{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,8]],"date-time":"2024-09-08T02:16:37Z","timestamp":1725761797905},"publisher-location":"New York, NY, USA","reference-count":9,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,11,17]]},"DOI":"10.1145\/3652628.3652696","type":"proceedings-article","created":{"date-parts":[[2024,5,23]],"date-time":"2024-05-23T14:36:46Z","timestamp":1716475006000},"page":"412-415","update-policy":"http:\/\/dx.doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Research on the Application of an OPT Model Integrating Meta-Learning and Prompt Learning for Few-Shot Event Extraction"],"prefix":"10.1145","author":[{"ORCID":"http:\/\/orcid.org\/0009-0004-4991-4396","authenticated-orcid":false,"given":"Xianda","family":"Li","sequence":"first","affiliation":[{"name":"Beijing University of Posts and Telecommunications, China"}]},{"ORCID":"http:\/\/orcid.org\/0009-0003-2547-6427","authenticated-orcid":false,"given":"Baheti","family":"Azhati","sequence":"additional","affiliation":[{"name":"Beijing University of Posts and Telecommunications, China"}]}],"member":"320","published-online":{"date-parts":[[2024,5,23]]},"reference":[{"volume-title":"in pre-selected and balanced collections.\" Proceedings of the International Conference Recent Advances in Natural Language Processing","year":"2011","author":"Liao Shasha","key":"e_1_3_2_1_1_1","unstructured":"Liao, Shasha, and Ralph Grishman. \"Acquiring topic features to improve event extraction: in pre-selected and balanced collections.\" Proceedings of the International Conference Recent Advances in Natural Language Processing 2011. 2011."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"crossref","unstructured":"Patwardhan Siddharth and Ellen Riloff. \"A unified model of phrasal and sentential evidence for information extraction.\" Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing. 2009.","DOI":"10.3115\/1699510.1699530"},{"volume-title":"Short Papers)","year":"2015","author":"Nguyen Thien Huu","key":"e_1_3_2_1_3_1","unstructured":"Nguyen, Thien Huu, and Ralph Grishman. \"Event detection and domain adaptation with convolutional neural networks.\" Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers). 2015."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"crossref","unstructured":"Nguyen Thien and Ralph Grishman. \"Graph convolutional networks with argument-aware pooling for event detection.\" Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 32. No. 1. 2018.","DOI":"10.1609\/aaai.v32i1.12039"},{"volume-title":"ACL-IJCNLP","year":"2021","author":"Zhang Hongming","key":"e_1_3_2_1_5_1","unstructured":"Zhang, Hongming, Haoyu Wang, and Dan Roth. \"Zero-shot label-aware event trigger and argument classification.\" Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. 2021."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"crossref","unstructured":"Cong Xin \"Few-shot event detection with prototypical amortized conditional random field.\" arXiv preprint arXiv:2012.02353 (2020).","DOI":"10.18653\/v1\/2021.findings-acl.3"},{"volume-title":"PMLR","year":"2017","author":"Finn Chelsea","key":"e_1_3_2_1_7_1","unstructured":"Finn, Chelsea, Pieter Abbeel, and Sergey Levine. \"Model-agnostic meta-learning for fast adaptation of deep networks.\" International conference on machine learning. PMLR, 2017."},{"volume-title":"Pre-training of deep bidirectional transformers for language understanding.\" arXiv preprint arXiv:1810.04805","year":"2018","author":"Devlin Jacob","key":"e_1_3_2_1_8_1","unstructured":"Devlin, Jacob, \"Bert: Pre-training of deep bidirectional transformers for language understanding.\" arXiv preprint arXiv:1810.04805, 2018."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"crossref","unstructured":"Shen Shirong \"Adaptive knowledge-enhanced Bayesian meta-learning for few-shot event detection.\" arXiv preprint arXiv:2105.09509 2021.","DOI":"10.18653\/v1\/2021.findings-acl.214"}],"event":{"name":"ICAICE 2023: The 4th International Conference on Artificial Intelligence and Computer Engineering","acronym":"ICAICE 2023","location":"Dalian China"},"container-title":["Proceedings of the 4th International Conference on Artificial Intelligence and Computer Engineering"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3652628.3652696","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,24]],"date-time":"2024-05-24T13:48:31Z","timestamp":1716558511000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3652628.3652696"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,17]]},"references-count":9,"alternative-id":["10.1145\/3652628.3652696","10.1145\/3652628"],"URL":"https:\/\/doi.org\/10.1145\/3652628.3652696","relation":{},"subject":[],"published":{"date-parts":[[2023,11,17]]},"assertion":[{"value":"2024-05-23","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}