{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T11:09:36Z","timestamp":1730200176591,"version":"3.28.0"},"reference-count":9,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,12,6]],"date-time":"2022-12-06T00:00:00Z","timestamp":1670284800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,12,6]],"date-time":"2022-12-06T00:00:00Z","timestamp":1670284800000},"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":[],"published-print":{"date-parts":[[2022,12,6]]},"DOI":"10.1109\/bibm55620.2022.9995320","type":"proceedings-article","created":{"date-parts":[[2023,1,2]],"date-time":"2023-01-02T19:09:24Z","timestamp":1672686564000},"page":"777-780","source":"Crossref","is-referenced-by-count":0,"title":["S<sup>3<\/sup>AAL: Support Set Selection based on Adversarial Active Learning for Medical Few-Shot Relation Extraction"],"prefix":"10.1109","author":[{"given":"Qingyao","family":"Li","sequence":"first","affiliation":[{"name":"Harbin Institute of Technology (Shenzhen),Department of Computer Science,Shenzhen,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hui","family":"Xu","sequence":"additional","affiliation":[{"name":"Gennlife (Beijing) Technology Co Ltd,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hui","family":"Wang","sequence":"additional","affiliation":[{"name":"Gennlife (Beijing) Technology Co Ltd,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Buzhou","family":"Tang","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology (Shenzhen),Department of Computer Science,Shenzhen,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.204"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1279"},{"key":"ref3","article-title":"Prototypical networks for few-shot learning","volume":"30","author":"Snell","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btz682"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206627"},{"article-title":"Overview of drugprot biocreative vii track: quality evaluation and large scale text mining of drug-gene\/protein relations","volume-title":"Proceedings of the seventh BioCreative challenge evaluation workshop","author":"Miranda","key":"ref6"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1649"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1136\/amiajnl-2011-000203"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1093\/jamia\/ocz166"}],"event":{"name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","start":{"date-parts":[[2022,12,6]]},"location":"Las Vegas, NV, USA","end":{"date-parts":[[2022,12,8]]}},"container-title":["2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9994793\/9994847\/09995320.pdf?arnumber=9995320","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T12:51:10Z","timestamp":1706791870000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9995320\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,6]]},"references-count":9,"URL":"https:\/\/doi.org\/10.1109\/bibm55620.2022.9995320","relation":{},"subject":[],"published":{"date-parts":[[2022,12,6]]}}}