{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T07:21:40Z","timestamp":1777879300298,"version":"3.51.4"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031446955","type":"print"},{"value":"9783031446962","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-3-031-44696-2_13","type":"book-chapter","created":{"date-parts":[[2023,10,7]],"date-time":"2023-10-07T09:03:59Z","timestamp":1696669439000},"page":"161-172","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Dual-Prompting Interaction with\u00a0Entity Representation Enhancement for\u00a0Event Argument Extraction"],"prefix":"10.1007","author":[{"given":"Ruifang","family":"He","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mengnan","family":"Xiao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinsong","family":"Ma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Junwei","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haodong","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shiqi","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jie","family":"Bai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,10,8]]},"reference":[{"key":"13_CR1","doi-asserted-by":"crossref","unstructured":"Du, X., Cardie, C.: Event extraction by answering (almost) natural questions. In: Proceedings of EMNLP, pp. 671\u2013683 (2020)","DOI":"10.18653\/v1\/2020.emnlp-main.49"},{"key":"13_CR2","doi-asserted-by":"crossref","unstructured":"Ebner, S., Xia, P., Culkin, R., Rawlins, K., Van Durme, B.: Multi-sentence argument linking. In: Proceedings of ACL, pp. 8057\u20138077 (2020)","DOI":"10.18653\/v1\/2020.acl-main.718"},{"key":"13_CR3","unstructured":"Gao, J., He, D., Tan, X., Qin, T., Wang, L., Liu, T.: Representation degeneration problem in training natural language generation models. In: Proceedings of ICLR (2018)"},{"key":"13_CR4","doi-asserted-by":"crossref","unstructured":"Huang, Y., Jia, W.: Exploring sentence community for document-level event extraction. In: Findings of EMNLP, pp. 340\u2013351 (2021)","DOI":"10.18653\/v1\/2021.findings-emnlp.32"},{"key":"13_CR5","doi-asserted-by":"crossref","unstructured":"Lewis, M., et al.: BART: denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension. In: Proceedings of ACL, pp. 7871\u20137880 (2020)","DOI":"10.18653\/v1\/2020.acl-main.703"},{"key":"13_CR6","doi-asserted-by":"crossref","unstructured":"Li, F., et al.: Event extraction as multi-turn question answering. In: Findings of EMNLP, pp. 829\u2013838 (2020)","DOI":"10.18653\/v1\/2020.findings-emnlp.73"},{"key":"13_CR7","doi-asserted-by":"crossref","unstructured":"Li, S., Ji, H., Han, J.: Document-level event argument extraction by conditional generation. In: Proceedings of NAACL, pp. 894\u2013908 (2021)","DOI":"10.18653\/v1\/2021.naacl-main.69"},{"key":"13_CR8","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 ACL, pp. 7999\u20138009 (2020)","DOI":"10.18653\/v1\/2020.acl-main.713"},{"key":"13_CR9","doi-asserted-by":"crossref","unstructured":"Liu, J., Chen, Y., Liu, K., Bi, W., Liu, X.: Event extraction as machine reading comprehension. In: Proceedings of EMNLP, pp. 1641\u20131651 (2020)","DOI":"10.18653\/v1\/2020.emnlp-main.128"},{"key":"13_CR10","doi-asserted-by":"crossref","unstructured":"Liu, J., Chen, Y., Xu, J.: Machine reading comprehension as data augmentation: a case study on implicit event argument extraction. In: Proceedings of EMNLP, pp. 2716\u20132725 (2021)","DOI":"10.18653\/v1\/2021.emnlp-main.214"},{"issue":"9","key":"13_CR11","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3560815","volume":"55","author":"P Liu","year":"2023","unstructured":"Liu, P., Yuan, W., Fu, J., Jiang, Z., Hayashi, H., Neubig, G.: Pre-train, prompt, and predict: a systematic survey of prompting methods in natural language processing. ACM Comput. Surv. 55(9), 1\u201335 (2023)","journal-title":"ACM Comput. Surv."},{"key":"13_CR12","doi-asserted-by":"crossref","unstructured":"Liu, X., Huang, H., Shi, G., Wang, B.: Dynamic prefix-tuning for generative template-based event extraction. In: Proceedings of ACL, pp. 5216\u20135228 (2022)","DOI":"10.18653\/v1\/2022.acl-long.358"},{"key":"13_CR13","doi-asserted-by":"crossref","unstructured":"Liu, X., Luo, Z., Huang, H.: Jointly multiple events extraction via attention-based graph information aggregation. In: Proceedings of EMNLP, pp. 1247\u20131256 (2018)","DOI":"10.18653\/v1\/D18-1156"},{"key":"13_CR14","doi-asserted-by":"crossref","unstructured":"Lu, Y., et al.: Text2Event: controllable sequence-to-structure generation for end-to-end event extraction. In: Proceedings of ACL, pp. 2795\u20132806 (2021)","DOI":"10.18653\/v1\/2021.acl-long.217"},{"key":"13_CR15","doi-asserted-by":"crossref","unstructured":"Ma, Y., et al.: Prompt for extraction? PAIE: prompting argument interaction for event argument extraction. In: Proceedings of ACL, pp. 6759\u20136774 (2022)","DOI":"10.18653\/v1\/2022.acl-long.466"},{"key":"13_CR16","unstructured":"Paolini, G., et al.: Structured prediction as translation between augmented natural languages. In: Proceedings of ICLR (2021)"},{"key":"13_CR17","doi-asserted-by":"crossref","unstructured":"Wadden, D., Wennberg, U., Luan, Y., Hajishirzi, H.: Entity, relation, and event extraction with contextualized span representations. In: Proceedings of EMNLP, pp. 5784\u20135789 (2019)","DOI":"10.18653\/v1\/D19-1585"},{"key":"13_CR18","doi-asserted-by":"crossref","unstructured":"Wang, C., Liu, P., Zhang, Y.: Can generative pre-trained language models serve as knowledge bases for closed-book QA? In: Proceedings of ACL, pp. 3241\u20133251 (2021)","DOI":"10.18653\/v1\/2021.acl-long.251"},{"key":"13_CR19","doi-asserted-by":"crossref","unstructured":"Wei, K., Sun, X., Zhang, Z., Zhang, J., Zhi, G., Jin, L.: Trigger is not sufficient: exploiting frame-aware knowledge for implicit event argument extraction. In: Proceedings of ACL, pp. 4672\u20134682 (2021)","DOI":"10.18653\/v1\/2021.acl-long.360"},{"key":"13_CR20","doi-asserted-by":"crossref","unstructured":"Yang, B., Mitchell, T.M.: Joint extraction of events and entities within a document context. In: Proceedings of NAACL, pp. 289\u2013299 (2016)","DOI":"10.18653\/v1\/N16-1033"},{"key":"13_CR21","doi-asserted-by":"crossref","unstructured":"Ye, D., Lin, Y., Li, P., Sun, M., Liu, Z.: A simple but effective pluggable entity lookup table for pre-trained language models. In: Proceedings of ACL, pp. 523\u2013529 (2022)","DOI":"10.18653\/v1\/2022.acl-short.57"}],"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\/978-3-031-44696-2_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,7]],"date-time":"2023-10-07T09:05:29Z","timestamp":1696669529000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-44696-2_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031446955","9783031446962"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-44696-2_13","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"8 October 2023","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":"Foshan","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":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 October 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 October 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"nlpcc2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/tcci.ccf.org.cn\/conference\/2023\/index.php","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Softconf","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"478","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":"143","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":"0","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":"30% - 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":"3","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":"4","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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}