{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T09:18:24Z","timestamp":1743153504224,"version":"3.40.3"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031171192"},{"type":"electronic","value":"9783031171208"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"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":[[2022]]},"DOI":"10.1007\/978-3-031-17120-8_21","type":"book-chapter","created":{"date-parts":[[2022,9,23]],"date-time":"2022-09-23T13:02:58Z","timestamp":1663938178000},"page":"259-271","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Dual Interactive Attention Network for\u00a0Joint Entity and\u00a0Relation Extraction"],"prefix":"10.1007","author":[{"given":"Lishuang","family":"Li","sequence":"first","affiliation":[]},{"given":"Zehao","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Xueyang","family":"Qin","sequence":"additional","affiliation":[]},{"given":"Hongbin","family":"Lu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,9,24]]},"reference":[{"key":"21_CR1","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1016\/j.eswa.2018.07.032","volume":"114","author":"G Bekoulis","year":"2018","unstructured":"Bekoulis, G., Deleu, J., Demeester, T., Develder, C.: Joint entity recognition and relation extraction as a multi-head selection problem. Expert Syst. Appl. 114, 34\u201345 (2018)","journal-title":"Expert Syst. Appl."},{"key":"21_CR2","unstructured":"Cabot, P.L.H., Navigli, R.: Rebel: relation extraction by end-to-end language generation. In: Proceedings of the EMNLP 2021, pp. 2370\u20132381 (2021)"},{"key":"21_CR3","unstructured":"Walker, C., Strassel, S., Medero, J., Maeda, K.: ACE 2005 multilingual training corpus. J. Biomed. Inf. 45(5), 57\u201345 (2005)"},{"key":"21_CR4","unstructured":"Doddington, G.R., Mitchell, A., Przybocki, M.A., Ramshaw, L.A., Strassel, S.M., Weischedel, R.M.: The automatic content extraction (ACE) program-tasks, data, and evaluation. In: LREC, vol. 2, pp. 837\u2013840 (2004)"},{"key":"21_CR5","unstructured":"Eberts, M., Ulges, A.: Span-based joint entity and relation extraction with transformer pre-training. In: ECAI 2020, pp. 2006\u20132013 (2019)"},{"key":"21_CR6","unstructured":"Guo, M.H., Liu, Z.N., Mu, T.J., Hu, S.M.: Beyond self-attention: external attention using two linear layers for visual tasks. arXiv preprint arXiv:2105.02358"},{"key":"21_CR7","doi-asserted-by":"crossref","unstructured":"Gurulingappa, H., Rajput, A.M., Roberts, A., Fluck, J., Hofmann-Apitius, M., Toldo, L.: Development of a benchmark corpus to support the automatic extraction of drug-related adverse effects from medical case reports. J. Biomed. Inf. 45(5), 885\u2013892 (2012)","DOI":"10.1016\/j.jbi.2012.04.008"},{"key":"21_CR8","doi-asserted-by":"crossref","unstructured":"Luan, Y., He, L., Ostendorf, M., Hajishirzi, H.: Multi-task identification of entities, relations, and coreference for scientific knowledge graph construction. In: Proceedings of the EMNLP, pp. 3219\u20133232 (2018)","DOI":"10.18653\/v1\/D18-1360"},{"key":"21_CR9","doi-asserted-by":"crossref","unstructured":"Miwa, M., Bansal, M.: End-to-end relation extraction using LSTMs on sequences and tree structures. In: Proceedings of the ACL, pp. 1105\u20131116 (2016)","DOI":"10.18653\/v1\/P16-1105"},{"key":"21_CR10","doi-asserted-by":"crossref","unstructured":"Ren, F., et al.: A novel global feature-oriented relational triple extraction model based on table filling. In: Proceedings of the EMNLP, pp. 2646\u20132656 (2021)","DOI":"10.18653\/v1\/2021.emnlp-main.208"},{"key":"21_CR11","unstructured":"Roth, D., Yih, W.: A linear programming formulation for global inference in natural language tasks. In: Proceedings of the HLT-NAACL, pp. 1\u20138 (2004)"},{"key":"21_CR12","unstructured":"Vaswani, A., et al.: Attention is all you need. In: Proceedings of the NIPS, pp. 5998\u20136008 (2017)"},{"key":"21_CR13","doi-asserted-by":"crossref","unstructured":"Wang, J., Lu, W.: Two are better than one: joint entity and relation extraction with table-sequence encoders. In: Proceedings of the EMNLP, pp. 1706\u20131721 (2020)","DOI":"10.18653\/v1\/2020.emnlp-main.133"},{"key":"21_CR14","doi-asserted-by":"crossref","unstructured":"Wang, Y., Sun, C., Wu, Y., Zhou, H., Li, L., Yan, J.: UniRE: a unified label space for entity relation extraction. In: Proceedings of the ACL, pp. 220\u2013231 (2021)","DOI":"10.18653\/v1\/2021.acl-long.19"},{"key":"21_CR15","doi-asserted-by":"crossref","unstructured":"Wang, Y., Yu, B., Zhang, Y., Liu, T., Zhu, H., Sun, L.: TPLinker: single-stage joint extraction of entities and relations through token pair linking. In: Proceedings of the COLING, pp. 1572\u20131582 (2020)","DOI":"10.18653\/v1\/2020.coling-main.138"},{"key":"21_CR16","doi-asserted-by":"crossref","unstructured":"Wei, Z., Su, J., Wang, Y., Tian, Y.: A novel cascade binary tagging framework for relational triple extraction. In: Proceedings of the ACL, pp. 1476\u20131488 (2020)","DOI":"10.18653\/v1\/2020.acl-main.136"},{"key":"21_CR17","doi-asserted-by":"crossref","unstructured":"Yan, Z., Zhang, C., Fu, J., Zhang, Q., Wei, Z.: A partition filter network for joint entity and relation extraction. In: Proceedings of the EMNLP, pp. 185\u2013197 (2021)","DOI":"10.18653\/v1\/2021.emnlp-main.17"},{"key":"21_CR18","doi-asserted-by":"crossref","unstructured":"Zheng, S., Wang, F., Bao, H., Hao, Y., Zhou, P., Xu, B.: Joint extraction of entities and relations based on a novel tagging scheme. In: Proceedings of the ACL, pp. 1227\u20131236 (2017)","DOI":"10.18653\/v1\/P17-1113"},{"key":"21_CR19","doi-asserted-by":"crossref","unstructured":"Zhong, Z., Chen, D.: A frustratingly easy approach for entity and relation extraction. In: Proceedings of the NAACL, pp. 50\u201361 (2021)","DOI":"10.18653\/v1\/2021.naacl-main.5"}],"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\/978-3-031-17120-8_21","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,23]],"date-time":"2022-09-23T13:06:42Z","timestamp":1663938402000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-17120-8_21"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031171192","9783031171208"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-17120-8_21","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"24 September 2022","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":"Guilin","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":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 September 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 September 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"nlpcc2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/tcci.ccf.org.cn\/conference\/2022\/","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":"327","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":"73","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":"22% - 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":"1.5","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)"}}]}}