{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T05:28:19Z","timestamp":1730266099908,"version":"3.28.0"},"reference-count":41,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"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":[[2022,7,18]]},"DOI":"10.1109\/ijcnn55064.2022.9892324","type":"proceedings-article","created":{"date-parts":[[2022,9,30]],"date-time":"2022-09-30T19:56:04Z","timestamp":1664567764000},"page":"01-08","source":"Crossref","is-referenced-by-count":0,"title":["A Novel Gradient Accumulation Method for Calibration of Named Entity Recognition Models"],"prefix":"10.1109","author":[{"given":"Gregor","family":"Jouet","sequence":"first","affiliation":[{"name":"P&#x00F4;le Universitaire L&#x00E9;onard de Vinci,Research Center,La D&#x00E9;fense,France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Clement","family":"Duhart","sequence":"additional","affiliation":[{"name":"P&#x00F4;le Universitaire L&#x00E9;onard de Vinci,Research Center,La D&#x00E9;fense,France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jacopo","family":"Staiano","sequence":"additional","affiliation":[{"name":"reciTAL,Paris,France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Francis","family":"Rousseaux","sequence":"additional","affiliation":[{"name":"URCA CReSTIC, Moulin de la Housse,Reims,France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cyril","family":"de Runz","sequence":"additional","affiliation":[{"name":"University of Tours, LIFAT, BdTLN,Tours,France"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","first-page":"609","article-title":"Obtaining calibrated probability estimates from decision trees and naive Bayesian classifiers","author":"zadrozny","year":"0","journal-title":"Proc of ICML2021"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.84"},{"key":"ref33","article-title":"Introduction to the CoNLL-2002 Shared Task: Language-Independent Named Entity Recognition","author":"sang","year":"0","journal-title":"COLING-02 The 6th Conference on Natural Language Learning 2002 (CoNLL-2002)"},{"key":"ref32","first-page":"13969","article-title":"Can you trust your model's uncertainty? Evaluating predictive uncertainty under dataset shift","author":"snoek","year":"2019","journal-title":"NeurIPS 2019"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-019-0197-0"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00924"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-demos.6"},{"key":"ref36","first-page":"5998","article-title":"Attention is All you Need","author":"vaswani","year":"2017","journal-title":"NeurIPS2017"},{"key":"ref35","first-page":"3459","article-title":"Evaluating model calibration in classification","volume":"89","author":"vaicenavicius","year":"0","journal-title":"AISTATS 2019"},{"key":"ref34","article-title":"Towards Trust-worthy Predictions from Deep Neural Networks with Fast Adversarial Calibration","author":"tomani","year":"0","journal-title":"AAAI 2021"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/1571941.1571989"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/s10579-016-9343-x"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00068"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00407"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.242"},{"key":"ref14","article-title":"Improving model calibration with accuracy versus uncertainty optimization","author":"krishnan","year":"2020","journal-title":"NeurIPS"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-23528-8_5"},{"key":"ref16","first-page":"3787","article-title":"Verified Uncertainty Calibration","author":"kumar","year":"2019","journal-title":"NeurIPS2019"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00171"},{"key":"ref18","article-title":"Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples","author":"lee","year":"0","journal-title":"Proc of ICLR"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-64221-1_16"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/1321440.1321542"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.21"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1178"},{"key":"ref3","article-title":"Explicit Regularisation in Gaussian Noise Injections","author":"camuto","year":"2020","journal-title":"NeurIPS 2020"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2013.12.006"},{"journal-title":"Human-AI Interaction in the Presence of Ambiguity From Deliberation-based Labeling to Ambiguity-aware AI","year":"2020","author":"mike","key":"ref29"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.18653\/v11N19-1423"},{"key":"ref8","article-title":"Explaining and Harnessing Adversarial Examples","author":"goodfellow","year":"0","journal-title":"Proc of ICLR"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.findings-acl.84"},{"key":"ref2","article-title":"On the Opportunities and Risks of Foundation Models","author":"bommasani","year":"2021","journal-title":"ArXiv"},{"key":"ref9","first-page":"1321","article-title":"On Calibration of Modern Neural Networks","volume":"70","author":"guo","year":"0","journal-title":"Proc of ICML"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W17-4419"},{"key":"ref20","first-page":"13132","article-title":"A Simple Baseline for Bayesian Uncertainty in Deep Learning","author":"maddox","year":"2019","journal-title":"NeurIPS 2019"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-92310-5_42"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3477140"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1182"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1118\/1.3213517"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1175\/1520-0450(1973)012<0595:ANVPOT>2.0.CO;2"},{"key":"ref26","first-page":"5109","article-title":"Regularizing Deep Neural Networks by Noise: Its Interpretation and Optimization","author":"noh","year":"2017","journal-title":"NeurIPS 2017"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/1102351.1102430"}],"event":{"name":"2022 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2022,7,18]]},"location":"Padua, Italy","end":{"date-parts":[[2022,7,23]]}},"container-title":["2022 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9891857\/9889787\/09892324.pdf?arnumber=9892324","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,3]],"date-time":"2022-11-03T23:00:48Z","timestamp":1667516448000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9892324\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,18]]},"references-count":41,"URL":"https:\/\/doi.org\/10.1109\/ijcnn55064.2022.9892324","relation":{},"subject":[],"published":{"date-parts":[[2022,7,18]]}}}