{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,25]],"date-time":"2025-11-25T06:07:30Z","timestamp":1764050850091,"version":"3.45.0"},"reference-count":48,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T00:00:00Z","timestamp":1759968000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T00:00:00Z","timestamp":1759968000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000006","name":"Office of Naval Research","doi-asserted-by":"publisher","award":["N00014-21-1-2286"],"award-info":[{"award-number":["N00014-21-1-2286"]}],"id":[{"id":"10.13039\/100000006","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,10,9]]},"DOI":"10.1109\/dsaa65442.2025.11247964","type":"proceedings-article","created":{"date-parts":[[2025,11,24]],"date-time":"2025-11-24T18:56:45Z","timestamp":1764010605000},"page":"1-10","source":"Crossref","is-referenced-by-count":0,"title":["Semi-Supervised Relation Extraction Informed by Area Under the Margin Ranking and Large Language Models"],"prefix":"10.1109","author":[{"given":"Nikita","family":"Gautam","sequence":"first","affiliation":[{"name":"Kansas State University,Department of Computer Science,Manhattan,Kansas,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bipin","family":"Paudel","sequence":"additional","affiliation":[{"name":"Kansas State University,Department of Computer Science,Manhattan,Kansas,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Doina","family":"Caragea","sequence":"additional","affiliation":[{"name":"Kansas State University,Department of Computer Science,Manhattan,Kansas,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cornelia","family":"Caragea","sequence":"additional","affiliation":[{"name":"University of Illinois Chicago,Department of Computer Science,Chicago,IL,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3329781.3332266"},{"key":"ref2","first-page":"798","article-title":"Link prediction using supervised learning","volume-title":"SDM06: workshop on link analysis, counterterrorism and security","volume":"30","author":"Al Hasan","year":"2006"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/d17-1186"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1004"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.naacl-main.190"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3241741"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2858821"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/acvmot.2005.107"},{"key":"ref9","article-title":"Self-supervised generalisation with meta auxiliary learning","volume":"32","author":"Liu","year":"2019","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref10","article-title":"Exploit multiple reference graphs for semisupervised relation extraction","author":"Li","year":"2020","journal-title":"arXiv preprint"},{"key":"ref11","article-title":"Semi-supervised relation extraction via incremental meta self-training","author":"Hu","year":"2020","journal-title":"arXiv preprint"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3539618.3592058"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s12559-024-10343-8"},{"key":"ref14","first-page":"17044","article-title":"Identifying mislabeled data using the area under the margin ranking","volume":"33","author":"Pleiss","year":"2020","journal-title":"Advances in Neural Inf. Processing Systems"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.findings-emnlp.350"},{"key":"ref16","article-title":"The llama 3 herd of models","author":"Dubey","year":"2024","journal-title":"arXiv preprint"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.emnlp-main.759"},{"key":"ref18","first-page":"1877","article-title":"Language models are few-shot learners","volume":"33","author":"Brown","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.18653\/vl\/N19-142"},{"key":"ref20","article-title":"Relation classification via recurrent neural network","author":"Zhang","year":"2015","journal-title":"arXiv preprint"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/p19-1279"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.emnlp-main.214"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.552"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.3115\/1621969.1621986"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1004"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/acvmot.2005.107"},{"key":"ref27","article-title":"Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results","volume":"30","author":"Tarvainen","year":"2017","journal-title":"Advances in NeurIPS"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313573"},{"key":"ref29","article-title":"Exploit multiple reference graphs for semisupervised relation extraction","author":"Li","year":"2020","journal-title":"arXiv preprint"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.216"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/BIBM55620.2022.9995416"},{"key":"ref32","first-page":"73","article-title":"Bidirectional long shortterm memory networks for relation classification","volume-title":"Proc. of the 29th Pacific Asia conf. on language, inf. and computation","author":"Zhang","year":"2015"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1203"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.141"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.299"},{"key":"ref36","article-title":"Exploit multiple reference graphs for semisupervised relation extraction","author":"Li","year":"2020","journal-title":"arXiv preprint"},{"key":"ref37","article-title":"Learning to self-train for semi-supervised few-shot classification","volume":"32","author":"Li","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref38","first-page":"1877","article-title":"Language models are few-shot learners","volume":"33","author":"Brown","year":"2020","journal-title":"NeurIPS 2020"},{"key":"ref39","article-title":"Qwen2 technical report","author":"Yang","year":"2024","journal-title":"arXiv preprint"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.emnlp-main.130"},{"key":"ref41","article-title":"Zero-shot information extraction via chatting with chatgpt","author":"Wei","year":"2023","journal-title":"arXiv preprint"},{"key":"ref42","first-page":"24824","article-title":"Chain-of-thought prompting elicits reasoning in large language models","volume":"35","author":"Wei","year":"2022","journal-title":"NeurIPS 2022"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.deelio-1.10"},{"key":"ref44","article-title":"Self-consistency improves chain of thought reasoning in language models","author":"Wang","year":"2022","journal-title":"arXiv preprint"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.deelio-1.10"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.608"},{"key":"ref47","article-title":"Learning to retrieve prompts for in-context learning","author":"Rubin","year":"2021","journal-title":"arXiv preprint"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1410"}],"event":{"name":"2025 IEEE 12th International Conference on Data Science and Advanced Analytics (DSAA)","start":{"date-parts":[[2025,10,9]]},"location":"Birmingham, United Kingdom","end":{"date-parts":[[2025,10,12]]}},"container-title":["2025 IEEE 12th International Conference on Data Science and Advanced Analytics (DSAA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11247920\/11247921\/11247964.pdf?arnumber=11247964","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,25]],"date-time":"2025-11-25T05:58:51Z","timestamp":1764050331000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11247964\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,9]]},"references-count":48,"URL":"https:\/\/doi.org\/10.1109\/dsaa65442.2025.11247964","relation":{},"subject":[],"published":{"date-parts":[[2025,10,9]]}}}