{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T23:00:09Z","timestamp":1778799609437,"version":"3.51.4"},"reference-count":42,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,8,8]],"date-time":"2022-08-08T00:00:00Z","timestamp":1659916800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,8,8]],"date-time":"2022-08-08T00:00:00Z","timestamp":1659916800000},"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":[[2022,8,8]]},"DOI":"10.1109\/inista55318.2022.9894270","type":"proceedings-article","created":{"date-parts":[[2022,9,23]],"date-time":"2022-09-23T16:08:46Z","timestamp":1663949326000},"page":"1-6","source":"Crossref","is-referenced-by-count":7,"title":["Biomedical Named Entity Recognition Using Transformers with biLSTM + CRF and Graph Convolutional Neural Networks"],"prefix":"10.1109","author":[{"given":"Gokberk","family":"Celikmasat","sequence":"first","affiliation":[{"name":"Marmara University,Computer Engineering Department,Istanbul,Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Muhammed","family":"Enes Akturk","sequence":"additional","affiliation":[{"name":"Marmara University,Computer Engineering Department,Istanbul,Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yunus","family":"Emre Ertunc","sequence":"additional","affiliation":[{"name":"Marmara University,Computer Engineering Department,Istanbul,Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Abdul","family":"Majeed Issifu","sequence":"additional","affiliation":[{"name":"Marmara University,Computer Engineering Department,Istanbul,Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Murat","family":"Can Ganiz","sequence":"additional","affiliation":[{"name":"Marmara University,VeriUs Teknoloji,Computer Engineering Department,Istanbul,Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.bionlp-1.16"},{"key":"ref38","article-title":"Scifive: a text-to-text transformer model for biomedical literature","author":"phan","year":"2021"},{"key":"ref33","article-title":"Graph convolutional matrix completion","author":"berg","year":"2017"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-1030"},{"key":"ref31","article-title":"BiLSTM-CRF network bilstm-crf network for ner","year":"0"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btx761"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.bionlp-1.20"},{"key":"ref36","article-title":"Bilstm-crf for persian named-entity recognition armanpersonercorpus: the first entity-annotated persian dataset","author":"poostchi","year":"2018","journal-title":"LREC"},{"key":"ref35","article-title":"Named entity recognition from synthesis procedural text in materials science domain with attention-based approach","author":"yang","year":"2021","journal-title":"SDU AAAI"},{"key":"ref34","article-title":"Semi-supervised classification with graph convolutional networks","author":"kipf","year":"2016"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.2981314"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1371"},{"key":"ref11","first-page":"254","article-title":"A feature based simple machine learning approach with word embeddings to named entity recognition on tweets","author":"ta?p?nar","year":"2017","journal-title":"International Conference on Applications of Natural Language to Information Systems"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W17-4421"},{"key":"ref14","article-title":"Bert: Pre-training of deep bidirectional transformers for language understanding","author":"devlin","year":"2018"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"1234","DOI":"10.1093\/bioinformatics\/btz682","article-title":"Biobert: a pre-trained biomedical language representation model for biomedical text mining","volume":"36","author":"lee","year":"2020","journal-title":"Bioinformatics"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/UBMK52708.2021.9558986"},{"key":"ref17","article-title":"Bidirectional lstm-crf models for sequence tagging","author":"huang","year":"2015"},{"key":"ref18","article-title":"Focusing on possible named entities in active named entity label acquisition","author":"sapci","year":"2021"},{"key":"ref19","article-title":"Graph convolutional networks for named entity recognition","author":"cetoli","year":"2017"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1186\/gb-2008-9-s2-s2"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1197\/jamia.M2444"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0065390"},{"key":"ref3","first-page":"8","article-title":"International classification of diseases 10th edition (icd-10)","volume":"25","author":"tzitzivacos","year":"2007","journal-title":"CME Your SA Journal of CPD"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s10796-016-9641-2"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.3390\/s20195606"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3390\/ijms18020412"},{"key":"ref8","article-title":"Conditional random fields: Probabilistic models for segmenting and labeling sequence data","author":"lafferty","year":"2001"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1515\/jib-2017-0030"},{"key":"ref2","article-title":"A survey on recent advances in named entity recognition from deep learning models","author":"yadav","year":"2019"},{"key":"ref9","first-page":"591","article-title":"Maximum entropy markov models for information extraction and segmentation","volume":"17","author":"mccallum","year":"2000","journal-title":"ICML"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3115\/1567594.1567618"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1159"},{"key":"ref22","article-title":"Word translation without parallel data","author":"conneau","year":"2017"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1186\/s12859-021-04247-9"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1142\/9789811215636_0027"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2013.12.006"},{"key":"ref41","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41597-019-0055-0","article-title":"Biowordvec, improving biomedical word embeddings with subword information and mesh","volume":"6","author":"zhang","year":"2019","journal-title":"Scientific Data"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1493"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.3115\/1567594.1567610"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1093\/database\/baw068"}],"event":{"name":"2022 International Conference on INnovations in Intelligent SysTems and Applications (INISTA)","location":"Biarritz, France","start":{"date-parts":[[2022,8,8]]},"end":{"date-parts":[[2022,8,12]]}},"container-title":["2022 International Conference on INnovations in Intelligent SysTems and Applications (INISTA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9894048\/9894049\/09894270.pdf?arnumber=9894270","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,20]],"date-time":"2023-02-20T03:43:29Z","timestamp":1676864609000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9894270\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,8]]},"references-count":42,"URL":"https:\/\/doi.org\/10.1109\/inista55318.2022.9894270","relation":{},"subject":[],"published":{"date-parts":[[2022,8,8]]}}}