{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,22]],"date-time":"2025-11-22T06:34:20Z","timestamp":1763793260816,"version":"3.45.0"},"publisher-location":"Singapore","reference-count":31,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819533428","type":"print"},{"value":"9789819533435","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,11,23]],"date-time":"2025-11-23T00:00:00Z","timestamp":1763856000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,11,23]],"date-time":"2025-11-23T00:00:00Z","timestamp":1763856000000},"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\/978-981-95-3343-5_2","type":"book-chapter","created":{"date-parts":[[2025,11,22]],"date-time":"2025-11-22T06:30:51Z","timestamp":1763793051000},"page":"16-28","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Document-Level Event Coreference Resolution on\u00a0Trigger Augmentation and\u00a0Contrastive Learning"],"prefix":"10.1007","author":[{"given":"Hanmeng","family":"Zhong","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peifeng","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qiaoming","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Linqing","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wentao","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weilei","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,11,23]]},"reference":[{"key":"2_CR1","doi-asserted-by":"crossref","unstructured":"Huang, K.H., Peng, N.: Document-level event extraction with efficient end-to-end learning of cross-event dependencies. In: WNU 2021, pp. 36\u201347 (2021)","DOI":"10.18653\/v1\/2021.nuse-1.4"},{"key":"2_CR2","doi-asserted-by":"crossref","unstructured":"Li, M., Ma, T., Yu, M., et\u00a0al.: Timeline summarization based on event graph compression via time-aware optimal transport. In: EMNLP 2021, pp. 6443\u20136456 (2021)","DOI":"10.18653\/v1\/2021.emnlp-main.519"},{"key":"2_CR3","doi-asserted-by":"crossref","unstructured":"Huang, Y.J., Lu, J., Kurohashi, S., et\u00a0al.: Improving event coreference resolution by learning argument compatibility from unlabeled data. In: NAACL 2019, pp. 785\u2013795 (2019)","DOI":"10.18653\/v1\/N19-1085"},{"key":"2_CR4","doi-asserted-by":"crossref","unstructured":"Lai, T., Ji, H., Bui, T., et\u00a0al.: A context-dependent gated module for incorporating symbolic semantics into event coreference resolution. In: NAACL 2021, pp. 3491\u20133499 (2021)","DOI":"10.18653\/v1\/2021.naacl-main.274"},{"key":"2_CR5","doi-asserted-by":"crossref","unstructured":"Lu, J., Ng, V.: Span-based event coreference resolution. In: AAAI 2021, pp. 13489\u201313497 (2021)","DOI":"10.1609\/aaai.v35i15.17591"},{"key":"2_CR6","doi-asserted-by":"crossref","unstructured":"Lu, J., Ng, V.: Constrained multi-task learning for event coreference resolution. In: NAACL 2021, pp. 4504\u20134514 (2021)","DOI":"10.18653\/v1\/2021.naacl-main.356"},{"key":"2_CR7","doi-asserted-by":"crossref","unstructured":"Tran, H.M., Phung, D., Nguyen, T.H.: Exploiting document structures and cluster consistencies for event coreference resolution. In: ACL 2021, pp. 4840\u20134850 (2021)","DOI":"10.18653\/v1\/2021.acl-long.374"},{"key":"2_CR8","doi-asserted-by":"crossref","unstructured":"Xu, S., Li, P., Zhu, Q.: Improving event coreference resolution using document-level and topic-level information. In: EMNLP 2022, pp. 6765\u20136775 (2022)","DOI":"10.18653\/v1\/2022.emnlp-main.454"},{"key":"2_CR9","doi-asserted-by":"crossref","unstructured":"Yao, Y., Li, Z., Zhao, H.: Learning event-aware measures for event coreference resolution. In: ACL 2023, pp. 13542\u201313556 (2023)","DOI":"10.18653\/v1\/2023.findings-acl.855"},{"key":"2_CR10","doi-asserted-by":"crossref","unstructured":"Xu, S., Li, P., Zhu, Q.: Corefprompt: prompt-based event coreference resolution by measuring event type and argument compatibilities. In: EMNLP 2023, pp. 15440\u201315452 (2023)","DOI":"10.18653\/v1\/2023.emnlp-main.954"},{"key":"2_CR11","doi-asserted-by":"crossref","unstructured":"Ding, B., Min, Q., Ma, S., et\u00a0al.: A rationale-centric counterfactual data augmentation method for cross-document event coreference resolution. In: NAACL 2024, pp. 1112\u20131140 (2024)","DOI":"10.18653\/v1\/2024.naacl-long.63"},{"key":"2_CR12","doi-asserted-by":"crossref","unstructured":"Min, Q., Guo, Q., Hu, X., et\u00a0al.: Synergetic event understanding: a collaborative approach to cross-document event coreference resolution with large language models. In: ACL 2024, pp. 2985\u20133002 (2024)","DOI":"10.18653\/v1\/2024.acl-long.164"},{"key":"2_CR13","doi-asserted-by":"crossref","unstructured":"Ahmed, S.R., Wang, Z.E., Baker, G., et\u00a0al.: Generating harder cross-document event coreference resolution datasets using metaphoric paraphrasing. In: ACL 2024, pp. 276\u2013286 (2024)","DOI":"10.18653\/v1\/2024.acl-short.27"},{"key":"2_CR14","doi-asserted-by":"crossref","unstructured":"Chen, R., Qin, C., Jiang, W., et\u00a0al.: Is a large language model a good annotator for event extraction? In: AAAI 2024, pp. 17772\u201317780 (2024)","DOI":"10.1609\/aaai.v38i16.29730"},{"key":"2_CR15","unstructured":"Gao, J., Zhao, H., Wang, W., et\u00a0al.: Eventrl: enhancing event extraction with outcome supervision for large language models. arXiv:2402.11430 (2024)"},{"key":"2_CR16","unstructured":"Zhang, L., Ning, Y.: Large language models as event forecasters. arXiv:2406.10492 (2024)"},{"key":"2_CR17","unstructured":"Tao, Z., Jin, Z., Zhang, Y., et\u00a0al.: A comprehensive evaluation on event reasoning of large language models. arXiv:2404.17513 (2024)"},{"key":"2_CR18","doi-asserted-by":"crossref","unstructured":"Yu, X., Sun, W., Li, J., et\u00a0al.: Onsep: a novel online neural-symbolic framework for event prediction based on large language model. In: ACL 2024, pp. 6335\u20136350 (2024)","DOI":"10.18653\/v1\/2024.findings-acl.378"},{"key":"2_CR19","doi-asserted-by":"crossref","unstructured":"Chen, Z., Ji, H.: Graph-based event coreference resolution. In: TextGraphs-4, pp. 54\u201357 (2009)","DOI":"10.3115\/1708124.1708135"},{"key":"2_CR20","doi-asserted-by":"crossref","unstructured":"Peng, H., Song, Y., Roth, D.: Event detection and co-reference with minimal supervision. In: EMNLP 2016, pp. 392\u2013402 (2016)","DOI":"10.18653\/v1\/D16-1038"},{"key":"2_CR21","doi-asserted-by":"crossref","unstructured":"Chen, Z., Ji, H., Haralick, R.M.: A pairwise event coreference model, feature impact and evaluation for event coreference resolution. In: eETTs 2009, pp. 17\u201322 (2009)","DOI":"10.3115\/1708124.1708135"},{"key":"2_CR22","unstructured":"Liu, Z., Araki, J., Hovy, E., et\u00a0al.: Supervised within-document event coreference using information propagation. In: LREC 2014, pp. 4539\u20134544 (2014)"},{"key":"2_CR23","doi-asserted-by":"crossref","unstructured":"Krause, S., Xu, F., Uszkoreit, H., et\u00a0al.: Event linking with sentential features from convolutional neural networks. In: CoNLL 2016, pp. 239\u2013249 (2016)","DOI":"10.18653\/v1\/K16-1024"},{"key":"2_CR24","unstructured":"Mikolov, T., Chen, K., Corrado, G., et\u00a0al.: Efficient estimation of word representations in vector space. In: ICLR 2013 (2013)"},{"key":"2_CR25","doi-asserted-by":"crossref","unstructured":"Pennington, J., Socher, R., Manning, C.D.: Glove: global vectors for word representation. In: EMNLP 2014, pp. 1532\u20131543 (2014)","DOI":"10.3115\/v1\/D14-1162"},{"key":"2_CR26","unstructured":"Chen, Q., Zhu, X., Ling, Z.H., et\u00a0al.: Enhanced lstm for natural language inference. In: ACL 2017, pp. 1657\u20131668 (2017)"},{"key":"2_CR27","doi-asserted-by":"crossref","unstructured":"Chao, L., Xiang, W., Wang, B.: In-context contrastive learning for event causality identification. In: EMNLP 2024, pp. 868\u2013881 (2024)","DOI":"10.18653\/v1\/2024.emnlp-main.51"},{"key":"2_CR28","doi-asserted-by":"crossref","unstructured":"Vilain, M., Burger, J.D., Aberdeen, J., et\u00a0al.: A model-theoretic coreference scoring scheme. In: MUC-6 (1995)","DOI":"10.3115\/1072399.1072405"},{"key":"2_CR29","doi-asserted-by":"crossref","unstructured":"Bagga, A., Baldwin, B.: Algorithms for scoring coreference chains. In: LREC 1998, vol.\u00a01, pp. 563\u2013566 (1998)","DOI":"10.3115\/1608810.1608812"},{"key":"2_CR30","doi-asserted-by":"crossref","unstructured":"Luo, X.: On coreference resolution performance metrics. In: EMNLP 2005, pp. 25\u201332 (2005)","DOI":"10.3115\/1220575.1220579"},{"issue":"4","key":"2_CR31","doi-asserted-by":"publisher","first-page":"485","DOI":"10.1017\/S135132491000029X","volume":"17","author":"M Recasens","year":"2011","unstructured":"Recasens, M., Hovy, E.: BLANC: implementing the rand index for coreference evaluation. Nat. Lang. Eng. 17(4), 485\u2013510 (2011)","journal-title":"Nat. Lang. Eng."}],"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\/978-981-95-3343-5_2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,22]],"date-time":"2025-11-22T06:30:56Z","timestamp":1763793056000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-95-3343-5_2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,23]]},"ISBN":["9789819533428","9789819533435"],"references-count":31,"URL":"https:\/\/doi.org\/10.1007\/978-981-95-3343-5_2","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,11,23]]},"assertion":[{"value":"23 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"}}]}}