{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,13]],"date-time":"2026-06-13T01:57:12Z","timestamp":1781315832655,"version":"3.54.1"},"reference-count":48,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/tkde.2023.3292974","type":"journal-article","created":{"date-parts":[[2023,7,6]],"date-time":"2023-07-06T17:25:06Z","timestamp":1688664306000},"page":"1-14","source":"Crossref","is-referenced-by-count":7,"title":["Evidence Reasoning and Curriculum Learning for Document-level Relation Extraction"],"prefix":"10.1109","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2049-9016","authenticated-orcid":false,"given":"Tianyu","family":"Xu","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Soochow University, Suzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianfeng","family":"Qu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Soochow University, Suzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5456-7035","authenticated-orcid":false,"given":"Wen","family":"Hua","sequence":"additional","affiliation":[{"name":"Department of Computing, Hong Kong Polytechnic University, HongKong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2355-288X","authenticated-orcid":false,"given":"Zhixu","family":"Li","sequence":"additional","affiliation":[{"name":"Shanghai Key Laboratory of Data Science, School of Computer Science, Fudan University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8227-8636","authenticated-orcid":false,"given":"Jiajie","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Soochow University, Suzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6368-576X","authenticated-orcid":false,"given":"An","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Soochow University, Suzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5123-9279","authenticated-orcid":false,"given":"Lei","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Soochow University, Suzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6343-1455","authenticated-orcid":false,"given":"Xiaofang","family":"Zhou","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Hong Kong University of Science and Technology, HongKong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","first-page":"345","article-title":"UHop: An unrestricted-hop relation extraction framework for knowledge-based question answering","volume-title":"Proc. Conf. North Amer. Chapter Assoc. Comput. Linguistics","author":"Chen"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11927"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1279"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.298"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.naacl-main.5"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3289600.3291004"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1074"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-short.126"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.303"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.coling-main.461"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/551"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.127"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.findings-acl.23"},{"key":"ref14","article-title":"Entity and evidence guided relation extraction for docred","author":"Huang","year":"2020"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.emnlp-main.580"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-15939-8_10"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1004"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-86523-8_35"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.findings-acl.132"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.10295"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00173"},{"key":"ref22","first-page":"4171","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","volume-title":"Proc. Conf. North Amer. Chapter Assoc. Comput. Linguistics","author":"Devlin"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i16.17717"},{"key":"ref24","first-page":"5998","article-title":"Attention is all you need","volume-title":"Proc. Annu. Conf. Neural Inf. Process. Syst.","author":"Vaswani"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553380"},{"key":"ref26","article-title":"Visualizing and understanding curriculum learning for long short-term memory networks","author":"Cirik","year":"2016"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.141"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i16.17667"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.83"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557313"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.naacl-main.171"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.95"},{"key":"ref33","article-title":"Fine-tune bert for DocRED with two-step process","author":"Wang","year":"2019"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.260"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.findings-emnlp.253"},{"key":"ref36","volume-title":"Reinforcement Learn.: An Introduction","author":"Sutton","year":"2018"},{"key":"ref37","article-title":"Playing atari with deep reinforcement learning","author":"Mnih","year":"2013"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1261"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1127"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1199"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.12063"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357997"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3108547"},{"key":"ref44","first-page":"2535","article-title":"On the power of curriculum learning in training deep networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Hacohen"},{"key":"ref45","article-title":"When do curricula work?","volume-title":"Proc. 9th Int. Conf. Learn. Representations","author":"Wu"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.542"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3069908"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00512"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/69\/4358933\/10174655.pdf?arnumber=10174655","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,13]],"date-time":"2024-01-13T18:25:29Z","timestamp":1705170329000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10174655\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":48,"URL":"https:\/\/doi.org\/10.1109\/tkde.2023.3292974","relation":{},"ISSN":["1041-4347","1558-2191","2326-3865"],"issn-type":[{"value":"1041-4347","type":"print"},{"value":"1558-2191","type":"electronic"},{"value":"2326-3865","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}