{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T14:31:10Z","timestamp":1774449070676,"version":"3.50.1"},"reference-count":75,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,6,6]],"date-time":"2022-06-06T00:00:00Z","timestamp":1654473600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,6,6]],"date-time":"2022-06-06T00:00:00Z","timestamp":1654473600000},"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":[[2022,6,6]]},"DOI":"10.1109\/aiiot54504.2022.9817231","type":"proceedings-article","created":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T15:41:02Z","timestamp":1657726862000},"page":"218-224","source":"Crossref","is-referenced-by-count":13,"title":["A Survey on Deep Learning Techniques for Joint Named Entities and Relation Extraction"],"prefix":"10.1109","author":[{"given":"Mina Esmail","family":"Zadeh Nojoo Kambar","sequence":"first","affiliation":[{"name":"University of Nevada Las Vegas,Las Vegas,NV,USA"}]},{"given":"Armin","family":"Esmaeilzadeh","sequence":"additional","affiliation":[{"name":"University of Nevada Las Vegas,Las Vegas,NV,USA"}]},{"given":"Maryam","family":"Heidari","sequence":"additional","affiliation":[{"name":"George Mason University,Virginia,USA"}]}],"member":"263","reference":[{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.06.061"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33016300"},{"key":"ref71","first-page":"111","article-title":"Automated identification of social media bots using deep fake text detection","author":"saravani","year":"0","journal-title":"International Conference on Information Systems Security"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1131"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.23915\/distill.00032"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ISI49825.2020.9280487"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-84529-2_39"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-10464-0_45"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-76298-0_52"},{"key":"ref32","article-title":"Creating training corpora for nlg micro-planning","author":"gardent","year":"0","journal-title":"Annu Meeting of the Association for Computational Linguistics (ACL)"},{"key":"ref31","author":"ntroduction","year":"0","journal-title":"The ACE 2005 (ACE 05) Evaluation Plan Evaluation of the Detection and Recognition of ACE Entities Values Temporal Expressions Relations and Events 1"},{"key":"ref30","first-page":"3219","article-title":"Multitask identification of entities, relations, and coreference for scientific knowledge graph construction","author":"luan","year":"0","journal-title":"Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing"},{"key":"ref37","first-page":"2537","article-title":"Table filling multi-task recurrent neural network for joint entity and relation extraction","author":"gupta","year":"0","journal-title":"Proceedings of COLING 2016 the 26th International Conference on Computational Linguistics Technical Papers"},{"key":"ref36","first-page":"95","article-title":"Factor-based compositional embedding models","author":"yu","year":"0","journal-title":"NIPS Workshop on Learning Semantics"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052708"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1105"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6374"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2021.09.028"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2020.103384"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1307"},{"key":"ref28","first-page":"arxiv-1906","author":"yao","year":"2019","journal-title":"Docred A large-scale document-level relation extraction dataset"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.32604\/jihpp.2019.06357"},{"key":"ref27","article-title":"Linguistic Resources for 2013 Knowledge Base Population Evaluations","author":"ellis","year":"2012","journal-title":"TAC"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1136"},{"key":"ref66","doi-asserted-by":"crossref","first-page":"106888","DOI":"10.1016\/j.knosys.2021.106888","article-title":"Representation iterative fusion based on heterogeneous graph neural network for joint entity and relation extraction","volume":"219","author":"zhao","year":"2021","journal-title":"Knowledge-Based Systems"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S18-1111"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.12.075"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1080\/0952813X.2020.1744198"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1047"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-16-2377-6_48"},{"key":"ref1","article-title":"A survey of deep learning methods for relation extraction","author":"kumar","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref20","first-page":"684","article-title":"UColorado_SOM: extraction of drug-drug interactions from biomedical text using knowledge-rich and knowledge-poor features","author":"hailu","year":"0","journal-title":"Second Joint Conference on Lexical and Computational Semantics (* SEM) Volume 2 Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013)"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-2016"},{"key":"ref21","article-title":"Overview of drugprot biocreative vii track: quality evaluation and large scale text mining of drug-gene\/protein relations","author":"miranda","year":"0","journal-title":"Proceedings of the seventh BioCreative challenge evaluation work-shop"},{"key":"ref24","first-page":"1","article-title":"Ace 2004 mul-tilingual training corpus","volume":"1","author":"mitchell","year":"2005","journal-title":"Linguistic Data Consortium Philadelphia"},{"key":"ref23","article-title":"A linear programming formulation for global inference in natural language tasks","author":"roth","year":"2004","journal-title":"Tech Rep CS Dept Univ of Illinois at Urbana-Champaign"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1145"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-15939-8_10"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ISTAS50296.2020.9462170"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/BigData52589.2021.9671740"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/561"},{"key":"ref58","article-title":"Joint extraction of entities and relations based on a novel decomposition strategy","author":"yu","year":"2019","journal-title":"ArXiv Preprint"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1038\/sdata.2016.35"},{"key":"ref56","article-title":"SNOMED CT:Browsing the Browsers","volume":"410","author":"rogers","year":"2008","journal-title":"Proceedings of the Third International Conference on Knowledge Representation in Medicine"},{"key":"ref55","article-title":"Clinical concept extraction with contextual word embedding","author":"zhu","year":"2018","journal-title":"ArXiv Preprint"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1202"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/UEMCON53757.2021.9666618"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-80285-1_13"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3445965"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3241741"},{"key":"ref40","article-title":"A novel cascade binary tagging framework for relational triple extraction","author":"wei","year":"2019","journal-title":"ArXiv Preprint"},{"key":"ref12","article-title":"A short survey of biomedical relation extraction techniques","author":"shahab","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref13","article-title":"Chemical-gene relation extraction with graph neural networks and bert encoder","author":"esmail zadeh nojoo kambar","year":"0","journal-title":"2022 International Conference on Innovations in Computing Research (ICR'22)"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1080\/24725579.2021.1995536"},{"key":"ref15","article-title":"Relation extraction: A survey","author":"pawar","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btg1023"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2105-8-50"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2012.04.008"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btw486"},{"key":"ref4","author":"dheir","year":"2019","journal-title":"Knowledge Based System for Diabetes Diagnosis Using SL5 Object"},{"key":"ref3","author":"dahouk","year":"2018","journal-title":"A Proposed Knowledge Based System for Desktop PC Troubleshooting"},{"key":"ref6","article-title":"A survey on open information extraction","author":"niklaus","year":"2018","journal-title":"ArXiv Preprint"},{"key":"ref5","article-title":"A survey on recent advances in named entity recognition from deep learning models","author":"yadav","year":"2019","journal-title":"ArXiv Preprint"},{"key":"ref8","first-page":"1476","author":"wei","year":"2020","journal-title":"A novel cascade binary tagging framework for relational triple extraction"},{"key":"ref7","first-page":"551","article-title":"Exploiting syntactico-semantic structures for relation extraction","author":"chan","year":"0","journal-title":"Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics Human Language Technologies"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/IEMTRONICS52119.2021.9422605"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3451471.3451506"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.insights-1.15"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-82199-9_12"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW51313.2020.00071"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/UEMCON51285.2020.9298158"},{"key":"ref42","article-title":"BiTT: Bidirectional Tree Tagging for Joint Extraction of Overlapping Entities and Relations","author":"luo","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449895"},{"key":"ref44","first-page":"4171","article-title":"Bert: Pre-training of deep bidirectional transformers for language understanding","author":"devlin","year":"2019","journal-title":"Proceedings of the 2019 Conference of the North A merican Chapter of the Association for Computational Linguistics Human Language Technologies Volume 1 (Long and Short Papers)"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1585"}],"event":{"name":"2022 IEEE World AI IoT Congress (AIIoT)","location":"Seattle, WA, USA","start":{"date-parts":[[2022,6,6]]},"end":{"date-parts":[[2022,6,9]]}},"container-title":["2022 IEEE World AI IoT Congress (AIIoT)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9817098\/9817144\/09817231.pdf?arnumber=9817231","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,4]],"date-time":"2022-08-04T20:40:05Z","timestamp":1659645605000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9817231\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,6]]},"references-count":75,"URL":"https:\/\/doi.org\/10.1109\/aiiot54504.2022.9817231","relation":{},"subject":[],"published":{"date-parts":[[2022,6,6]]}}}