{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T17:54:36Z","timestamp":1784138076827,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":40,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,7,25]],"date-time":"2020-07-25T00:00:00Z","timestamp":1595635200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"National Natural Science Foundation of China","award":["No. 61702526"],"award-info":[{"award-number":["No. 61702526"]}]},{"name":"Defense Industrial Technology Development Program","award":["No. JCKY2017204B064"],"award-info":[{"award-number":["No. JCKY2017204B064"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,7,25]]},"DOI":"10.1145\/3397271.3401173","type":"proceedings-article","created":{"date-parts":[[2020,7,25]],"date-time":"2020-07-25T07:50:08Z","timestamp":1595663408000},"page":"249-258","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":18,"title":["Incorporating Scenario Knowledge into A Unified Fine-tuning Architecture for Event Representation"],"prefix":"10.1145","author":[{"given":"Jianming","family":"Zheng","sequence":"first","affiliation":[{"name":"National University of Defense Technology, Changsha, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fei","family":"Cai","sequence":"additional","affiliation":[{"name":"National University of Defense Technology, Changsha, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Honghui","family":"Chen","sequence":"additional","affiliation":[{"name":"National University of Defense Technology, Changsha, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2020,7,25]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"Jason Weston, and Oksana Yakhnenko.","author":"Bordes Antoine","year":"2013","unstructured":"Antoine Bordes , Nicolas Usunier , Alberto Garc'i a-Dur\u00e1 n , Jason Weston, and Oksana Yakhnenko. 2013 . Translating Embeddings for Modeling Multi-relational Data. In NIPS. MIT Press , 2787--2795. Antoine Bordes, Nicolas Usunier, Alberto Garc'i a-Dur\u00e1 n, Jason Weston, and Oksana Yakhnenko. 2013. Translating Embeddings for Modeling Multi-relational Data. In NIPS. MIT Press, 2787--2795."},{"key":"e_1_3_2_2_2_1","unstructured":"Nathanael Chambers and Daniel Jurafsky. 2008. Unsupervised Learning of Narrative Event Chains. In ACL. ACL 789--797. Nathanael Chambers and Daniel Jurafsky. 2008. Unsupervised Learning of Narrative Event Chains. In ACL. ACL 789--797."},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"crossref","unstructured":"Nathanael Chambers and Dan Jurafsky. 2009. Unsupervised Learning of Narrative Schemas and their Participants. In ACL. ACL 602--610. Nathanael Chambers and Dan Jurafsky. 2009. Unsupervised Learning of Narrative Schemas and their Participants. In ACL. ACL 602--610.","DOI":"10.3115\/1690219.1690231"},{"key":"e_1_3_2_2_4_1","volume-title":"Le","author":"Dai Andrew M.","year":"2015","unstructured":"Andrew M. Dai and Quoc V . Le . 2015 . Semi-supervised Sequence Learning. In NIPS. MIT Press , 3079--3087. Andrew M. Dai and Quoc V. Le. 2015. Semi-supervised Sequence Learning. In NIPS. MIT Press, 3079--3087."},{"key":"e_1_3_2_2_5_1","volume-title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In NAACL-HLT. ACL, 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 NAACL-HLT. ACL, 4171--4186. Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In NAACL-HLT. ACL, 4171--4186."},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"crossref","unstructured":"Xiao Ding Kuo Liao Ting Liu Zhongyang Li and Junwen Duan. 2019. Event Representation Learning Enhanced with External Commonsense Knowledge. In EMNLP-IJCNLP. ACL 4893--4902. Xiao Ding Kuo Liao Ting Liu Zhongyang Li and Junwen Duan. 2019. Event Representation Learning Enhanced with External Commonsense Knowledge. In EMNLP-IJCNLP. ACL 4893--4902.","DOI":"10.18653\/v1\/D19-1495"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"crossref","unstructured":"Bjarke Felbo Alan Mislove Anders S\u00f8gaard Iyad Rahwan and Sune Lehmann. 2017. Using millions of emoji occurrences to learn any-domain representations for detecting sentiment emotion and sarcasm. In EMNLP. ACL 1615--1625. Bjarke Felbo Alan Mislove Anders S\u00f8gaard Iyad Rahwan and Sune Lehmann. 2017. Using millions of emoji occurrences to learn any-domain representations for detecting sentiment emotion and sarcasm. In EMNLP. ACL 1615--1625.","DOI":"10.18653\/v1\/D17-1169"},{"key":"e_1_3_2_2_8_1","volume-title":"AISTATS (JMLR Proceedings)","volume":"9","author":"Glorot Xavier","year":"2010","unstructured":"Xavier Glorot and Yoshua Bengio . 2010 . Understanding the difficulty of training deep feedforward neural networks . In AISTATS (JMLR Proceedings) , Vol. 9 . JMLR.org, 249--256. Xavier Glorot and Yoshua Bengio. 2010. Understanding the difficulty of training deep feedforward neural networks. In AISTATS (JMLR Proceedings), Vol. 9. JMLR.org, 249--256."},{"key":"e_1_3_2_2_9_1","volume-title":"Linguistic Data Consortium","volume":"34","author":"Graff David","year":"2003","unstructured":"David Graff , Kong Junbo , and Chenand Kazuaki Maeda Ke . 2003 . English Gigaword . Linguistic Data Consortium , Philadelphia , Vol. 4(2) (2003), 34 . David Graff, Kong Junbo, and Chenand Kazuaki Maeda Ke. 2003. English Gigaword. Linguistic Data Consortium, Philadelphia, Vol. 4(2) (2003), 34."},{"key":"e_1_3_2_2_10_1","volume-title":"What Happens Next? Event Prediction Using a Compositional Neural Network Model","author":"Granroth-Wilding Mark","unstructured":"Mark Granroth-Wilding and Stephen Clark . 2016. What Happens Next? Event Prediction Using a Compositional Neural Network Model . In AAAI. AAAI Press , 2727--2733. Mark Granroth-Wilding and Stephen Clark. 2016. What Happens Next? Event Prediction Using a Compositional Neural Network Model. In AAAI. AAAI Press, 2727--2733."},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"crossref","unstructured":"Jeremy Howard and Sebastian Ruder. 2018. Universal Language Model Fine-tuning for Text Classification. In ACL. ACL 328--339. Jeremy Howard and Sebastian Ruder. 2018. Universal Language Model Fine-tuning for Text Classification. In ACL. ACL 328--339.","DOI":"10.18653\/v1\/P18-1031"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32236-6_36"},{"key":"e_1_3_2_2_13_1","volume-title":"QPL (EPTCS )","author":"Kartsaklis Dimitri","unstructured":"Dimitri Kartsaklis and Mehrnoosh Sadrzadeh . 2014. A Study of Entanglement in a Categorical Framework of Natural Language . In QPL (EPTCS ) , Vol. 172 . 249--261. Dimitri Kartsaklis and Mehrnoosh Sadrzadeh. 2014. A Study of Entanglement in a Categorical Framework of Natural Language. In QPL (EPTCS ), Vol. 172. 249--261."},{"key":"e_1_3_2_2_14_1","volume-title":"Kingma and Jimmy Ba","author":"Diederik","year":"2015","unstructured":"Diederik P. Kingma and Jimmy Ba . 2015 . Adam : A Method for Stochastic Optimization. In ICLR. OpenReview .net. Diederik P. Kingma and Jimmy Ba. 2015. Adam: A Method for Stochastic Optimization. In ICLR. OpenReview.net."},{"key":"e_1_3_2_2_15_1","volume-title":"ALBERT: A Lite BERT for Self-supervised Learning of Language Representations. CoRR","author":"Lan Zhenzhong","year":"2019","unstructured":"Zhenzhong Lan , Mingda Chen , Sebastian Goodman , Kevin Gimpel , Piyush Sharma , and Radu Soricut . 2019 . ALBERT: A Lite BERT for Self-supervised Learning of Language Representations. CoRR , Vol. abs\/ 1909 .11942 (2019). arxiv: 1909.11942 Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, and Radu Soricut. 2019. ALBERT: A Lite BERT for Self-supervised Learning of Language Representations. CoRR, Vol. abs\/1909.11942 (2019). arxiv: 1909.11942"},{"key":"e_1_3_2_2_16_1","volume-title":"FEEL: Featured Event Embedding Learning","author":"Lee Ta","year":"2018","unstructured":"I- Ta Lee and Dan Goldwasser . 2018 . FEEL: Featured Event Embedding Learning . In AAAI. AAAI Press , 4840--4847. I-Ta Lee and Dan Goldwasser. 2018. FEEL: Featured Event Embedding Learning. In AAAI. AAAI Press, 4840--4847."},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"crossref","unstructured":"I-Ta Lee and Dan Goldwasser. 2019. Multi-Relational Script Learning for Discourse Relations. In ACL. ACL 4214--4226. I-Ta Lee and Dan Goldwasser. 2019. Multi-Relational Script Learning for Discourse Relations. In ACL. ACL 4214--4226.","DOI":"10.18653\/v1\/P19-1413"},{"key":"e_1_3_2_2_18_1","volume-title":"ISWC","volume":"2456","author":"Li Feng-Lin","year":"2019","unstructured":"Feng-Lin Li , Kehan Chen , Yan Wan , Weijia Chen , Qi Huang , and Yikun Guo . 2019 . Using Event Graph to Improve Question Answering in E-commerce Customer Service . In ISWC , Vol. 2456 . CEUR-WS.org, 327--328. Feng-Lin Li, Kehan Chen, Yan Wan, Weijia Chen, Qi Huang, and Yikun Guo. 2019. Using Event Graph to Improve Question Answering in E-commerce Customer Service. In ISWC, Vol. 2456. CEUR-WS.org, 327--328."},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"crossref","unstructured":"Zhongyang Li Xiao Ding and Ting Liu. 2018. Constructing Narrative Event Evolutionary Graph for Script Event Prediction. In IJCAI. ijcai.org 4201--4207. Zhongyang Li Xiao Ding and Ting Liu. 2018. Constructing Narrative Event Evolutionary Graph for Script Event Prediction. In IJCAI. ijcai.org 4201--4207.","DOI":"10.24963\/ijcai.2018\/584"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"crossref","unstructured":"Xiao Liu Heyan Huang and Yue Zhang. 2019. Open Domain Event Extraction Using Neural Latent Variable Models. In ACL. ACL 2860--2871. Xiao Liu Heyan Huang and Yue Zhang. 2019. Open Domain Event Extraction Using Neural Latent Variable Models. In ACL. ACL 2860--2871.","DOI":"10.18653\/v1\/P19-1276"},{"key":"e_1_3_2_2_21_1","volume-title":"SAM-Net: Integrating Event-Level and Chain-Level Attentions to Predict What Happens Next","author":"Lv Shangwen","unstructured":"Shangwen Lv , Wanhui Qian , Longtao Huang , Jizhong Han , and Songlin Hu. 2019. SAM-Net: Integrating Event-Level and Chain-Level Attentions to Predict What Happens Next . In AAAI. AAAI Press , 6802--6809. Shangwen Lv, Wanhui Qian, Longtao Huang, Jizhong Han, and Songlin Hu. 2019. SAM-Net: Integrating Event-Level and Chain-Level Attentions to Predict What Happens Next. In AAAI. AAAI Press, 6802--6809."},{"key":"e_1_3_2_2_22_1","volume-title":"Steven Bethard, and David McClosky.","author":"Manning Christopher D.","year":"2014","unstructured":"Christopher D. Manning , Mihai Surdeanu , John Bauer , Jenny Rose Finkel , Steven Bethard, and David McClosky. 2014 . The Stanford CoreNLP Natural Language Processing Toolkit. In ACL. ACL , 55--60. Christopher D. Manning, Mihai Surdeanu, John Bauer, Jenny Rose Finkel, Steven Bethard, and David McClosky. 2014. The Stanford CoreNLP Natural Language Processing Toolkit. In ACL. ACL, 55--60."},{"key":"e_1_3_2_2_23_1","volume-title":"Learned in Translation: Contextualized Word Vectors","author":"McCann Bryan","unstructured":"Bryan McCann , James Bradbury , Caiming Xiong , and Richard Socher . 2017. Learned in Translation: Contextualized Word Vectors . In NIPS. MIT Press , 6297--6308. Bryan McCann, James Bradbury, Caiming Xiong, and Richard Socher. 2017. Learned in Translation: Contextualized Word Vectors. In NIPS. MIT Press, 6297--6308."},{"key":"e_1_3_2_2_24_1","unstructured":"Tomas Mikolov Kai Chen Greg Corrado and Jeffrey Dean. 2013. Efficient Estimation of Word Representations in Vector Space. In ICLR. OpenReview.net. Tomas Mikolov Kai Chen Greg Corrado and Jeffrey Dean. 2013. Efficient Estimation of Word Representations in Vector Space. In ICLR. OpenReview.net."},{"key":"e_1_3_2_2_25_1","volume-title":"Manning","author":"Pennington Jeffrey","year":"2014","unstructured":"Jeffrey Pennington , Richard Socher , and Christopher D . Manning . 2014 . Glove : Global Vectors for Word Representation. In EMNLP. ACL , 1532--1543. Jeffrey Pennington, Richard Socher, and Christopher D. Manning. 2014. Glove: Global Vectors for Word Representation. In EMNLP. ACL, 1532--1543."},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"crossref","unstructured":"Matthew E. Peters Mark Neumann Mohit Iyyer Matt Gardner Christopher Clark Kenton Lee and Luke Zettlemoyer. 2018. Deep Contextualized Word Representations. In NAACL-HLT. ACL 2227--2237. Matthew E. Peters Mark Neumann Mohit Iyyer Matt Gardner Christopher Clark Kenton Lee and Luke Zettlemoyer. 2018. Deep Contextualized Word Representations. In NAACL-HLT. ACL 2227--2237.","DOI":"10.18653\/v1\/N18-1202"},{"key":"e_1_3_2_2_27_1","volume-title":"Mooney","author":"Pichotta Karl","year":"2014","unstructured":"Karl Pichotta and Raymond J . Mooney . 2014 . Statistical Script Learning with Multi-Argument Events. In EACL. ACL , 220--229. Karl Pichotta and Raymond J. Mooney. 2014. Statistical Script Learning with Multi-Argument Events. In EACL. ACL, 220--229."},{"key":"e_1_3_2_2_28_1","volume-title":"Webber","author":"Prasad Rashmi","year":"2008","unstructured":"Rashmi Prasad , Nikhil Dinesh , Alan Lee , Eleni Miltsakaki , Livio Robaldo , Aravind K. Joshi , and Bonnie L . Webber . 2008 . The Penn Discourse TreeBank 2.0. In LREC. European Language Resources Association . Rashmi Prasad, Nikhil Dinesh, Alan Lee, Eleni Miltsakaki, Livio Robaldo, Aravind K. Joshi, and Bonnie L. Webber. 2008. The Penn Discourse TreeBank 2.0. In LREC. European Language Resources Association."},{"key":"e_1_3_2_2_29_1","volume-title":"plans, goals, and understanding: An inquiry into human knowledge structures","author":"Roger Schank","year":"1977","unstructured":"Schank Roger , C and Abelson Robert , P. 1977. Scripts , plans, goals, and understanding: An inquiry into human knowledge structures . Lawrence Erlbaum Associates ( 1977 ). Schank Roger, C and Abelson Robert, P. 1977. Scripts, plans, goals, and understanding: An inquiry into human knowledge structures. Lawrence Erlbaum Associates (1977)."},{"key":"e_1_3_2_2_30_1","volume-title":"Emily Allaway, Chandra Bhagavatula, Nicholas Lourie, Hannah Rashkin, Brendan Roof, Noah A. Smith, and Yejin Choi.","author":"Sap Maarten","year":"2019","unstructured":"Maarten Sap , Ronan Le Bras , Emily Allaway, Chandra Bhagavatula, Nicholas Lourie, Hannah Rashkin, Brendan Roof, Noah A. Smith, and Yejin Choi. 2019 . ATOMIC : An Atlas of Machine Commonsense for If-Then Reasoning. In AAAI. AAAI Press , 3027--3035. Maarten Sap, Ronan Le Bras, Emily Allaway, Chandra Bhagavatula, Nicholas Lourie, Hannah Rashkin, Brendan Roof, Noah A. Smith, and Yejin Choi. 2019. ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning. In AAAI. AAAI Press, 3027--3035."},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmatprotec.2012.03.025"},{"key":"e_1_3_2_2_32_1","volume-title":"A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues","author":"Serban Iulian Vlad","unstructured":"Iulian Vlad Serban , Alessandro Sordoni , Ryan Lowe , Laurent Charlin , Joelle Pineau , Aaron C. Courville , and Yoshua Bengio . 2017. A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues . In AAAI. AAAI Press , 3295--3301. Iulian Vlad Serban, Alessandro Sordoni, Ryan Lowe, Laurent Charlin, Joelle Pineau, Aaron C. Courville, and Yoshua Bengio. 2017. A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues. In AAAI. AAAI Press, 3295--3301."},{"key":"e_1_3_2_2_33_1","unstructured":"Richard Socher Alex Perelygin Jean Wu Jason Chuang Christopher D. Manning Andrew Y. Ng and Christopher Potts. 2013. Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank. In ACL. ACL 1631--1642. Richard Socher Alex Perelygin Jean Wu Jason Chuang Christopher D. Manning Andrew Y. Ng and Christopher Potts. 2013. Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank. In ACL. ACL 1631--1642."},{"key":"e_1_3_2_2_34_1","volume-title":"Attention is All you Need","author":"Vaswani Ashish","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 NIPS. MIT Press , 5998--6008. 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 NIPS. MIT Press, 5998--6008."},{"key":"e_1_3_2_2_35_1","volume-title":"Bowman","author":"Wang Alex","year":"2018","unstructured":"Alex Wang , Amanpreet Singh , Julian Michael , Felix Hill , Omer Levy , and Samuel R . Bowman . 2018 . GLUE : A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding. In EMNLP. ACL , 353--355. Alex Wang, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, and Samuel R. Bowman. 2018. GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding. In EMNLP. ACL, 353--355."},{"key":"e_1_3_2_2_36_1","unstructured":"Zhongqing Wang Yue Zhang and Ching-Yun Chang. 2017. Integrating Order Information and Event Relation for Script Event Prediction. In EMNLP. ACL 57--67. Zhongqing Wang Yue Zhang and Ching-Yun Chang. 2017. Integrating Order Information and Event Relation for Script Event Prediction. In EMNLP. ACL 57--67."},{"key":"e_1_3_2_2_37_1","volume-title":"Event Representations With Tensor-Based Compositions","author":"Weber Noah","unstructured":"Noah Weber , Niranjan Balasubramanian , and Nathanael Chambers . 2018. Event Representations With Tensor-Based Compositions . In AAAI. AAAI Press , 4946--4953. Noah Weber, Niranjan Balasubramanian, and Nathanael Chambers. 2018. Event Representations With Tensor-Based Compositions. In AAAI. AAAI Press, 4946--4953."},{"key":"e_1_3_2_2_38_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. CoRR , Vol. abs\/ 1906 .08237 (2019). arxiv: 1906.08237 Zhilin Yang, Zihang Dai, Yiming Yang, Jaime G. Carbonell, Ruslan Salakhutdinov, and Quoc V. Le. 2019. XLNet: Generalized Autoregressive Pretraining for Language Understanding. CoRR, Vol. abs\/1906.08237 (2019). arxiv: 1906.08237"},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12559-018-9621-6"},{"key":"e_1_3_2_2_40_1","volume-title":"Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books","author":"Zhu Yukun","unstructured":"Yukun Zhu , Ryan Kiros , Richard S. Zemel , Ruslan Salakhutdinov , Raquel Urtasun , Antonio Torralba , and Sanja Fidler . 2015. Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books . In ICCV. IEEE Computer Society , 19--27. Yukun Zhu, Ryan Kiros, Richard S. Zemel, Ruslan Salakhutdinov, Raquel Urtasun, Antonio Torralba, and Sanja Fidler. 2015. Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books. In ICCV. IEEE Computer Society, 19--27."}],"event":{"name":"SIGIR '20: The 43rd International ACM SIGIR conference on research and development in Information Retrieval","location":"Virtual Event China","acronym":"SIGIR '20","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3397271.3401173","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3397271.3401173","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:41:43Z","timestamp":1750200103000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3397271.3401173"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7,25]]},"references-count":40,"alternative-id":["10.1145\/3397271.3401173","10.1145\/3397271"],"URL":"https:\/\/doi.org\/10.1145\/3397271.3401173","relation":{},"subject":[],"published":{"date-parts":[[2020,7,25]]},"assertion":[{"value":"2020-07-25","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}