{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,16]],"date-time":"2025-11-16T14:13:20Z","timestamp":1763302400388,"version":"3.45.0"},"publisher-location":"Singapore","reference-count":21,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819533510","type":"print"},{"value":"9789819533527","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,11,17]],"date-time":"2025-11-17T00:00:00Z","timestamp":1763337600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,11,17]],"date-time":"2025-11-17T00:00:00Z","timestamp":1763337600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-981-95-3352-7_6","type":"book-chapter","created":{"date-parts":[[2025,11,16]],"date-time":"2025-11-16T14:09:01Z","timestamp":1763302141000},"page":"65-76","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["FedETE: Privacy-Preserving Federated Event Trigger Extraction"],"prefix":"10.1007","author":[{"given":"Fei","family":"Hu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tao","family":"Chang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Meihan","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shenpo","family":"Dong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jie","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiaqian","family":"Yin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaodong","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,11,17]]},"reference":[{"issue":"19","key":"6_CR1","doi-asserted-by":"publisher","first-page":"9901","DOI":"10.3390\/app12199901","volume":"48","author":"R Gosselin","year":"2022","unstructured":"Gosselin, R., Vieu, L., Loukil, F., Benoit, A.: Privacy and security in federated learning: a survey. Appl. Sci. 48(19), 9901 (2022)","journal-title":"Appl. Sci."},{"key":"6_CR2","doi-asserted-by":"crossref","unstructured":"Lyu, L., Yu, H., Yang, Q.: Threats to federated learning: a survey. arXiv preprint arXiv:2003.02133 (2020)","DOI":"10.1007\/978-3-030-63076-8_1"},{"issue":"2","key":"6_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3298981","volume":"10","author":"Q Yang","year":"2019","unstructured":"Yang, Q., Liu, Y., Chen, T., Tong, Y.: Federated machine learning: concept and applications. ACM Trans. Intell. Syst. Technol. (TIST) 10(2), 1\u201319 (2019)","journal-title":"ACM Trans. Intell. Syst. Technol. (TIST)"},{"key":"6_CR4","unstructured":"McMahan, B., Moore, E., Ramage, D., Hampson, S., Arcas, B.A.: Communication-efficient learning of deep networks from decentralized data. In Artificial intelligence and statistics, pp. 1273\u20131282 (2017)"},{"issue":"1\u20132","key":"6_CR5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1561\/2200000083","volume":"14","author":"P Kairouz","year":"2021","unstructured":"Kairouz, P., et al.: Advances and open problems in federated learning. Found. Trends Mach. Learn. 14(1\u20132), 1\u2013210 (2021)","journal-title":"Found. Trends Mach. Learn."},{"issue":"7","key":"6_CR6","doi-asserted-by":"publisher","first-page":"5476","DOI":"10.1109\/JIOT.2020.3030072","volume":"8","author":"S AbdulRahman","year":"2020","unstructured":"AbdulRahman, S., Tout, H., Ould-Slimane, H., Mourad, A., Talhi, C., Guizani, M.: A survey on federated learning: the journey from centralized to distributed on-site learning and beyond. IEEE Internet Things J. 8(7), 5476\u20135497 (2020)","journal-title":"IEEE Internet Things J."},{"issue":"2","key":"6_CR7","doi-asserted-by":"publisher","first-page":"513","DOI":"10.1007\/s13042-022-01647-y","volume":"14","author":"J Wen","year":"2023","unstructured":"Wen, J., Zhang, Z., Lan, Y., Cui, Z., Cai, J., Zhang, W.: A survey on federated learning: challenges and applications. Int. J. Mach. Learn. Cybern. 14(2), 513\u2013535 (2023)","journal-title":"Int. J. Mach. Learn. Cybern."},{"issue":"3","key":"6_CR8","doi-asserted-by":"publisher","first-page":"721","DOI":"10.1007\/s13042-021-01315-7","volume":"13","author":"H Wei","year":"2021","unstructured":"Wei, H., Zhou, A., Zhang, Y., Chen, F., Qu, W., Lu, M.: Biomedical event trigger extraction based on multi-layer residual BiLSTM and contextualized word representations. Int. J. Mach. Learn. Cybern. 13(3), 721\u2013733 (2021). https:\/\/doi.org\/10.1007\/s13042-021-01315-7","journal-title":"Int. J. Mach. Learn. Cybern."},{"key":"6_CR9","doi-asserted-by":"crossref","unstructured":"Chen, Y., Xu, L., Liu, K., Zeng, D., Zhao, J.: Event extraction via dynamic multi-pooling convolutional neural networks. In: Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing, vol. 1, pp. 167\u2013176 (2015)","DOI":"10.3115\/v1\/P15-1017"},{"key":"6_CR10","doi-asserted-by":"crossref","unstructured":"Yang, B., Mitchell, T.: Joint extraction of events and entities within a document context. arXiv preprint arXiv:1609.03632 (2016)","DOI":"10.18653\/v1\/N16-1033"},{"key":"6_CR11","doi-asserted-by":"crossref","unstructured":"Xu, Z.S., Chen, Y.N.: Zero-shot dialogue relation extraction by relating explainable triggers and relation names. arXiv preprint arXiv:2306.06141 (2023)","DOI":"10.18653\/v1\/2023.nlp4convai-1.10"},{"key":"6_CR12","unstructured":"Duki\u0107, D., Gashteovski, K., Glavas\u030c, G., et al.: Leveraging open information extraction for more robust domain transfer of event trigger detection. Findings of the Association for Computational Linguistics: EACL 2024, pp. 1197\u20131213 (2024)"},{"key":"6_CR13","unstructured":"Liu, M., Ho, S., Wang, M., Gao, L., Zhang, H.: Federated learning meets natural language processing: a survey. arXiv preprint arXiv:2107.12603 (2021)"},{"key":"6_CR14","doi-asserted-by":"crossref","unstructured":"Sui, D., Chen, Y., Zhao, J., Jia, Y., Xie, Y., Sun, W.: Feded: federated learning via ensemble distillation for medical relation extraction. In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 2118\u20132128 (2020)","DOI":"10.18653\/v1\/2020.emnlp-main.165"},{"key":"6_CR15","unstructured":"Ge, S., Wu, F., Wu, C., Qi, T., Xie, X.: FedNER: medical named entity recognition with federated learning. arXiv preprint arXiv:2003.09288 (2020)"},{"issue":"4","key":"6_CR16","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3510033","volume":"13","author":"Y Tian","year":"2022","unstructured":"Tian, Y., Wan, Y., Lyu, L., Yao, D., Jin, H., Sun, L.: FedBERT: when federated learning meets pre-training. ACM Trans. Intell. Syst. Technol. (TIST) 13(4), 1\u201326 (2022)","journal-title":"ACM Trans. Intell. Syst. Technol. (TIST)"},{"key":"6_CR17","doi-asserted-by":"crossref","unstructured":"Zhou, X., et al.: Memetic federated learning for biomedical natural language processing. In: Natural Language Processing and Chinese Computing: 10th CCF International Conference, NLPCC 2021, Qingdao, China, 13\u201317 October 2021. Proceedings, Part II, vol. 10, pp. 43\u201355 (2021)","DOI":"10.1007\/978-3-030-88483-3_4"},{"key":"6_CR18","unstructured":"Duki\u0107, D., Gashteovski, K., Glavas\u030c, G., S\u030cnajder, J.: Leveraging open information extraction for improving few-shot trigger detection domain transfer. arXiv preprint arXiv:2305.14163 (2023)"},{"key":"6_CR19","doi-asserted-by":"crossref","unstructured":"Wang, X., et al.: HMEAE: hierarchical modular event argument extraction. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), pp. 5777\u20135783 (2019)","DOI":"10.18653\/v1\/D19-1584"},{"key":"6_CR20","unstructured":"Mathew, J., Stripelis, D., Ambite, J.L.: Federated named entity recognition. arXiv preprint arXiv:2203.15101 (2022)"},{"key":"6_CR21","unstructured":"Hsu, T., Qi, H., Brown, M.: Measuring the effects of non-identical data distribution for federated visual classification. arXiv preprint arXiv:1909.06335 (2019)"}],"container-title":["Lecture Notes in Computer Science","Natural Language Processing and Chinese Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-95-3352-7_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,16]],"date-time":"2025-11-16T14:09:05Z","timestamp":1763302145000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-95-3352-7_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,17]]},"ISBN":["9789819533510","9789819533527"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-981-95-3352-7_6","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,11,17]]},"assertion":[{"value":"17 November 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"NLPCC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"CCF International Conference on Natural Language Processing and Chinese Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Urumqi","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 August 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 August 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"nlpcc2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/tcci.ccf.org.cn\/conference\/2025\/index.php","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}