{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,17]],"date-time":"2026-06-17T02:26:58Z","timestamp":1781663218179,"version":"3.54.5"},"reference-count":63,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62176187"],"award-info":[{"award-number":["62176187"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Center for Artificial Intelligence"},{"name":"Sao Paulo Research Foundation","award":["#2019\/07665-4"],"award-info":[{"award-number":["#2019\/07665-4"]}]},{"DOI":"10.13039\/100004316","name":"International Business Machines Corporation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100004316","id-type":"DOI","asserted-by":"publisher"}]},{"name":"China Branch of BRICS Institute of Future Networks"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2024,11]]},"DOI":"10.1109\/tkde.2024.3389650","type":"journal-article","created":{"date-parts":[[2024,4,16]],"date-time":"2024-04-16T17:28:48Z","timestamp":1713288528000},"page":"6397-6409","source":"Crossref","is-referenced-by-count":16,"title":["TKDP: Threefold Knowledge-Enriched Deep Prompt Tuning for Few-Shot Named Entity Recognition"],"prefix":"10.1109","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5815-135X","authenticated-orcid":false,"given":"Jiang","family":"Liu","sequence":"first","affiliation":[{"name":"Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering, Wuhan University, Wuhan, Hubei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3026-6347","authenticated-orcid":false,"given":"Hao","family":"Fei","sequence":"additional","affiliation":[{"name":"School of Computing, National University of Singapore, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1816-1761","authenticated-orcid":false,"given":"Fei","family":"Li","sequence":"additional","affiliation":[{"name":"Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering, Wuhan University, Wuhan, Hubei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9063-3594","authenticated-orcid":false,"given":"Jingye","family":"Li","sequence":"additional","affiliation":[{"name":"Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering, Wuhan University, Wuhan, Hubei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0513-5540","authenticated-orcid":false,"given":"Bobo","family":"Li","sequence":"additional","affiliation":[{"name":"Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering, Wuhan University, Wuhan, Hubei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1502-6604","authenticated-orcid":false,"given":"Liang","family":"Zhao","sequence":"additional","affiliation":[{"name":"University of S&#x00E3;o Paulo, S&#x00E3;o Paulo, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-6543-2548","authenticated-orcid":false,"given":"Chong","family":"Teng","sequence":"additional","affiliation":[{"name":"Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering, Wuhan University, Wuhan, Hubei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9613-5927","authenticated-orcid":false,"given":"Donghong","family":"Ji","sequence":"additional","affiliation":[{"name":"Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering, Wuhan University, Wuhan, Hubei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1075\/li.30.1.03nad"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.2981314"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/1571941.1571989"},{"key":"ref4","first-page":"551","article-title":"Exploiting syntactico-semantic structures for relation extraction","volume-title":"Proc. 49th Annu. Meeting Assoc. Comput. Linguistics Hum. Lang. Technol.","author":"Chan"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.577"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1422"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.813"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.516"},{"key":"ref9","first-page":"1842","article-title":"Few-shot named entity recognition with entity-level prototypical network enhanced by dispersedly distributed prototypes","volume-title":"In Proc. 29th Int. Conf. Comput. Linguistics","author":"Ji"},{"key":"ref10","first-page":"2540","article-title":"See-few: Seed, expand and entail for few-shot named entity recognition","volume-title":"Proc. 29th Int. Conf. Comput. Linguistics","author":"Yang"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.findings-acl.161"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1810.04805"},{"key":"ref13","article-title":"RoBERTa: A robustly optimized bert pretraining approach","author":"Liu","year":"2019"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.703"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.221"},{"key":"ref16","first-page":"3233","article-title":"NSP-BERT: A prompt-based few-shot learner through an original pre-training task \u2014 next sentence prediction","volume-title":"Proc. 29th Int. Conf. Comput. Linguistics","author":"Sun"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.acl-short.8"},{"key":"ref18","first-page":"2374","article-title":"LightNER: A lightweight tuning paradigm for low-resource NER via pluggable prompting","volume-title":"Proc. 29th Int. Conf. Comput. Linguistics","author":"Chen"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-2039"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1396"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.acl-long.392"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.2307\/408741"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6386"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.243"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.aiopen.2023.08.012"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acllong.353"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.naacl-main.420"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.acl-long.439"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.128"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.findings-acl.155"},{"key":"ref31","first-page":"1877","article-title":"Language models are few-shot learners","volume-title":"Proc. 34th Int. Conf. Neural Inf. Process. Syst.","author":"Brown"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.acl-long.192"},{"key":"ref33","article-title":"OpenHowNet: An open sememe-based lexical knowledge base","author":"Qi","year":"2019"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1142\/5935"},{"issue":"2","key":"ref35","first-page":"59","article-title":"Word similarity computing based on HowNet","volume":"7","author":"Liu","year":"2002","journal-title":"Comput. Linguistics Chin. Lang. Process."},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.coling-main.155"},{"key":"ref37","first-page":"1619","article-title":"Employing morphological structures and sememes for Chinese event extraction","volume-title":"Proc. 24th Int. Conf. Comput. Linguistics","author":"Li"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1187"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1493"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11982"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1430"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32233-5_61"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1227"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1033"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1571"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.findings-emnlp.386"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.findings-acl.15"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.346"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.acl-long.158"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3511998"},{"key":"ref51","first-page":"1943","article-title":"KiPT: Knowledge-injected prompt tuning for event detection","volume-title":"Proc. 29th Int. Conf. Comput. Linguistics","author":"Li"},{"key":"ref52","first-page":"1","article-title":"Semi-supervised classification with graph convolutional networks","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Kipf"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.3115\/1119176.1119195"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W17-4418"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/ASRU.2013.6707708"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6639301"},{"key":"ref57","first-page":"73","article-title":"Introduction to the bio-entity recognition task at JNLPBA","volume-title":"Proc. Int. Joint Workshop Natural Lang. Process. Biomed. Appl.","author":"Collier"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.5555\/3294996.3295163"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.findings-emnlp.232"},{"key":"ref60","article-title":"Llama 2: Open foundation and fine-tuned chat models","author":"Touvron","year":"2023"},{"key":"ref61","first-page":"2515","article-title":"COPNER: Contrastive learning with prompt guiding for few-shot named entity recognition","volume-title":"Proc. 29th Int. Conf. Comput. Linguistics","author":"Huang"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-1030"},{"issue":"8","key":"ref63","article-title":"Language models are unsupervised multitask learners","volume":"1","author":"Radford","year":"2019","journal-title":"OpenAI Blog"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/69\/10709365\/10502152.pdf?arnumber=10502152","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,10]],"date-time":"2024-10-10T11:24:40Z","timestamp":1728559480000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10502152\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11]]},"references-count":63,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/tkde.2024.3389650","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":[[2024,11]]}}}