{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T11:27:04Z","timestamp":1762342024501,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":26,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,9,23]],"date-time":"2022-09-23T00:00:00Z","timestamp":1663891200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Project of safety enhancement protection equipment for CNC machine tools","award":["No.KY10600220013"],"award-info":[{"award-number":["No.KY10600220013"]}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["No.3072022TS0604"],"award-info":[{"award-number":["No.3072022TS0604"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"name":"the Basic Research Program","award":["No.JCKY2019604B002"],"award-info":[{"award-number":["No.JCKY2019604B002"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,9,23]]},"DOI":"10.1145\/3568199.3568217","type":"proceedings-article","created":{"date-parts":[[2023,3,6]],"date-time":"2023-03-06T12:14:02Z","timestamp":1678104842000},"page":"111-118","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Lexicon-matched Word Injection for Chinese NER"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3669-8696","authenticated-orcid":false,"given":"Qingyu","family":"Wang","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Harbin Engineering University, China and \rWuhan Sanjiang Aerospace Network Communication Co. LTD, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3339-1648","authenticated-orcid":false,"given":"Guokai","family":"Sun","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Harbin Engineering University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6656-2191","authenticated-orcid":false,"given":"Jianguo","family":"Sun","sequence":"additional","affiliation":[{"name":"Cyberspace Security Lab, Xidian University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4792-1985","authenticated-orcid":false,"given":"Yuan","family":"Zhuang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Harbin Engineering University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9362-372X","authenticated-orcid":false,"given":"Lu","family":"Li","sequence":"additional","affiliation":[{"name":"Network Security Department, Defence Industry Secrecy Examination and Certification Center, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0384-4538","authenticated-orcid":false,"given":"Tianyi","family":"Gao","sequence":"additional","affiliation":[{"name":"Network Security Technology Application Center, Wuhan Sanjiang Aerospace Network Communication Co. LTD, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,3,6]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-017-1100-y"},{"key":"e_1_3_2_1_2_1","first-page":"274","volume-title":"InSIGIR","author":"Guo Jiafeng","year":"2009","unstructured":"Jiafeng Guo , Gu Xu , Xueqi Cheng , and Hang Li . Named entity recognition in query . InSIGIR , pages 267\u2013 274 , 2009 . Jiafeng Guo, Gu Xu, Xueqi Cheng, and Hang Li. Named entity recognition in query. InSIGIR, pages 267\u2013274,2009."},{"key":"e_1_3_2_1_3_1","volume-title":"Improved named entity recognition using machine translation-based cross-lingual information.Computaci\u00f3n y Sistemas, 20(3):495\u2013504","author":"Dandapat Sandipan","year":"2016","unstructured":"Sandipan Dandapat and Andy Way . Improved named entity recognition using machine translation-based cross-lingual information.Computaci\u00f3n y Sistemas, 20(3):495\u2013504 , 2016 . Sandipan Dandapat and Andy Way. Improved named entity recognition using machine translation-based cross-lingual information.Computaci\u00f3n y Sistemas, 20(3):495\u2013504, 2016."},{"key":"e_1_3_2_1_4_1","first-page":"1564","volume-title":"InACL","author":"Zhang Y","year":"2018","unstructured":"Y ue Zhang and Jie Y ang. Chinese NER using lattice LSTM . InACL , pages 1554\u2013 1564 , 2018 . Y ue Zhang and Jie Y ang. Chinese NER using lattice LSTM. InACL, pages 1554\u20131564, 2018."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00104"},{"key":"e_1_3_2_1_6_1","first-page":"2389","volume-title":"InNAACL","author":"Liu Wei","year":"2019","unstructured":"Wei Liu , Tongge Xu , Qinghua Xu , Jiayu Song , and Y ueran Zu . An encoding strategy based word-character lstm for chinese ner . InNAACL , pages 2379\u2013 2389 , 2019 . Wei Liu, Tongge Xu, Qinghua Xu, Jiayu Song, and Y ueran Zu. An encoding strategy based word-character lstm for chinese ner. InNAACL, pages 2379\u20132389, 2019."},{"key":"e_1_3_2_1_7_1","volume-title":"Tibetan word segmentation method based on BiLSTM_CRF model[J]","author":"WANG L L,WANG H Y,BAIMA Q","year":"2020","unstructured":"WANG L L,WANG H Y,BAIMA Q Z, Tibetan word segmentation method based on BiLSTM_CRF model[J] . Journal of Chongqing University of Posts and Telecommunications(Natutal Science Edition) , 2020 ,32(4):648-654 WANG L L,WANG H Y,BAIMA Q Z,et al. Tibetan word segmentation method based on BiLSTM_CRF model[J].Journal of Chongqing University of Posts and Telecommunications(Natutal Science Edition),2020,32(4):648-654"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"crossref","first-page":"102282","DOI":"10.1016\/j.artmed.2022.102282","article-title":"Chinese clinical named entity recognition via multi-head self-attention based BiLSTM-CRF","volume":"127","author":"An Ying","year":"2022","unstructured":"Ying An , Xianyun Xia , Xianlai Chen , Fang-Xiang Wu , Jianxin Wang , Chinese clinical named entity recognition via multi-head self-attention based BiLSTM-CRF , Artificial Intelligence in Medicine , Volume 127 , 2022 , 102282 , ISSN 0933-3657, https:\/\/doi.org\/10.1016\/j.artmed.2022.102282. 10.1016\/j.artmed.2022.102282 Ying An, Xianyun Xia, Xianlai Chen, Fang-Xiang Wu, Jianxin Wang, Chinese clinical named entity recognition via multi-head self-attention based BiLSTM-CRF, Artificial Intelligence in Medicine, Volume 127, 2022, 102282, ISSN 0933-3657, https:\/\/doi.org\/10.1016\/j.artmed.2022.102282.","journal-title":"Artificial Intelligence in Medicine"},{"key":"e_1_3_2_1_9_1","first-page":"979","volume-title":"Speech, and Language Processing","author":"P. Zhu","year":"2022","unstructured":"P. Zhu , \" Improving Chinese Named Entity Recognition by Large-Scale Syntactic Dependency Graph ,\" in IEEE\/ ACM Transactions on Audio , Speech, and Language Processing , vol. 30 , pp. 979 - 991 , 2022 , doi: 10.1109\/TASLP.2022.3153261. 10.1109\/TASLP.2022.3153261 P. Zhu , \"Improving Chinese Named Entity Recognition by Large-Scale Syntactic Dependency Graph,\" in IEEE\/ACM Transactions on Audio, Speech, and Language Processing, vol. 30, pp. 979-991, 2022, doi: 10.1109\/TASLP.2022.3153261."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"crossref","first-page":"0125","DOI":"10.1109\/CCWC54503.2022.9720911","volume-title":"2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC)","author":"J. Wang","year":"2022","unstructured":"J. Wang , \" Fine-Grained Chinese Named Entity Recognition Based on MacBERT-Attn-BiLSTM-CRF Model ,\" 2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC) , 2022 , pp. 0125 - 0131 , doi: 10.1109\/CCWC54503.2022.9720911. 10.1109\/CCWC54503.2022.9720911 J. Wang , \"Fine-Grained Chinese Named Entity Recognition Based on MacBERT-Attn-BiLSTM-CRF Model,\" 2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC), 2022, pp. 0125-0131, doi: 10.1109\/CCWC54503.2022.9720911."},{"key":"e_1_3_2_1_11_1","volume-title":"Chinese Named Entity Recognition Fusing Lexical and Syntactic Information. In 2022 the 6th International Conference on Innovation in Artificial Intelligence (ICIAI) (ICIAI","author":"Zhang Min","year":"2022","unstructured":"Min Zhang , Bicheng Li , Qilong Liu , and Jing Wu . 2022 . Chinese Named Entity Recognition Fusing Lexical and Syntactic Information. In 2022 the 6th International Conference on Innovation in Artificial Intelligence (ICIAI) (ICIAI 2022). Association for Computing Machinery, New York, NY, USA, 69\u201377. https:\/\/doi.org\/10.1145\/3529466.3529506 10.1145\/3529466.3529506 Min Zhang, Bicheng Li, Qilong Liu, and Jing Wu. 2022. Chinese Named Entity Recognition Fusing Lexical and Syntactic Information. In 2022 the 6th International Conference on Innovation in Artificial Intelligence (ICIAI) (ICIAI 2022). Association for Computing Machinery, New York, NY, USA, 69\u201377. https:\/\/doi.org\/10.1145\/3529466.3529506"},{"key":"e_1_3_2_1_12_1","first-page":"2003","article-title":"Named entity recognition with long short-term memory","year":"2003","unstructured":"Hammerton, James. \" Named entity recognition with long short-term memory .\" Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 . 2003 . Hammerton, James. \"Named entity recognition with long short-term memory.\" Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003. 2003.","journal-title":"Proceedings of the seventh conference on Natural language learning at HLT-NAACL"},{"key":"e_1_3_2_1_13_1","first-page":"2493","article-title":"Natural language processing (almost) from scratch","year":"2011","unstructured":"Collobert, Ronan , \" Natural language processing (almost) from scratch .\" Journal of machine learning research 12.ARTICLE ( 2011 ): 2493 - 2537 . Collobert, Ronan, \"Natural language processing (almost) from scratch.\" Journal of machine learning research 12.ARTICLE (2011): 2493-2537.","journal-title":"Journal of machine learning research 12.ARTICLE ("},{"key":"e_1_3_2_1_14_1","unstructured":"Huang Zhiheng Wei Xu and Kai Yu. \"Bidirectional LSTM-CRF models for sequence tagging.\" arXiv preprint arXiv:1508.01991 (2015).  Huang Zhiheng Wei Xu and Kai Yu. \"Bidirectional LSTM-CRF models for sequence tagging.\" arXiv preprint arXiv:1508.01991 (2015)."},{"key":"e_1_3_2_1_15_1","first-page":"239","volume-title":"Springer","year":"2016","unstructured":"Dong, Chuanhai, \"Character-based LSTM-CRF with radical-level features for Chinese named entity recognition.\" Natural Language Understanding and Intelligent Applications . Springer , Cham , 2016 . 239 - 250 . Dong, Chuanhai, \"Character-based LSTM-CRF with radical-level features for Chinese named entity recognition.\" Natural Language Understanding and Intelligent Applications. Springer, Cham, 2016. 239-250."},{"key":"e_1_3_2_1_16_1","unstructured":"Li Haibo \"Comparison of the Impact of Word Segmentation on Name Tagging for Chinese and Japanese.\" LREC. 2014.  Li Haibo \"Comparison of the Impact of Word Segmentation on Name Tagging for Chinese and Japanese.\" LREC. 2014."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"crossref","unstructured":"Zhang Yue and Jie Yang. \"Chinese NER using lattice LSTM.\" arXiv preprint arXiv:1805.02023 (2018).  Zhang Yue and Jie Yang. \"Chinese NER using lattice LSTM.\" arXiv preprint arXiv:1805.02023 (2018).","DOI":"10.18653\/v1\/P18-1144"},{"key":"e_1_3_2_1_18_1","unstructured":"Gul Tao \"CNN-Based Chinese NER with Lexicon Rethinking.\" IJCAI. 2019.  Gul Tao \"CNN-Based Chinese NER with Lexicon Rethinking.\" IJCAI. 2019."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"crossref","unstructured":"Ding Ruixue \"A neural multi-digraph model for Chinese NER with gazetteers.\" Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. 2019.  Ding Ruixue \"A neural multi-digraph model for Chinese NER with gazetteers.\" Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. 2019.","DOI":"10.18653\/v1\/P19-1141"},{"key":"e_1_3_2_1_20_1","first-page":"4186","volume-title":"InNAACL","author":"Devlin Jacob","year":"2019","unstructured":"Jacob Devlin , Ming-Wei Chang , Kenton Lee , and Kristina Toutanova . BERT : Pre-training of deep bidi rectional transformers for language understanding . InNAACL , pages 4171\u2013 4186 , Minneapolis , June 2019 . Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. BERT: Pre-training of deep bidi rectional transformers for language understanding. InNAACL, pages 4171\u20134186, Minneapolis, June 2019."},{"key":"e_1_3_2_1_21_1","unstructured":"LEVOW G .The third international chinese language processing Bakeoff: word segmentation and named entity recognition[C]\/\/Meeting of the Association for Computational Linguistics. 2006: 108-117.  LEVOW G .The third international chinese language processing Bakeoff: word segmentation and named entity recognition[C]\/\/Meeting of the Association for Computational Linguistics. 2006: 108-117."},{"key":"e_1_3_2_1_22_1","first-page":"548","article-title":"Named entity recognition for chinese social media with jointly trained embeddings[C]\/\/Empirical Methods","volume":"2015","author":"PENG N, DREDZE","unstructured":"PENG N, DREDZE M . Named entity recognition for chinese social media with jointly trained embeddings[C]\/\/Empirical Methods In Natural Language Processing , 2015 : 548 - 554 . PENG N, DREDZE M. Named entity recognition for chinese social media with jointly trained embeddings[C]\/\/Empirical Methods In Natural Language Processing, 2015: 548-554.","journal-title":"Natural Language Processing"},{"key":"e_1_3_2_1_23_1","volume-title":"Bidirectional lstm-crf models for sequence tagging.arXiv preprint arXiv:1508.01991","author":"Huang Zhiheng","year":"2015","unstructured":"Zhiheng Huang , Wei Xu , and Kai Y u. Bidirectional lstm-crf models for sequence tagging.arXiv preprint arXiv:1508.01991 , 2015 . Zhiheng Huang, Wei Xu, and Kai Y u. Bidirectional lstm-crf models for sequence tagging.arXiv preprint arXiv:1508.01991, 2015."},{"key":"e_1_3_2_1_24_1","first-page":"1049","volume-title":"InEMNLP-IJCNLP","author":"Gui Tao","year":"2019","unstructured":"Tao Gui , Yicheng Zou , Qi Zhang , Minlong Peng , Jinlan Fu , Zhongyu Wei , and Xuan-Jing Huang . A lexicon-based graph neural network for chinese ner . InEMNLP-IJCNLP , pages 1039\u2013 1049 , 2019 . Tao Gui, Yicheng Zou, Qi Zhang, Minlong Peng, Jinlan Fu, Zhongyu Wei, and Xuan-Jing Huang. A lexicon-based graph neural network for chinese ner. InEMNLP-IJCNLP, pages 1039\u20131049, 2019."},{"key":"e_1_3_2_1_25_1","first-page":"3831","volume-title":"EMNLP-IJCNLP","author":"Sui Dianbo","year":"2019","unstructured":"Dianbo Sui , Yubo Chen , Kang Liu , Jun Zhao , and Sheng-ping Liu. Leverage lexical knowledge for chinese named entity recognition via collaborative graph network . In EMNLP-IJCNLP , pages 3821\u2013 3831 , 2019 . Dianbo Sui, Yubo Chen, Kang Liu, Jun Zhao, and Sheng-ping Liu. Leverage lexical knowledge for chinese named entity recognition via collaborative graph network. In EMNLP-IJCNLP, pages 3821\u20133831, 2019."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3426826.3426842"}],"event":{"name":"MLMI 2022: 2022 5th International Conference on Machine Learning and Machine Intelligence","acronym":"MLMI 2022","location":"Hangzhou China"},"container-title":["2022 5th International Conference on Machine Learning and Machine Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3568199.3568217","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3568199.3568217","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T18:08:43Z","timestamp":1750183723000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3568199.3568217"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9,23]]},"references-count":26,"alternative-id":["10.1145\/3568199.3568217","10.1145\/3568199"],"URL":"https:\/\/doi.org\/10.1145\/3568199.3568217","relation":{},"subject":[],"published":{"date-parts":[[2022,9,23]]},"assertion":[{"value":"2023-03-06","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}