{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,14]],"date-time":"2026-02-14T01:54:59Z","timestamp":1771034099041,"version":"3.50.1"},"reference-count":20,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,5,5]],"date-time":"2021-05-05T00:00:00Z","timestamp":1620172800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,5,5]],"date-time":"2021-05-05T00:00:00Z","timestamp":1620172800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,5,5]],"date-time":"2021-05-05T00:00:00Z","timestamp":1620172800000},"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":[[2021,5,5]]},"DOI":"10.1109\/cscwd49262.2021.9437858","type":"proceedings-article","created":{"date-parts":[[2021,5,28]],"date-time":"2021-05-28T16:48:36Z","timestamp":1622220516000},"page":"262-267","source":"Crossref","is-referenced-by-count":16,"title":["A Method for Extracting Unstructured Threat Intelligence Based on Dictionary Template and Reinforcement Learning"],"prefix":"10.1109","author":[{"given":"Xuren","family":"Wang","sequence":"first","affiliation":[]},{"given":"Rong","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Binghua","family":"Song","sequence":"additional","affiliation":[]},{"given":"Jie","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Zhengwei","family":"Jiang","sequence":"additional","affiliation":[]},{"given":"Xiaoqing","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Xiaomeng","family":"Li","sequence":"additional","affiliation":[]},{"given":"Shengqin","family":"Ao","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","first-page":"572","article-title":"Threat Intelligence Relationship Extraction Based on Distant Supervision and Reinforcement Learning","author":"wang","year":"2020","journal-title":"SEKE 2020"},{"key":"ref11","year":"2014","journal-title":"The Zoo The Zoo aka Malware DB[EB\/OL]"},{"key":"ref12","author":"ruike","year":"2019","journal-title":"1999–2018 Security Vulnerability Dat a Set [EB\/OL]"},{"key":"ref13","first-page":"282","article-title":"Conditional random fields: Probabilistic models for segmenting and labeling sequence data","author":"lafferty","year":"2017","journal-title":"Proceedings of the Eighteenth International Conference on Machine Learning"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00104"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1101"},{"key":"ref17","first-page":"102","article-title":"Chinese named entity recognition method based on BERT-IDCN N-CRF","volume":"55","author":"ni","year":"2020","journal-title":"Journal of Shandong University (Science Edition)"},{"key":"ref18","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v32i1.12006","article-title":"Empower sequence labeling with task-aware neural language model","author":"liu","year":"2018","journal-title":"Thirty-Second AAAI Conference on Artificial Intelligence"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1200"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-016-2265-0"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/2976749.2978315"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s10586-017-0813-8"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ASONAM.2016.7752338"},{"key":"ref8","first-page":"458","article-title":"Chainsmith: Automatically learning the semantics of malicious campaigns by mining threat intelligence reports","author":"zhu","year":"2017","journal-title":"2018 IEEE European Symposium on Security and Privacy (EuroS&P) IEEE"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3029806.3029811"},{"key":"ref2","first-page":"129","article-title":"Open source intelligence","volume":"42","author":"steele","year":"2007","journal-title":"Handbook of Intelligence Studies"},{"key":"ref1","year":"2016","journal-title":"Introduction to Intelligence Threat [EB\/OL]"},{"key":"ref9","article-title":"Joint Learning for Document-Level Threat Intelligence Relation Extraction and Coreference Resolution Based on GCN","author":"wang","year":"2020","journal-title":"TrustCom 2020"},{"key":"ref20","first-page":"856","article-title":"Reinforcement learning for relation classification from noisy data[C]","author":"feng","year":"2018","journal-title":"Thirty-Second AAAI Conference on Artificial Intelligence"}],"event":{"name":"2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","location":"Dalian, China","start":{"date-parts":[[2021,5,5]]},"end":{"date-parts":[[2021,5,7]]}},"container-title":["2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9437608\/9437628\/09437858.pdf?arnumber=9437858","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,28]],"date-time":"2022-12-28T19:56:17Z","timestamp":1672257377000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9437858\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,5]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/cscwd49262.2021.9437858","relation":{},"subject":[],"published":{"date-parts":[[2021,5,5]]}}}