{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,22]],"date-time":"2024-10-22T22:54:21Z","timestamp":1729637661787,"version":"3.28.0"},"reference-count":34,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"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":[[2019,7]]},"DOI":"10.1109\/ijcnn.2019.8852113","type":"proceedings-article","created":{"date-parts":[[2019,9,30]],"date-time":"2019-09-30T23:44:32Z","timestamp":1569887072000},"page":"1-8","source":"Crossref","is-referenced-by-count":7,"title":["Chinese Clinical Named Entity Recognition with Word-Level Information Incorporating Dictionaries"],"prefix":"10.1109","author":[{"given":"Ningjie","family":"Lu","sequence":"first","affiliation":[]},{"given":"Jun","family":"Zheng","sequence":"additional","affiliation":[]},{"given":"Wen","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Yan","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Kaiwei","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Wenxin","family":"Hu","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref33","first-page":"55","article-title":"Recurrent neural networks with specialized word embedding for chinese clinical named entity recognition","volume":"1976","author":"li","year":"0","journal-title":"CEUR Workshop Proceedings"},{"article-title":"Adam: A method for stochastic optimization","year":"2014","author":"kingma","key":"ref32"},{"key":"ref31","first-page":"2055","article-title":"Chinese named entity recognition with character-word mixed embedding","author":"xiang","year":"2017","journal-title":"proceedings of Conference on Information and Knowledge Management"},{"key":"ref30","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v32i1.11959","article-title":"Neural networks incorporating dictionaries for chinese word segmentation","author":"zhang","year":"2018","journal-title":"AAAI"},{"key":"ref34","first-page":"26","article-title":"Hitsz cner: A hybrid system for entity recognition from chinese clinical text","author":"hu","year":"2017","journal-title":"Knowledge Graph and Semantic Computing"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-78624-5_2"},{"key":"ref11","first-page":"85","article-title":"A hybrid model for named entity recognition using unstructured medical text","author":"keretna","year":"2014","journal-title":"System of Systems Engineering"},{"key":"ref12","first-page":"42","article-title":"Overview on the advance of the research on named entity recognition","volume":"26","author":"huilin","year":"2010","journal-title":"Data Analysis and Knowledge Discovery"},{"article-title":"Nymble: a high-performance learning name-finder","year":"1998","author":"bikel","key":"ref13"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007558221122"},{"key":"ref15","article-title":"A maximum entropy approach to named entity recognition","author":"borthwick","year":"1999","journal-title":"Ph D Dissertation"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3115\/1119176.1119206"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/WISA.2017.8"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/IWBIS.2017.8275103"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/SKG.2011.24"},{"article-title":"Incorporating dictionaries into deep neural networks for the chinese clinical named entity recognition","year":"2018","author":"wang","key":"ref28"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/1066677.1066919"},{"key":"ref27","first-page":"43","article-title":"Clinical named entity recognition: Ecust in the ccks-2017 shared task 2","volume":"1976","author":"xia","year":"0","journal-title":"CEUR Workshop Proceedings"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3115\/1609822.1609823"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/SMC.2014.6974324"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/BIBM.2018.8621360"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2105-6-S1-S14"},{"article-title":"Robust lexical features for improved neural network named-entity recognition","year":"2018","author":"ghaddar","key":"ref8"},{"article-title":"Bidirectional LSTM-CRF models for sequence tagging","year":"2015","author":"huang","key":"ref7"},{"key":"ref2","first-page":"83","article-title":"Pseudo relevance feedback using named entities for question answering","author":"pizzato","year":"2006","journal-title":"Proceedings of the 2006 Australasian Language Technology Workshop"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2009.07.007"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cosrev.2018.06.001"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.3115\/1072228.1072282"},{"key":"ref22","first-page":"56","article-title":"Medical entity recognition: A comparison of semantic and statistical methods","author":"abacha","year":"2011","journal-title":"Proceedings of BioNLP 2011 Workshop"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/E14-3003"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/HealthCom.2017.8210840"},{"key":"ref23","first-page":"355","article-title":"A bidirectional lstm and conditional random fields approach to medical named entity recognition","author":"xu","year":"2017","journal-title":"International Conference on Advanced Intelligent Systems and Informatics"},{"key":"ref26","first-page":"37","article-title":"Exploring n-gram character presentation in Bi-directional RNN-CRF for Chinese clinical named entity recognition","volume":"1976","author":"ouyang","year":"0","journal-title":"CEUR Workshop Proceedings"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01716-3_31"}],"event":{"name":"2019 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2019,7,14]]},"location":"Budapest, Hungary","end":{"date-parts":[[2019,7,19]]}},"container-title":["2019 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8840768\/8851681\/08852113.pdf?arnumber=8852113","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,20]],"date-time":"2023-09-20T23:16:42Z","timestamp":1695251802000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8852113\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7]]},"references-count":34,"URL":"https:\/\/doi.org\/10.1109\/ijcnn.2019.8852113","relation":{},"subject":[],"published":{"date-parts":[[2019,7]]}}}