.]. Language models are unsupervised multitask learners. ( [n. d.]). Alec Radford Jeffrey Wu Rewon Child David Luan Dario Amodei and Ilya Sutskever. [n.d.]. Language models are unsupervised multitask learners. ( [n. d.])."},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1561\/1500000019"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2008.2005605"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/2661829.2661935"},{"key":"e_1_3_2_1_38_1","volume-title":"Long Range Arena: A Benchmark for Efficient Transformers. arxiv","author":"Tay Yi","year":"2011","unstructured":"Yi Tay , Mostafa Dehghani , Samira Abnar , Yikang Shen , Dara Bahri , Philip Pham , Jinfeng Rao , Liu Yang , Sebastian Ruder , and Donald Metzler . 2020. Long Range Arena: A Benchmark for Efficient Transformers. arxiv : 2011 .04006 [cs.LG] Yi Tay, Mostafa Dehghani, Samira Abnar, Yikang Shen, Dara Bahri, Philip Pham, Jinfeng Rao, Liu Yang, Sebastian Ruder, and Donald Metzler. 2020. Long Range Arena: A Benchmark for Efficient Transformers. arxiv: 2011.04006 [cs.LG]"},{"key":"e_1_3_2_1_39_1","unstructured":"Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N Gomez \u0141ukasz Kaiser and Illia Polosukhin. 2017. Attention is all you need. In NIPS. 5998--6008. Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N Gomez \u0141ukasz Kaiser and Illia Polosukhin. 2017. Attention is all you need. In NIPS. 5998--6008."},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.5555\/3016100.3016298"},{"key":"e_1_3_2_1_41_1","volume-title":"Match-srnn: Modeling the recursive matching structure with spatial rnn. arXiv preprint arXiv:1604.04378","author":"Wan Shengxian","year":"2016","unstructured":"Shengxian Wan , Yanyan Lan , Jun Xu , Jiafeng Guo , Liang Pang , and Xueqi Cheng . 2016 b. Match-srnn: Modeling the recursive matching structure with spatial rnn. arXiv preprint arXiv:1604.04378 (2016). Shengxian Wan, Yanyan Lan, Jun Xu, Jiafeng Guo, Liang Pang, and Xueqi Cheng. 2016b. Match-srnn: Modeling the recursive matching structure with spatial rnn. arXiv preprint arXiv:1604.04378 (2016)."},{"key":"e_1_3_2_1_42_1","volume-title":"Bilateral multi-perspective matching for natural language sentences. arXiv preprint arXiv:1702.03814","author":"Wang Zhiguo","year":"2017","unstructured":"Zhiguo Wang , Wael Hamza , and Radu Florian . 2017. Bilateral multi-perspective matching for natural language sentences. arXiv preprint arXiv:1702.03814 ( 2017 ). Zhiguo Wang, Wael Hamza, and Radu Florian. 2017. Bilateral multi-perspective matching for natural language sentences. arXiv preprint arXiv:1702.03814 (2017)."},{"key":"e_1_3_2_1_43_1","volume-title":"Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Document Matching. arxiv","author":"Yang Liu","year":"2004","unstructured":"Liu Yang , Mingyang Zhang , Cheng Li , Michael Bendersky , and Marc Najork . 2020. Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Document Matching. arxiv : 2004 .12297 [cs.IR] Liu Yang, Mingyang Zhang, Cheng Li, Michael Bendersky, and Marc Najork. 2020. Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Document Matching. arxiv: 2004.12297 [cs.IR]"},{"key":"e_1_3_2_1_44_1","volume-title":"Simple and Effective Text Matching with Richer Alignment Features. arXiv preprint arXiv:1908.00300","author":"Yang Runqi","year":"2019","unstructured":"Runqi Yang , Jianhai Zhang , Xing Gao , Feng Ji , and Haiqing Chen . 2019. Simple and Effective Text Matching with Richer Alignment Features. arXiv preprint arXiv:1908.00300 ( 2019 ). Runqi Yang, Jianhai Zhang, Xing Gao, Feng Ji, and Haiqing Chen. 2019. Simple and Effective Text Matching with Richer Alignment Features. arXiv preprint arXiv:1908.00300 (2019)."},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-1174"},{"key":"e_1_3_2_1_46_1","volume-title":"Sparse Transformer: Concentrated Attention Through Explicit Selection.","author":"Zhao Guangxiang","year":"2019","unstructured":"Guangxiang Zhao , Junyang Lin , Zhiyuan Zhang , Xuancheng Ren , and Xu Sun . 2019 . Sparse Transformer: Concentrated Attention Through Explicit Selection. (2019). Guangxiang Zhao, Junyang Lin, Zhiyuan Zhang, Xuancheng Ren, and Xu Sun. 2019. Sparse Transformer: Concentrated Attention Through Explicit Selection. (2019)."},{"key":"e_1_3_2_1_47_1","volume-title":"Proceedings of the 2020conference on Empirical Methods in Natural Language Processing (EMNLP). Association for Computational Linguistics, Online, 5012--5025","author":"Zhou Xuhui","unstructured":"Xuhui Zhou , Nikolaos Pappas , and Noah A. Smith . 2020. Multilevel Text Alignment with Cross-Document Attention . In Proceedings of the 2020conference on Empirical Methods in Natural Language Processing (EMNLP). Association for Computational Linguistics, Online, 5012--5025 . Xuhui Zhou, Nikolaos Pappas, and Noah A. Smith. 2020. Multilevel Text Alignment with Cross-Document Attention. In Proceedings of the 2020conference on Empirical Methods in Natural Language Processing (EMNLP). Association for Computational Linguistics, Online, 5012--5025."}],"event":{"name":"CIKM '21: The 30th ACM International Conference on Information and Knowledge Management","location":"Virtual Event Queensland Australia","acronym":"CIKM '21","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 30th ACM International Conference on Information & Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3459637.3482450","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3459637.3482450","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:48:49Z","timestamp":1750193329000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3459637.3482450"}},"subtitle":["Plugging PageRank into Transformer for Long-form Text Matching"],"short-title":[],"issued":{"date-parts":[[2021,10,26]]},"references-count":47,"alternative-id":["10.1145\/3459637.3482450","10.1145\/3459637"],"URL":"https:\/\/doi.org\/10.1145\/3459637.3482450","relation":{},"subject":[],"published":{"date-parts":[[2021,10,26]]},"assertion":[{"value":"2021-10-30","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}