Research on Machine Translation and Content Generation for Minor Languages Using Multilingual Knowledge and Few Shot Learning\uff1b Foundation Augumentation Program Technical Funding\uff082021-JCJQ-JJ-0059\uff09<\/span>; 2021.10-2024.10;2M\uff1bHosted by Huaping Zhang<\/p>\n

Research on Chinese Text Profreading Based on Pretrained Language Model and Domain Knowledge Graph\uff1b Beijing Municipal Natural Science Foundation (Grant No.4212026); 2021.1-2023.12;200K\uff1bHosted by Huaping Zhang<\/p>\n

Research on Natural Language Generation; China Electronics Technology Group Corporation; 2020.7-2021.12; 8.97m\uff1bHosted by Huaping Zhang<\/p>\n

Research on Chinese Text Profreading Based on Pretrained Language Model and Domain Knowledge Graph(4212026)\uff1bNational Science Foundation of China in Beijing; 2021.1-2024.12;200K\uff1bHost by Huaping Zhang<\/p>\n

Research on Natural Language Generation; China Electronics Technology Group Corporation; 2020.7-2021.12; 8.97m\uff1bHost by Huaping Zhang<\/p>\n

Research on Configure Security\uff1b 2021.1-2022.12; 3m\uff1bHost by Huaping Zhang<\/p>\n

Research on Web Public Opinion Mining on Justice Domain 2018YFC0832304 121<\/p>\n<\/div>\n

Research on Targeted Group Detection Using Semantic Topic and Social Relationship\uff1bNational Science Foundation of China (NSFC, Grand No: 61772075);\u00a02018.1-2021.12;610K\uff1bLeader\uff1aHuaping Zhang;<\/div>\n

Web Log Analysis and User Portrait \uff0cNational 242 Security Plan, 700K 2016.6-2017.5 2016A83;Leader\uff1aHuaping Zhang;<\/div>\n

Credit System Architecture Design for the People\u2019s Central Bank of China, 2015.5-10<\/p>\n

Key Technology on Text Mining\uff0cNational 242 Security Plan, 800K 2014.11-2015.5 ;2014A10; Leader\uff1aHuaping Zhang;<\/div>\n

Basic Research on Social Networks Analysis and Information Communication, The State 973 Key Basic Research and Development Program\uff0c96\uff0c2013.1-2017.12\uff0c sub-project leader: Huaping Zhang; 2013CB329606
\nResearch on Sentiment Analysis in Microblogs based on users personalization.840.2013.1-2016.12.National Science Foundation of China (NSFC, Grand No: 61272362); Leader:Huaping Zhang
\nXinjiang Uygur Web Crawlering and Search; Science and technology supporting Program in Xijing District; 2012.1-2013.12 2<\/p>\n

Meteorological Report Generation Based on Time and Space Inference, China\u00a0Meteorological Admininstration,2010.9-2011.9
\nChina Postal Address Search,China Post Group, 2011.1-2011.3\u00a01
\nWeb Topic Detection, Communication and Evolution, the 863 National High-Technology Project, 2007.9-2009.7
\nWeb Surveillance System for\u00a0\u00a0China Securities Regulatory Commission (CSRC) 2008.11-2009.6<\/p>\n<\/div>\n

\u79d1\u7814\u9879\u76ee\uff1a<\/strong><\/h2>\n
\u57fa\u4e8e\u591a\u8bed\u77e5\u8bc6\u4e0e\u5c0f\u6837\u672c\u5b66\u4e60\u7684\u5c0f\u8bed\u79cd\u673a\u5668\u7ffb\u8bd1\u4e0e\u5185\u5bb9\u751f\u6210\u6280\u672f<\/span>\uff1b \u57fa\u7840\u52a0\u5f3a\u8ba1\u5212\u6280\u672f\u9886\u57df\u57fa\u91d1\uff082021-JCJQ-JJ-0059\uff09<\/span>; 2021.10-2024.10;200\u4e07\uff1b\u5728\u7814 \u5f20\u534e\u5e73<\/p>\n
\u914d\u7f6e\u5b89\u5168\uff1b\u521b\u65b0\u7279\u533a\u9879\u76ee; 2021.11-2023.11;300\u4e07\uff1b\u5728\u7814 \u5f20\u534e\u5e73<\/p>\n
\u57fa\u4e8e\u8bed\u8a00\u9884\u8bad\u7ec3\u6a21\u578b\u4e0e\u9886\u57df\u77e5\u8bc6\u7684\u4e2d\u6587\u6587\u672c\u878d\u5408\u6821\u5bf9\u7b97\u6cd5\u7814\u7a76\uff1b\u5317\u4eac\u5e02\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u9762\u4e0a\u9879\u76ee(4212026); 2021.1-2024.12;20\u4e07\uff1b\u5728\u7814 \u5f20\u534e\u5e73<\/p>\n
\u6587\u672c\u751f\u6210\u9884\u7814\u8bfe\u9898\uff1b\u4e2d\u7535\u79d1; 2020.7-2021.12; 897\u4e07\uff1b\u5728\u7814 \u5f20\u534e\u5e73<\/p>\n
\u914d\u7f6e\u5b89\u5168\u8bfe\u9898\uff1b\u67d0\u90e8; 2021.1-2022.12; 300\u4e07\uff1b\u5728\u7814 \u5f20\u534e\u5e73<\/span><\/p>\n
\u9762\u5411\u4e92\u8054\u7f51\u4fe1\u606f\u7684\u53f8\u6cd5\u8206\u60c5\u76d1\u6d4b\u4e0e\u5206\u7ea7\u9884\u8b66\u6280\u672f\u7814\u7a76\u53ca\u7cfb\u7edf\u7814\u53d1 2018YFC0832304 \u201c\u516c\u5171\u5b89\u5168\u98ce\u9669\u9632\u63a7\u4e0e\u5e94\u6025\u6280\u672f\u88c5\u5907\u201d\u91cd\u70b9\u4e13\u9879\uff08\u53f8\u6cd5\u4e13\u9898\u4efb\u52a1\uff09 121
\n\u7279\u5b9a\u884c\u4e1a\u4e92\u8054\u7f51\u6570\u636e\u5206\u6790\u670d\u52a1 \u56fd\u5bb6242\u4fe1\u606f\u5b89\u5168\u8ba1\u5212 99
\n\u8bed\u4e49\u4e3b\u9898\u4e0e\u793e\u4ea4\u5173\u7cfb\u878d\u5408\u7684\u7279\u5b9a\u7fa4\u4f53\u53d1\u73b0\u5173\u952e\u6280\u672f\u7814\u7a76 61772075 \u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u9762\u4e0a\u9879\u76ee\u00a0 61
\n\u6587\u672c\u6316\u6398\u7b97\u5b50\u8fd0\u7ef4 \u56fd\u5bb6242\u4fe1\u606f\u5b89\u5168\u8ba1\u5212 28.8
\n\u7279\u5b9a\u7f51\u7edc\u670d\u52a1\u7684\u7528\u6237\u4e0e\u670d\u52a1\u5668\u7279\u5f81\u6a21\u578b\u7814\u7a76\u53ca\u8d8b\u52bf\u5206\u6790 \u56fd\u5bb6242\u4fe1\u606f\u5b89\u5168\u8ba1\u5212 100
\n\u6587\u672c\u6316\u6398\u7b97\u5b50\u8fd0\u7ef4 \u56fd\u5bb6242\u4fe1\u606f\u5b89\u5168\u8ba1\u5212 28.5
\n\u7279\u5b9a\u7f51\u7edc\u670d\u52a1\u7684\u7528\u6237\u4e0e\u670d\u52a1\u5668\u7279\u5f81\u6a21\u578b\u7814\u7a76\u53ca\u8d8b\u52bf\u5206\u6790 \u56fd\u5bb6242\u4fe1\u606f\u5b89\u5168\u8ba1\u5212 70
\n\u4e2d\u56fd\u4eba\u6c11\u94f6\u884c\u5f81\u4fe1\u4e2d\u5fc3\u4e92\u8054\u7f51\u516c\u5171\u4fe1\u606f\u81ea\u52a8\u6293\u53d6\u8bfe\u9898\u7814\u7a76\u670d\u52a1\u4e8c\u6b21\u91c7\u8d2d\u9879\u76ee \u4e2d\u56fd\u4eba\u6c11\u94f6\u884c\u5f81\u4fe1\u4e2d\u5fc3 32
\n\u9762\u5411**\u5206\u6790\u7684\u77e5\u8bc6\u5e93\u4e0e\u6570\u636e\u6807\u7b7e\u5e94\u7528\u7cfb\u7edf \u56fd\u5bb6242\u4fe1\u606f\u5b89\u5168\u8ba1\u5212 60
\n\u6587\u672c\u6316\u6398\u5173\u952e\u6280\u672f* 2014A10 \u56fd\u5bb6242\u4fe1\u606f\u5b89\u5168\u8ba1\u5212 80
\n\u793e\u4ea4\u7f51\u7edc\u5206\u6790\u53ca\u4fe1\u606f\u4f20\u64ad\u7406\u8bba\u5728\u8206\u60c5\u9884\u8b66\u65b9\u9762\u7684\u793a\u8303\u9a8c\u8bc1 2013CB329606 \u56fd\u5bb6973\u91cd\u70b9\u57fa\u7840\u7814\u7a76\u53d1\u5c55\u8ba1\u5212 96
\n\u57fa\u4e8e\u4e3b\u4f53\u4e2a\u6027\u5316\u7684\u5fae\u535a\u60c5\u611f\u5206\u6790\u5173\u952e\u6280\u672f\u7814\u7a76 61272362 \u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u9762\u4e0a\u9879\u76ee 84
\n\u4e92\u8054\u7f51\u5f00\u653e\u5e73\u53f0\u53ca\u5e94\u7528\u4fe1\u606f\u5b89\u5168**\u6280\u672f\u7814\u7a76\uff08\u6d89\u5bc6 \u56fd\u5bb6242\u4fe1\u606f\u5b89\u5168\u8ba1\u5212 60
\n\u65b0\u7586\u591a\u6c11\u65cf\u8bed\u8a00\u7f51\u7edc\u8206\u60c5\u76d1\u6d4b\u9884\u8b66\u7cfb\u7edf\u5f00\u53d1\u4e0e\u5e94\u7528 201212124 \u65b0\u7586\u81ea\u6cbb\u533a\u9ad8\u65b0\u6280\u672f\u8ba1\u5212 45
\n\u6d77\u91cf\u5f02\u6784\u4fe1\u606f\u5904\u7406\u5e73\u53f0\u5173\u952e\u6280\u672f\u7684\u7814\u53d1\u4e0e\u5e94\u7528 \u6cb3\u5317\u7701\u79d1\u6280\u652f\u6491\u8ba1\u5212 40
\n\u65b0\u6280\u672f\u65b0\u5e94\u7528\u53ca\u6218\u7565\u8ddf\u8e2a\u7814\u7a76\u2014\u4e91\u8ba1\u7b97 CNITSEC-KY-2011-012\/3 \u4e2d\u56fd\u4fe1\u606f\u5b89\u5168\u8bc4\u6d4b\u4e2d\u5fc3 25
\n\u5178\u578b\u5e94\u7528\u7cfb\u7edf\u6a21\u62df\u4eff\u771f\u4e0e\u9690\u60a3\u5206\u6790\u7814\u7a76\u2014\u4e91\u8ba1\u7b97 CNITSEC-KY-2011-013\/5 \u4e2d\u56fd\u4fe1\u606f\u5b89\u5168\u8bc4\u6d4b\u4e2d\u5fc3 30
\n\u91d1\u878d\u8206\u60c5\u591a\u7a7a\u5224\u522b\u5173\u952e\u6280\u672f\u7814\u7a76 20110742007 \u5317\u4eac\u7406\u5de5\u5927\u5b66\u57fa\u7840\u79d1\u7814\u57fa\u91d1 2
\n\u79d1\u6280\u9879\u76ee\u5e93\u6784\u5efa\u4e0e\u6316\u6398\u7cfb\u7edf \u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u4fe1\u606f\u7814\u7a76\u6240 10
\n\u65b0\u6280\u672f\u65b0\u5e94\u7528\u5b89\u5168\u95ee\u9898\u6218\u7565\u5bf9\u7b56\u7814\u7a76-\u4e91\u8ba1\u7b97 CNITSEC-KY-0910-019\/6 \u4e2d\u56fd\u4fe1\u606f\u5b89\u5168\u8bc4\u6d4b\u4e2d\u5fc3 15
\n\u7f51\u7edc\u8bdd\u9898\u7684\u53d1\u73b0\u3001\u4f20\u64ad\u53ca\u52a8\u6001\u6f14\u5316\u7279\u5f81\u5206\u6790\u6280\u672f 2007AA01Z438 \u56fd\u5bb6863\u8ba1\u5212 93
\n\u57fa\u4e8e\u6d88\u606f\u7684\u70ed\u70b9\u53d1\u73b0\u4e0e\u4fe1\u606f\u8ffd\u8e2a* 2005C36 \u56fd\u5bb6242\u4fe1\u606f\u5b89\u5168\u8ba1\u5212 45
\n\u8f85\u52a9\u5206\u6790\u7cfb\u7edf* 2007A08 \u56fd\u5bb6242\u4fe1\u606f\u5b89\u5168\u8ba1\u5212 50
\n\u9762\u5411\u70ed\u70b9\u8bdd\u9898\u53d1\u73b0\u7cfb\u7edf* \u5de5\u4fe1\u90e8 80
\n\u7684\u8206\u60c5\u7814\u7a76* \u56fd\u5bb6242\u4fe1\u606f\u5b89\u5168\u8ba1\u5212 50
\n\u865a\u62df\u8ba1\u7b97\u73af\u5883\u4e0b\u7684\u7f51\u7edc\u8206\u60c5\u81ea\u9002\u5e94\u7cfb\u7edf\u7814\u7a76* \u56fd\u5bb6242\u4fe1\u606f\u5b89\u5168\u8ba1\u5212 70
\n\u9762\u5411\u4e92\u8054\u7f51\u7684\u53d1\u73b0\u7cfb\u7edf* YHX \u5de5\u4fe1\u90e8 392.7
\n\u4e2d\u56fd\u8bc1\u76d1\u4f1a\u7f51\u7edc\u4fe1\u606f\u76d1\u63a7\u7cfb\u7edf CSRC200803 \u4e2d\u56fd\u8bc1\u76d1\u4f1a 136.5
\n\u793e\u4f1a\u8206\u60c5\u5206\u6790\u673a\u5236\u7814\u7a76 2006\u6240\u77e5\u8bc6\u521b\u65b0\u57fa\u91d1 35
\n\u9762\u5411\u8bc1\u5238\u5e02\u573a\u7684\u8206\u60c5\u52a8\u6001\u5206\u6790 \u4f18\u79c0\u535a\u58eb\u5b66\u4f4d\u8bba\u6587\u3001\u9662\u957f\u5956\u83b7\u5f97\u8005\u79d1\u7814\u542f\u52a8\u4e13\u9879\u8d44\u91d1 10
\n\u4e0a\u5e02\u516c\u53f8\u5546\u60c5\u6316\u6398\u7cfb\u7edf\u5f00\u53d1\u5e94\u7528 2007\u8ba1\u7b97\u6240\u6240\u77e5\u8bc6\u521b\u65b0\u57fa\u91d1\u767e\u661f\u8ba1\u5212 10
\n\u9762\u5411\u4e2d\u6587\u641c\u7d22\u5f15\u64ce\u7684\u7d22\u5f15\u8bcd\u5206\u6790\u6280\u672f 2005\u6240\u77e5\u8bc6\u521b\u65b0\u57fa\u91d1 15
\n\u57fa\u4e8e\u4e2d\u56fd\u79fb\u52a8\u4e91\u8ba1\u7b97\u5e73\u53f0\u7684\u4e92\u8054\u7f51\u6587\u672c\u4fe1\u606f\u641c\u7d22\u5f15\u64ce\u7cfb\u7edf \u4e2d\u56fd\u79fb\u52a8\u7814\u7a76\u9662 62<\/p>\n
\u53d1\u8868\u7684\u8bba\u6587\u4e13\u8457\u5217\u8868<\/strong><\/h2>\n
\u4e13\u8457\u5217\u8868<\/strong>
\n\u5f20\u534e\u5e73,\u5546\u5efa\u4e91\uff0c\u90ed\u6d9b\uff0c\u5218\u5146\u53cb;\u5927\u6570\u636e\u667a\u80fd\uff0c\u6e05\u534e\u5927\u5b66\u51fa\u7248\u793e,2019.1
\n\u5f20\u534e\u5e73,\u5546\u5efa\u4e91\uff0c\u767d\u7855\uff0c\u6bb5\u6c38\u671d\u7b49\u8457 \u5927\u6570\u636e\u5927\u5bb6\u8c08\uff082017.1\uff09,\u7535\u5b50\u5de5\u4e1a\u51fa\u7248\u793e\uff08ISBN:978-7-121-30181-0\uff09
\n\u5f20\u534e\u5e73,\u9ad8\u51ef\uff0c\u9ec4\u6cb3\u71d5,\u8d75\u71d5\u5e73.\u5927\u6570\u636e\u641c\u7d22\u4e0e\u6316\u6398.\u79d1\u5b66\u51fa\u7248\u793e.2014.5\uff08ISBN:978-7-03-040318-6\uff09
\n\u5f20\u534e\u5e73\uff0c\u674e\u6052\u8bad,\u5218\u6cbb\u534e.\u4fe1\u606f\u68c0\u7d22\u7b97\u6cd5\u4e0e\u63a2\u7d22\u6cd5\uff0c\u4eba\u6c11\u90ae\u7535\u51fa\u7248\u793e\uff0c 2010\u5e749\u6708\uff08ISBN:978-7-115-23575-6\uff09
\n\u5218\u7fa4,\u5f20\u534e\u5e73,\u9a86\u536b\u534e,\u5b59\u5065\uff0c\u81ea\u7136\u8bed\u8a00\u7406\u89e3, \u7535\u5b50\u5de5\u4e1a\u51fa\u7248\u793e, 2005\u5e741\u6708(ISBN\uff1a7-121-00755-X)<\/p>\n
\u8bba\u6587\u5217\u8868<\/strong><\/p>\n
Linfang Wu, Hua-Ping Zhang, Yaofei Yang and Kai Gao. Dynamic Prototype Selection by Fusing Attention Mechanism for Few Shot Relation Classification. ACIIDS.
\nYaofei Yang, Hua-Ping Zhang, Linfang Wu and Yangsen Zhang. Cached Embedding with Random Selection: Optimization Technique to Improve Training Speed of Character-Aware Embedding. ACIIDS.<\/p>\n
“Xi Zhang, Hua-Ping Zhang, Lei Zhao:
\nReading More Efficiently: Multi-sentence Summarization with a Dual Attention and Copy-Generator Network. In: The Pacific Rim International Conferences on Artificial Intelligence, PRICAI 2018, Nanjing, Jiangsu, China, 28-31 August 2018, (1) 2018: 811-823”
\nShen Gao, Huaping Zhang, Kai Gao. A Convolutional Neural Network Based Sentiment Classification and the Convolutional Kernel Representation[C]. Proceedings of 22nd International Conference on Natural Language & Information Systems(NLDB), Springer LNCS, Li\u00e8ge, Belgium, 21-23 June, 2017, EI Compendex index
\nShen Gao, Huaping Zhang, Kai Gao. Text Understanding with a Hybrid Neural Network Based Learning[C]. Proceedings of the 3th International Conference of Pioneering Computer Scientists, Engineers and Educators (ICPCSEE), Springer LNCS, Changsha, China, 22-24 September, 2017, EI Compendex index.
\nSongZe Wu, Huaping Zhang, Chengcheng Xu, Tao Guo. Text Clustering on Short Message by Using Deep Semantic Representation. International Conference on Computational Sciences, Advanced Database and Computing, 2017.
\n“CHENGCHENG XU, HUAPING ZHANG, BINGBING LU AND SONGZE WU. Local
\nCommunity Detection Using Social Relations and Topic Features in Social Networks
\n[M]. Chinese Computational Linguistics and Natural Language Processing Based on
\nNaturally Annotated Big Data. Springer, Cham, 2017, 371-383.”
\n“BINGBING LU, HUAPING ZHANG, BIN LIU AND ZHONGHUA ZHAO. Research on
\nUser Identification Algorithm Based on Massive Multi-site VPN Log [C]. IEEE, International Conference on Communication Technology. IEEE, 2017:1372-1381”
\n\u5f20\u534e\u5e73\uff0c\u5546\u5efa\u4e91.\u9762\u5411\u793e\u4f1a\u5a92\u4f53\u7684\u5f00\u653e\u9886\u57df\u65b0\u8bcd\u53d1\u73b0.\u4e2d\u6587\u4fe1\u606f\u5b66\u62a5.\u7b2c31\u5377\u7b2c3\u671f\uff0c115-121. 2017\u5e745\u6708
\n\u5f20\u534e\u5e73\uff0c\u674e\u6052\u8bad\uff0c\u674e\u6e05\u654f. \u60c5\u611f\u8bcd\u53d1\u73b0\u4e0e\u6781\u6027\u6743\u91cd\u81ea\u52a8\u8ba1\u7b97\u7b97\u6cd5\u7814\u7a76.\u4e2d\u6587\u4fe1\u606f\u5b66\u62a5.\u7b2c31\u5377\u7b2c3\u671f\uff0c60-66. 2017\u5e745\u6708
\nA Convolutional Neural Network Based Sentiment Classification and the Convolutional Kernel Representation The 22nd International Conference on Natural Language and Information Systems Gao Shen, Zhang Huaping, Gao Kai
\nNews Abridgement Algorithm Based on Word Alignment and Syntactic Parsing[M]\/\/ Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data. 2016. Yu Min,Zhang Huaping,Zhang Yu
\nQiao Y, Zhang Huaping, Yu M, et al. Sina-Weibo Spammer Detection with GBDT [M]\/\/ Social Media Processing. Springer Singapore, 2016. EI
\nZhang Y, Yu M, He Y, et al. Events Influence Computation on Social Media [C]\/\/ International Conference on Electronics Network and Computer Engineering, 2016.
\nYang Qiao,Huaping Zhang\uff08\u5f20\u534e\u5e73\uff09,.Effective Detecting Microblog Spammers Using Big Data Fusion Algorithm.WorldComp’16,July 25-28,Las Vegas,Nevada,USA
\n[3] Jiandong Zhou(\u5468\u5efa\u680b\uff09, Yanping Zhao\uff08\u8d75\u71d5\u5e73\uff09, Huaping Zhang\uff08\u5f20\u534e\u5e73\uff09. Measuring Emotion Bifurcation Points for Individuals in Social Media[C].the Hawaii International Conference on System Science(\u56fd\u9645\u7cfb\u7edf\u79d1\u5b66\u5e74\u4f1a HICSS’49\uff0c\u7ba1\u7406A\u7c7b\u4f1a\u8bae, EI\u68c0\u7d22), Jan.5-8, 2016, Honolulu, KAUAI, Hawaii USA.2016:1949-1958.
\n“\u674e\u7136,\u5f20\u534e\u5e73,\u8d75\u71d5\u5e73\uff0c\u5546\u5efa\u4e91.\u57fa\u4e8e\u4e3b\u9898\u6a21\u578b\u4e0e\u4fe1\u606f\u71b5\u7684\u4e2d\u6587\u6587\u6863\u81ea\u52a8\u6458\u8981\u6280\u672f\u7814\u7a76(Automatic Text Summarization Research Based on Topic Model and Information Entropy).\u8ba1\u7b97\u673a\u79d1\u5b66.2014-11
\n” \u7b2c41\u5377\u7b2c11A\u671f \u6742\u5fd7
\nMengshu Sun,Huaping Zhang;Yanping Zhao;Jianyun Shang;Baojun Ma;From Posts to Values: Mining Schwartz Values of Individuals from Social Media;Volume 489 of the series Communications in Computer and Information Science pp 206-219 SCI \u6742\u5fd7
\n\u8d75\u8fde\u4f1f\uff0c\u5f20\u534e\u5e73\uff0c\u53f2\u5b66\u6587.\u6587\u672c\u5206\u7c7b\u5b57\u8bcd\u7279\u5f81\u5bf9\u6bd4\u7814\u7a76[J]\uff0c\u4e2d\u6587\u4fe1\u606f\u5b66\u62a5\uff0c2016.\uff08\u6838\u5fc3\u671f\u520a\uff09 \u4f1a\u8bae\/\u6742\u5fd7
\n\u5f20\u534e\u5e73,\u674e\u6e05\u654f,\u4e8e\u654f.\u60c5\u611f\u8bcd\u53d1\u73b0\u4e0e\u6781\u6027\u6743\u91cd\u81ea\u52a8\u8ba1\u7b97\u7b97\u6cd5\u7814\u7a76.\u7b2c\u4e09\u5c4a\u5168\u56fd\u793e\u4f1a\u5a92\u4f53\u5904\u7406\u5927\u4f1a(\u4e2d\u6587\u4fe1\u606f\u5b66\u62a5\u63a5\u6536).2014\u5e7411\u6708.\u5317\u4eac \u4f1a\u8bae\/\u6742\u5fd7
\n\u674e\u857e\uff0c\u5f20\u534e\u5e73\uff0c\u8d75\u71d5\u5e73.\u57fa\u4e8e\u8bed\u4e49\u4e0e\u5173\u7cfb\u7684\u793e\u4ea4\u7f51\u7edc\u7fa4\u4f53\u53d1\u73b0\u8fed\u4ee3\u7b97\u6cd5.\u7b2c\u4e09\u5c4a\u5168\u56fd\u793e\u4f1a\u5a92\u4f53\u5904\u7406\u5927\u4f1a.2014\u5e7411\u6708.\u5317\u4eac \u4f1a\u8bae
\n\u9648\u6653\u9633\uff0c\u5f20\u534e\u5e73\uff0c\u8d75\u71d5\u5e73\uff0c\u5546\u5efa\u4e91.\u9762\u5411\u793e\u4f1a\u5a92\u4f53\u7684\u5f00\u653e\u9886\u57df\u65b0\u8bcd\u53d1\u73b0.\u7b2c\u4e09\u5c4a\u5168\u56fd\u793e\u4f1a\u5a92\u4f53\u5904\u7406\u5927\u4f1a(\u4e2d\u6587\u4fe1\u606f\u5b66\u62a5\u63a5\u6536).2014\u5e7411\u6708.\u5317\u4eac \u4f1a\u8bae\/\u6742\u5fd7
\nChen Xiao-Yang, Shang Jian-Yun, Zhao Yan-Ping, Shi Xue-Wen. A Comparison of Part-Of-Speech Tag Sets for Transition-based Dependency Parsing[C]. 2014 the Second International Conference on Information Technology and Computer Application Engineering EI\u7d22\u5f15 \u4f1a\u8bae
\n\u5f20\u534e\u5e73,\u5b59\u68a6\u59dd,\u5f20\u745e\u7426,\u674e\u857e.\u5fae\u535a\u535a\u4e3b\u7684\u7279\u5f81\u4e0e\u884c\u4e3a\u5927\u6570\u636e\u6316\u6398.\u4e2d\u56fd\u8ba1\u7b97\u673a\u5b66\u4f1a\u901a\u8baf.2014.6.p36-p43 \u6742\u5fd7
\nHuaping Zhang,Ruiqi Zhang,Yanping Zhao,Baojun Ma;Big Data Modeling and Analysis of Microblog Ecosystem;International Journal of Automation and Computing,2014.11(2) p119-127 EI(14213495) \u6742\u5fd7
\nBaojun Ma, Huaping Zhang, Guoqing Chen, Yanping Zhao, Bart Baesens. Investigating Associative Classification for Software Fault Prediction: An Experimental Perspective. International Journal of Software Engineering and Knowledge Engineering, 2014, 24(1): 61-90.(SCI\/EI) SCI \u6742\u5fd7
\nKai Gao, Hua-ping Zhang, Sheng-wang Li, Wei Wang, Jing Qiu;Research on Classification Algorithm and its Application in Cased-Based Reasoning,Int. J. Computer Applications in Technology,2013 vol.48,p373-381
\n\u5f20\u534e\u5e73,\u4ee5\u4e3b\u4f53\u4e3a\u4e2d\u5fc3\u7684\u5fae\u535a\u8ba1\u7b97\u65b9\u6cd5,\u590d\u6742\u7cfb\u7edf\u4e0e\u590d\u6742\u6027\u79d1\u5b66,2012\u5e74\u7b2c\u56db\u671f p84-91
\n\u5f20\u534e\u5e73,\u674e\u7b11\u4f83.\u57fa\u4e8e\u5168\u751f\u547d\u5468\u671f\u7684\u4e91\u8ba1\u7b97\u5b89\u5168\u9690\u60a3\u5206\u6790\u6a21\u578b,\u7b2c\u56db\u5c4a\u5168\u56fd\u4fe1\u606f\u5b89\u5168\u6f0f\u6d1e\u5206\u6790\u4e0e\u98ce\u9669\u8bc4\u4f30\u5927\u4f1a\uff08VARA 2011\uff09
\n\u5f20\u534e\u5e73,\u738b\u6653\u5189.\u4e2d\u7f8e\u4e91\u8ba1\u7b97\u53d1\u5c55\u6218\u7565\u5bf9\u6bd4\u5206\u6790,\u7b2c\u56db\u5c4a\u5168\u56fd\u4fe1\u606f\u5b89\u5168\u6f0f\u6d1e\u5206\u6790\u4e0e\u98ce\u9669\u8bc4\u4f30\u5927\u4f1a\uff08VARA 2011\uff09
\n\u5f20\u534e\u5e73,\u8d75\u71d5\u5e73\uff0c\u8d75\u8f89\uff0c\u5f6d\u6d01.\u63d0\u4f9b\u77e5\u8bc6\u5173\u8054\u52a8\u6001\u7684\u79d1\u6280\u9879\u76ee\u5e93\u7ba1\u7406,\u7b2c\u516d\u5c4a\u79d1\u6280\u4fe1\u606f\u8d44\u6e90\u5171\u4eab\u4fc3\u8fdb\u56fd\u9645\u4f1a\u8bae\uff08COINFO\u201911\uff09
\nHua-Ping Zhang,Huan-Ping Wu,Jian Gao,Yan-Ping Zhao,Zhong-Liang Lv,Meteorological Bulletin Automatic Generation based on Spatio-Temporal Reasoning,In Proceedings of 2011 International Conference on Machine Learning and Cybernetics in Guangxi, China,2011.7\uff0cp1927-1931 EI \u56fd\u9645\u4f1a\u8bae
\nHua-Ping Zhang, Qian Mo,He-Yang Huang,Structured POI data Extraction from Internet News,In Proceedings of the 4th International Universal Communication Symposium (IUCS 2010) in Beijing, China,2010.10\uff0cp115-120(\u7279\u9080\u62a5\u544a) EI \u56fd\u9645\u4f1a\u8bae
\nHua-Ping ZHANG,Jian GAO,Qian MO,He-Yan HUANG.Incorporating New Words Detection with Chinese Word Segmentation.In Proceedings of CIPS-SIGHAN Joint Conference on Chinese Language Processing (CLP 2010).Beijing, China.2010.8 .p249-251. \u56fd\u9645\u4f1a\u8bae
\nHua-Ping ZHANG,Zhi-Hua LIU,Qian MO,He-Yan HUANG.Chinese Personal Name Disambiguation Based on Person Modeling.In Proceedings of CIPS-SIGHAN Joint Conference on Chinese Language Processing (CLP 2010).Beijing, China.2010.8 .p374-378 \u56fd\u9645\u4f1a\u8bae
\n\u6731\u6d77\u9f99,\u5f20\u534e\u5e73\uff0c\u848b\u9a88.\u9762\u5411\u7f51\u7ad9\u7684\u81ea\u52a8\u5bfc\u822a\u7cfb\u7edf\u7684\u8bbe\u8ba1\u4e0e\u5b9e\u73b0.\u4e2d\u56fd\u65b0\u901a\u4fe1.2010\u5e74\u7b2c6\u671f.p76-80 \u671f\u520a
\n\u79e6\u9e4f,\u5f20\u534e\u5e73,\u5218\u91d1\u521a. \u57fa\u4e8e\u65b0\u8bcd\u53d1\u73b0\u6280\u672f\u7684\u5173\u952e\u8bcd\u63d0\u53d6\u7b97\u6cd5\u7814\u7a76.\u5fae\u8ba1\u7b97\u673a\u4fe1\u606f EI \u6838\u5fc3\u671f\u520a
\n\u674e\u6052\u8bad\uff0c\u5f20\u534e\u5e73,\u5218\u91d1\u521a\uff0eWWW\u8bba\u575b\u91c7\u96c6\u5173\u952e\u6280\u672f\u7814\u7a76\uff3bJ\uff3d\uff0e\u5fae\u8ba1\u7b97\u673a\u4fe1\u606f\uff0e2010\uff0c8-3\uff1a106-107 EI \u6838\u5fc3\u671f\u520a
\n\u5f20\u4eac\u9633, \u5f20\u534e\u5e73, \u5218\u91d1\u521a.\u57fa\u4e8e\u805a\u56e2\u8bcd\u7684\u5927\u89c4\u6a21\u6587\u672c\u8f6c\u8f7d\u8bc6\u522b\u7b97\u6cd5[J]. \u8ba1\u7b97\u673a\u5e94\u7528, 2010, 30(6):224-227 EI \u6838\u5fc3\u671f\u520a
\n\u79e6\u9e4f\uff0c\u5f20\u534e\u5e73,\u57fa\u4e8e\u5173\u952e\u8bcd\u63d0\u53d6\u7684\u68c0\u7d22\u7ed3\u679c\u805a\u7c7b\u7814\u7a76\uff0c\u7b2c\u4e94\u5c4a\u5168\u56fd\u4fe1\u606f\u68c0\u7d22\u5b66\u672f\u4f1a\u8bae(CCIR2009), \u4e0a\u6d77\uff0c2009-11
\n\u674e\u6052\u8bad,\u5f20\u534e\u5e73,\u57fa\u4e8e\u4e3b\u9898\u8bcd\u7684\u7f51\u7edc\u70ed\u70b9\u8bdd\u9898\u53d1\u73b0\uff0c\u7b2c\u4e94\u5c4a\u5168\u56fd\u4fe1\u606f\u68c0\u7d22\u5b66\u672f\u4f1a\u8bae(CCIR2009), \u4e0a\u6d77\uff0c2009-11
\n\u9f9a\u624d\u6625\u3001\u5f20\u534e\u5e73\u3001\u8bb8\u6d2a\u6ce2\u3001\u7a0b\u5b66\u65d7\u3001\u767d\u7855\uff0c\u4e2d\u6587\u77ed\u6587\u672c\u6d41\u7684\u5feb\u901f\u7f16\u7801\u8bc6\u522b\u7b97\u6cd5.In Proceedings of the 7th International Conference of Chinese Computing\uff0c2007
\n\u738b\u601d\u529b\uff0c\u5f20\u534e\u5e73\uff0c\u738b\u658c\uff0c\u53cc\u6570\u7ec4Trie\u6811\u7b97\u6cd5\u4f18\u5316\u53ca\u5176\u5e94\u7528\u7814\u7a76\uff0c\u300a\u4e2d\u6587\u4fe1\u606f\u5b66\u62a5\u300b\uff0c2006 Vol. 20, No. 5: 24-30
\n\u8d3a\u654f,\u5f20\u534e\u5e73,\u7a0b\u5b66\u65d7. \u57fa\u4e8e\u8d1d\u53f6\u65af\u5206\u7c7b\u7684\u6c49\u5b57\u7f16\u7801\u8bc6\u522b\u65b9\u6cd5. \u7b2c\u4e5d\u5c4a\u201c\u8ba1\u7b97\u673a\u79d1\u5b66\u4e0e\u6280\u672f\u201d\u7814\u7a76\u751f\u5b66\u672f\u7814\u8ba8\u4f1a,2006.7.
\n\u8d3a\u654f,\u9f9a\u624d\u6625,\u5f20\u534e\u5e73,\u7a0b\u5b66\u65d7. \u4e00\u79cd\u57fa\u4e8e\u5927\u89c4\u6a21\u8bed\u6599\u7684\u65b0\u8bcd\u53d1\u73b0\u65b9\u6cd5.\u8ba1\u7b97\u673a\u5de5\u7a0b\u4e0e\u5e94\u7528,2007\u7b2c27\u671f.3.
\n\u8d3a\u654f,\u5f20\u534e\u5e73,\u9f9a\u624d\u6625,\u7a0b\u5b66\u65d7 \u4e00\u79cd\u57fa\u4e8e\u53cc\u5b57\u8026\u5408\u5ea6\u7684\u672a\u767b\u5f55\u8bcd\u8bc6\u522b\u7b97\u6cd5..2007\u5168\u56fd\u7f51\u7edc\u4e0e\u4fe1\u606f\u5b89\u5168\u6280\u672f\u7814\u8ba8.
\n\u4fde\u9e3f\u9b41,\u5f20\u534e\u5e73,\u5218\u7fa4, \u5415\u5b66\u5f3a\uff0c\u65bd\u6c34\u624d. \u57fa\u4e8e\u5c42\u53e0\u9690\u9a6c\u5c14\u53ef\u592b\u6a21\u578b\u7684\u4e2d\u6587\u547d\u540d\u5b9e\u4f53\u8bc6\u522b, \u901a\u4fe1\u5b66\u62a5, 2006?27(2)?:87-94
\n” Hua-Ping ZHANG, Jian Sun, Bin WANG, Shuo BAI. Computation on Sentence Semantic Distance for Novelty Detection; Chinese Journal of Computer Science and Tech. vol.3, 2005 DOI: 10.1007\/s11390-005-0331-7
\n\u88ab\u5f15\u9891\u6b21: 5 (\u6765\u81ea\u6240\u6709\u6570\u636e\u5e93) ”
\nHua-Ping Zhang, Hong-Bo Xu, Shuo Bai, Bin Wang, Xue-Qi Cheng. Experiments in TREC 2004 Novelty Track at CAS-ICT. In Proc. of the 13th Text Retrieval Conference, Gaithersburg, Maryland, November, 2004, pp287
\n\u5f20\u534e\u5e73,\u5218\u7fa4. \u57fa\u4e8e\u89d2\u8272\u6807\u6ce8\u7684\u4e2d\u56fd\u4eba\u540d\u81ea\u52a8\u8bc6\u522b\u7814\u7a76. \u8ba1\u7b97\u673a\u5b66\u62a5, vol.27, No.1, 2004, pp.85-91
\n\u5218\u7fa4,\u5f20\u534e\u5e73,\u4fde\u9e3f\u9b41,\u7a0b\u5b66\u65d7. \u57fa\u4e8e\u5c42\u53e0\u9690\u9a6c\u6a21\u578b\u7684\u6c49\u8bed\u8bcd\u6cd5\u5206\u6790; \u8ba1\u7b97\u673a\u7814\u7a76\u4e0e\u53d1\u5c55, 41\u5377, No.8, 2004, pp.1421-pp.1429
\nHua-Ping ZHANG, Qun LIU, Hong-Kui YU, Xue-Qi CHENG, Shuo BAI. Chinese Name Entity Recognition Using Role Model. Special issue “Word Formation and Chinese Language processing” of the International Journal of Computational Linguistics and Chinese Language Processing, vol.8, No.2, 2003, pp. 29-602
\nHua-Ping ZHANG, Qun LIU, Xue-Qi CHENG, Hao Zhang, Hong-Kui Yu. Chinese Lexical Analysis Using Hierarchical Hidden Markov Model, Second SIGHAN workshop affiliated with 41st ACL; Sapporo Japan, July, 2003, pp. 63-70
\nHua-Ping ZHANG, Hong-Kui Yu, De-Yi Xiong, Qun LIU. HHMM-based Chinese Lexical Analyzer ICTCLAS, Second SIGHAN workshop affiliated with 41th ACL; Sapporo Japan, July, 2003, pp. 184-187
\nKevin Zhang (Hua-Ping Zhang), Qun Liu, Hao Zhang, Xueqi Cheng. Automatic Recognition of Chinese Unknown Words Based on Role Tagging, First SIGHAN affiliated with 19th COLING, September 2002, pp71-77
\n\u5f20\u534e\u5e73,\u5218\u7fa4.\u57fa\u4e8eN-\u6700\u77ed\u8def\u5f84\u7684\u4e2d\u6587\u8bcd\u8bed\u7c97\u5206\u6a21\u578b. \u4e2d\u6587\u4fe1\u606f\u5b66\u62a5. 2002.9, Vol.16(5):pp.1-pp.7;
\n\u5f20\u534e\u5e73,\u5218\u7fa4. \u57fa\u4e8e\u89d2\u8272\u6807\u6ce8\u7684\u4e2d\u56fd\u4eba\u540d\u81ea\u52a8\u8bc6\u522b\u7814\u7a76. \u7b2c\u4e03\u5c4a\u4e2d\u56fd\u79d1\u5b66\u9662\u8ba1\u7b97\u673a\u4e13\u4e1a\u7814\u7a76\u751f\u5b66\u672f\u4f1a\u8bae, 2002.7, \u56db\u5ddd\u5e7f\u5143
\nJian Sun, Wenfeng Pan, Hua-ping Zhang. TREC 2003 Novelty and Web Track at ICT, In Proc. of the Twelfth Text Retrieval Conference, Gaithersburg, Maryland, November 18-21, 2003, pp.138
\n\u4fde\u9e3f\u9b41,\u5f20\u534e\u5e73,\u5218\u7fa4. \u57fa\u4e8e\u89d2\u8272\u6807\u6ce8\u7684\u4e2d\u6587\u673a\u6784\u540d\u8bc6\u522b, Proc. of 20th International Conference on Computer Processing of Oriental Languages, 2003\u5e748\u6708, pp79-87, \u4e2d\u56fd\uff0c\u6c88\u9633<\/p>\n","protected":false},"excerpt":{"rendered":"
Research Projects\uff1a Research on Machine T … \u7ee7\u7eed\u9605\u8bfb →<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":581982,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[38],"tags":[],"_links":{"self":[{"href":"http:\/\/www.nlpir.org\/wordpress\/wp-json\/wp\/v2\/posts\/1201"}],"collection":[{"href":"http:\/\/www.nlpir.org\/wordpress\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.nlpir.org\/wordpress\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.nlpir.org\/wordpress\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/www.nlpir.org\/wordpress\/wp-json\/wp\/v2\/comments?post=1201"}],"version-history":[{"count":13,"href":"http:\/\/www.nlpir.org\/wordpress\/wp-json\/wp\/v2\/posts\/1201\/revisions"}],"predecessor-version":[{"id":581984,"href":"http:\/\/www.nlpir.org\/wordpress\/wp-json\/wp\/v2\/posts\/1201\/revisions\/581984"}],"wp:featuredmedia":[{"embeddable":true,"href":"http:\/\/www.nlpir.org\/wordpress\/wp-json\/wp\/v2\/media\/581982"}],"wp:attachment":[{"href":"http:\/\/www.nlpir.org\/wordpress\/wp-json\/wp\/v2\/media?parent=1201"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.nlpir.org\/wordpress\/wp-json\/wp\/v2\/categories?post=1201"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.nlpir.org\/wordpress\/wp-json\/wp\/v2\/tags?post=1201"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}