{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T18:29:54Z","timestamp":1730226594114,"version":"3.28.0"},"reference-count":16,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,10,27]],"date-time":"2022-10-27T00:00:00Z","timestamp":1666828800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,10,27]],"date-time":"2022-10-27T00:00:00Z","timestamp":1666828800000},"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":[[2022,10,27]]},"DOI":"10.1109\/ialp57159.2022.9961252","type":"proceedings-article","created":{"date-parts":[[2022,12,2]],"date-time":"2022-12-02T21:07:51Z","timestamp":1670015271000},"page":"237-240","source":"Crossref","is-referenced-by-count":0,"title":["Chinese Futures Market Information Extraction and Classification Model Combined with HMM and SVM"],"prefix":"10.1109","author":[{"given":"Zhiming","family":"Yang","sequence":"first","affiliation":[{"name":"School of Computer and Artificial Intelligent, Zhengzhou University,Zhengzhou,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Heguo","family":"Yang","sequence":"additional","affiliation":[{"name":"Zhengzhou Commodity Exchange,Zhengzhou,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guoping","family":"Zhao","sequence":"additional","affiliation":[{"name":"Zhengzhou Esunny InformationTechnology Co.,Ltd,Zhengzhou,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lingling","family":"Mu","sequence":"additional","affiliation":[{"name":"School of Computer and Artificial Intelligent, Zhengzhou University,Zhengzhou,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","first-page":"473","article-title":"Named entity recognition using an HMM-based chunk tagger","author":"zhou","year":"2002","journal-title":"Proceedings of the 40th Annual Meeting on Association for Computational Linguistics  - ACL '02"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2006.04.007"},{"key":"ref12","article-title":"Named entity recognition using hidden Markov model (HMM)","volume":"1","author":"sudha","year":"2012","journal-title":"International Journal on Natural Language Computing"},{"key":"ref13","first-page":"3","article-title":"Tutorial on support vector machine (svm)","volume":"37","author":"jakkula","year":"2006","journal-title":"School of EECS"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-018-9614-6"},{"key":"ref15","first-page":"49","article-title":"MWU-aware part-of-speech tagging with a CRF model and lexical resources","author":"constant","year":"2011","journal-title":"Proceedings of the Workshop on Multiword Expressions From Parsing and Generation to the Real World"},{"key":"ref16","first-page":"153","article-title":"Feature selection: Evaluation, application, and small sample performance","volume":"19 2","author":"anil","year":"1997","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-3223-4_2"},{"key":"ref3","article-title":"Research on stock price prediction based on support vector machine","author":"fangfang","year":"2016","journal-title":"Chongqing University of Technology"},{"key":"ref6","first-page":"2712","article-title":"Using pre-training can improve model robustness and uncertainty","author":"hendrycks","year":"2019","journal-title":"Int Conference on Machine Learning"},{"key":"ref5","article-title":"Unified language model pre-training for natural language understanding and generation","volume":"32","author":"dong","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3115\/1119176.1119201"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1075\/li.30.1.03nad"},{"key":"ref2","first-page":"203","article-title":"Research on stock prediction based on lstm-cnn-cbam model","volume":"57","author":"hongrui","year":"2021","journal-title":"Computer Engineering and Application"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MCI.2014.2307227"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2021.107354"}],"event":{"name":"2022 International Conference on Asian Language Processing (IALP)","start":{"date-parts":[[2022,10,27]]},"location":"Singapore, Singapore","end":{"date-parts":[[2022,10,28]]}},"container-title":["2022 International Conference on Asian Language Processing (IALP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9961216\/9961238\/09961252.pdf?arnumber=9961252","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,19]],"date-time":"2022-12-19T20:04:00Z","timestamp":1671480240000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9961252\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,27]]},"references-count":16,"URL":"https:\/\/doi.org\/10.1109\/ialp57159.2022.9961252","relation":{},"subject":[],"published":{"date-parts":[[2022,10,27]]}}}