{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T16:03:57Z","timestamp":1743091437340,"version":"3.40.3"},"publisher-location":"Cham","reference-count":15,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030923068"},{"type":"electronic","value":"9783030923075"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-92307-5_13","type":"book-chapter","created":{"date-parts":[[2021,12,6]],"date-time":"2021-12-06T14:04:20Z","timestamp":1638799460000},"page":"106-113","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Multitask Model for\u00a0End-to-End Event Coreference Resolution"],"prefix":"10.1007","author":[{"given":"Congcheng","family":"Huang","sequence":"first","affiliation":[]},{"given":"Sheng","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Peifeng","family":"Li","sequence":"additional","affiliation":[]},{"given":"Qiaoming","family":"Zhu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,12,2]]},"reference":[{"key":"13_CR1","doi-asserted-by":"crossref","unstructured":"Weissenborn, D., Wiese, G., Seiffe, L.: Making neural qa as simple as possible butnotsimpler. In: Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017), pp. 271\u2013280 (2017)","DOI":"10.18653\/v1\/K17-1028"},{"key":"13_CR2","doi-asserted-by":"crossref","unstructured":"Lin, Y., Ji, H., Huang, F., Wu, L.: A joint neural model for information extraction with global features. In: Proceedings of the ACL 2020, pp. 7999\u20138009 (2020)","DOI":"10.18653\/v1\/2020.acl-main.713"},{"key":"13_CR3","unstructured":"Chen, Z., Ji, H., Haralick, R.: A pairwise event coreference model, feature impact and evaluation for event coreference resolution. In: Proceedings of the Workshop on Events in Emerging Text Types, pp. 17\u201322 (2009)"},{"key":"13_CR4","unstructured":"Liu, Z., Araki, J., Hovy, E. H., Mitamura, T.: Supervised within-document event coreference using information propagation. In: Proceedings of the LREC 2014, pp. 4539\u20134544 (2014)"},{"key":"13_CR5","doi-asserted-by":"crossref","unstructured":"Lu, J., Ng, V.: Joint learning for event coreference resolution. In: Proceedings of ACL 2017, pp. 90\u2013101 (2017)","DOI":"10.18653\/v1\/P17-1009"},{"key":"13_CR6","doi-asserted-by":"crossref","unstructured":"Choubey, P. K., Lee, A., Huang, R., Wang, L.: Discourse as a function of event: profiling discourse structure in news articles around the main event. In: Proceedings of ACL 2020, pp. 5374\u20135386 (2020)","DOI":"10.18653\/v1\/2020.acl-main.478"},{"key":"13_CR7","doi-asserted-by":"crossref","unstructured":"Huang, Y. J., Lu, J., Kurohashi, S., Ng, V.: Improving event coreference resolution by learning argument compatibility from unlabeled data. In: Proceedings of NAACL 2019, pp. 785\u2013795 (2019)","DOI":"10.18653\/v1\/N19-1085"},{"key":"13_CR8","doi-asserted-by":"crossref","unstructured":"Lu, J., Ng, V.: Span-based event coreference resolution. In: Proceedings of the AAAI Conference on Artificial Intelligence, pp. 13489\u201313497 (2021)","DOI":"10.1609\/aaai.v35i15.17591"},{"key":"13_CR9","unstructured":"Lu, J., Ng, V.: Event coreference resolution with non-local information. In: Proceedings of ACL-IJCNLP 2020, pp. 653\u2013663 (2020)"},{"key":"13_CR10","doi-asserted-by":"publisher","first-page":"64","DOI":"10.1162\/tacl_a_00300","volume":"8","author":"M Joshi","year":"2020","unstructured":"Joshi, M., Chen, D., Liu, Y., et al.: SpanBERT: improving pre-training by representing and predicting spans. Trans. Assoc. Comput. Linguist. 8, 64\u201377 (2020)","journal-title":"Trans. Assoc. Comput. Linguist."},{"key":"13_CR11","unstructured":"Mitamura, T., Liu, Z., Hovy, E.H.: Overview of tac kbp 2015 event nugget track. In: TAC (2015)"},{"key":"13_CR12","doi-asserted-by":"crossref","unstructured":"Vilain, M.B., Burger, J.D., Aberdeen, J.S., Connolly, D., Hirschman, L.: A model-theoretic coreference scoring scheme. In: Proceedings of the MUC 1995, Columbia, Maryland, USA, 6\u20138 November, 1995. DBLP (1995)","DOI":"10.3115\/1072399.1072405"},{"key":"13_CR13","unstructured":"Bagga, A., Baldwin, B.: Algorithms for scoring coreference chains. In: Proceedings of the LREC 1998, pp. 563\u2013566 (1998)"},{"key":"13_CR14","doi-asserted-by":"crossref","unstructured":"Luo, X.: On coreference resolution performance metrics. In: Proceedings of Human-Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, pp. 25\u201332 (2005)","DOI":"10.3115\/1220575.1220579"},{"key":"13_CR15","doi-asserted-by":"crossref","unstructured":"Recasens, M., Hovy, E.: BLANC: implementing the rand index for coreference evaluation. Natural language engineering, pp. 485\u2013510 (2017)","DOI":"10.1017\/S135132491000029X"}],"container-title":["Communications in Computer and Information Science","Neural Information Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-92307-5_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,17]],"date-time":"2023-01-17T10:55:14Z","timestamp":1673952914000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-92307-5_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030923068","9783030923075"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-92307-5_13","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"2 December 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICONIP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Neural Information Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Sanur, Bali","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Indonesia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 December 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 December 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iconip2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/iconip2021.apnns.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1093","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"226","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"177","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"21% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.57","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"6","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Due to the COVID-19 pandemic the conference was held online.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}