{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,19]],"date-time":"2026-01-19T11:06:37Z","timestamp":1768820797305,"version":"3.49.0"},"reference-count":14,"publisher":"Wiley","license":[{"start":{"date-parts":[[2019,2,24]],"date-time":"2019-02-24T00:00:00Z","timestamp":1550966400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61501515"],"award-info":[{"award-number":["61501515"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["172102210002"],"award-info":[{"award-number":["172102210002"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Project of Henan Provincial Key Scientific and Technology","award":["61501515"],"award-info":[{"award-number":["61501515"]}]},{"name":"Project of Henan Provincial Key Scientific and Technology","award":["172102210002"],"award-info":[{"award-number":["172102210002"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Security and Communication Networks"],"published-print":{"date-parts":[[2019,2,24]]},"abstract":"<jats:p>In order to obtain high quality and large-scale labelled data for information security research, we propose a new approach that combines a generative adversarial network with the BiLSTM-Attention-CRF model to obtain labelled data from crowd annotations. We use the generative adversarial network to find common features in crowd annotations and then consider them in conjunction with the domain dictionary feature and sentence dependency feature as additional features to be introduced into the BiLSTM-Attention-CRF model, which is then used to carry out named entity recognition in crowdsourcing. Finally, we create a dataset to evaluate our models using information security data. The experimental results show that our model has better performance than the other baseline models.<\/jats:p>","DOI":"10.1155\/2019\/6417407","type":"journal-article","created":{"date-parts":[[2019,2,24]],"date-time":"2019-02-24T18:31:46Z","timestamp":1551033106000},"page":"1-9","source":"Crossref","is-referenced-by-count":11,"title":["Multifeature Named Entity Recognition in Information Security Based on Adversarial Learning"],"prefix":"10.1155","volume":"2019","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8759-0784","authenticated-orcid":true,"given":"Han","family":"Zhang","sequence":"first","affiliation":[{"name":"Information Engineering University, Zhengzhou 450001, China"},{"name":"Zhengzhou University, Zhengzhou 450000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuanbo","family":"Guo","sequence":"additional","affiliation":[{"name":"Information Engineering University, Zhengzhou 450001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tao","family":"Li","sequence":"additional","affiliation":[{"name":"Information Engineering University, Zhengzhou 450001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"2","doi-asserted-by":"publisher","DOI":"10.3390\/info6040790"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1155\/2017\/4898963"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1136\/amiajnl-2013-002381"},{"issue":"2","key":"5","volume":"17","year":"2017","journal-title":"BMC Medical Informatics & Decision Making"},{"issue":"1","key":"7","doi-asserted-by":"crossref","first-page":"S1","DOI":"10.1186\/s13321-014-0049-z","volume":"7","year":"2015","journal-title":"Journal of Cheminformatics"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btx761"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/bty356"},{"issue":"1","key":"10","volume":"10","year":"2018","journal-title":"Journal of Cheminformatics"},{"key":"17","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-011-3488-0_5"},{"key":"25","doi-asserted-by":"publisher","DOI":"10.2307\/2346806"},{"key":"26","first-page":"39","year":"2010","journal-title":"Rule Based"},{"key":"28","first-page":"299","year":"2017","journal-title":"Meeting of the Association for Computational Linguistics"},{"key":"31","first-page":"5","volume":"31","year":"2016","journal-title":"IEEE Intelligent Systems"},{"key":"32","first-page":"3111","year":"2013","journal-title":"Advances in Neural Information Processing Systems"}],"container-title":["Security and Communication Networks"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/scn\/2019\/6417407.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/scn\/2019\/6417407.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/scn\/2019\/6417407.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,2,24]],"date-time":"2019-02-24T18:31:48Z","timestamp":1551033108000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/scn\/2019\/6417407\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,2,24]]},"references-count":14,"alternative-id":["6417407","6417407"],"URL":"https:\/\/doi.org\/10.1155\/2019\/6417407","relation":{},"ISSN":["1939-0114","1939-0122"],"issn-type":[{"value":"1939-0114","type":"print"},{"value":"1939-0122","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,2,24]]}}}