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黄德根
2023-05-09 16:32
  • 黄德根
  • 黄德根 - 博士 教授 博导-大连理工大学-计算机科学与技术学院-个人资料

近期热点

资料介绍

个人简历


个人简介
Personal Profile
福州大学计算机系学士,大连理工大学计算力学硕士,大连理工大学计算机应用技术博士。1988年12月硕士毕业后留校工作,曾在日本国立德岛大学任高级访问学者,主持开发过“孙悟空中日机器翻译系统”等系列商用软件,现为大连理工大学计算机学院教授、博导。长期专注于汉语和日语的自然语言处理研究,擅长词法分析、命名实体自动识别、短语自动识别、中日机器翻译、社交媒体文本处理等NLP研究。近年来围绕词向量、NLP深度学习、神经网络机器翻译等开展研究。
教育经历
1994.4 2004.1 大连理工大学 计算机应用 博士
1986.9 1988.12 大连理工大学 计算机应用 硕士
1979.9 1982.7 福建省邵武市第一中学 无
1982.9 1986.7 福州大学 计算机技术 学士

工作经历
2006.6 至今 大连理工大学 教授
1997.8 2006.5 大连理工大学 副教授
1991.12 1997.7 大连理工大学 讲师
1989.3 1991.11 大连理工大学 助教
专利
一种基于汉语简单名词短语的汉语最长名词短语识别方法
一种基于信息熵和术语可信度的金融领域术语识别方法
一种基于循环神经网络的中文人名识别方法
医生学术信息管理系统软件V1.0
一种基于滑动语义串匹配的句法分析方法
著作成果
机器翻译中的英语浅层句法分析
周惠巍(*) ,黄德根, 中文模糊限制信息检测研究,大连理工大学出版社, 150000,2017.02.27
科研项目
基于深度学习的句子相似度计算研究, 国家自然科学基金项目, 2016/08/18, 进行
Mining English-Chinese Named Entity Pairs Based on Multi-feature Integrated Models from Comparable Corpora, 2010/01/01, 完成
大学数字化校园建设软件移动模块开发, 2014/06/30-2015/06/29, 进行
多资源的摘要信息形成, 企事业单位委托科技项目, 2013/03/01-2013/12/31, 进行
多资源的摘要信息生成工具的开发, 2013/03/01-2013/12/31, 进行
多语言实用新型机器翻译方法的关键问题的探索, 2008/05/01-2009/03/01, 完成

研究领域


机器翻译
自然语言处理
文本知识挖掘与知识工程"研究领域
自然语言处理
机器翻译
机器学习"

近期论文


[1]Zhang, Yunxia,Huang, Degen,Lin, Hongmei,Zou, Li.Knowledge reasoning approach with linguistic-valued intuitionistic fuzzy credibility[J],INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS,2020,11(1):169-184
[2]He, Xinyu,Li, Lishuang,Song, Xingchen,Huang, Degen,Ren, Fuji.Multi-Level Attention Based BLSTM Neural Network for Biomedical Event Extraction[J],IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS,2019,E102D(9):1842-1850
[3]Huang, Degen,Pei, Jiahuan,Zhang, Cong,Huang, Kaiyu,Ma, Jianjun.Incorporating Prior Knowledge into Word Embedding for Chinese Word Similarity Measurement[J],ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATIONPROCESSING,2018,17(3)
[4]张婧,黄德根,黄锴宇,刘壮,孟祥主.基于λ-主动学习方法的中文微博分词[J],清华大学学报(自然科学版),2018,03:260-265
[5]Zhang, Jing,Huang, Degen,Huang, Kaiyu,Liu, Zhuang,Ren, Fuji.Corpus Expansion for Neural CWS on Microblog-Oriented Data with lambda-Active Learning Approach[J],IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS,2018,E101D(3):778-785
[6]Liu, Xiao-Xia,Huang, De-Gen,Zhang, Shun-Miao.A distributional semantics based syntagmatic association measuring method[J],Journal of Information Hiding and Multimedia Signal Processing,2018,9(2):461-473
[7]Li, Lishuang,He, Xinyu,Zheng, Jieqiong,Huang, Degen,Ren, Fuji.An Active Transfer Learning Framework for Protein-Protein Interaction Extraction[J],IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS,2018,E101D(2):504-511
[8]马建军,黄德根.Recognition of Syntactic Relationship between Clauses Using CRFs[J],International Journal of Advanced Intelligence,2018,10(1):1-14
[9]张婧,黄锴宇,梁晨,黄德根.面向中文社交媒体语料的无监督新词识别研究[J],中文信息学报,2018,32(3):17-25,33
[10]周惠巍,杨云龙,宁时贤,刘壮,浪成堃,林英玉,黄德根.Combining Context and Knowledge Representations for Chemical-disease Relation Extraction[J],IEEE/ACM transactions on computational biology and bioinformatics,2018,2018
[11]Huang Degen,Zhang Jing,Huang Kaiyu.Automatic Microblog-Oriented Unknown Word Recognition with Unsupervised Method[J],CHINESE JOURNAL OF ELECTRONICS,2018,27(1,1):1-8
[12]马建军,黄德根.Syntactic parsing of clause constituents for statistical machine translation[J],International Journal of Computational Science and Engineering,2018,17(1):126-132
[13]Li, Lishuang,Wan, Jia,Huang, Degen.Biomedical Domain-Oriented Word Embeddings via Small Background Texts for Biomedical Text Mining Tasks[A],2018,10619:554-564
[14]Huang, Degen,Jiang, Zhenchao,Zou, Li,Li, Lishuang.Drug-drug interaction extraction from biomedical literature using support vector machine and long short term memory networks[J],INFORMATION SCIENCES,2017,415:100-109
[15]Sun, S.,Huang, D.,Zhang, J..Construction of the recognition model for trigger words of Chinese acupuncture and moxibustion events[J],Journal of Information Hiding and Multimedia Signal Processing,2017,8(6):1283-1293
[16]宋鼎新,黄德根.一种融合句法短语的汉英统计机器翻译方法[J],小型微型计算机系统,2017,38(10):2197-2201
[17]Liu, Xiaoxia,Huang, Degen.Translation oriented sentence level collocation identification and extraction[A],13th China Workshop on Machine Translation, CWMT 2017,2017,787:78-89
[18]Zhou, Huiwei,Yang, Yunlong,Liu, Zhuang,Lin, Yingyu,Zhu, Pengfei,Huang, Degen.Jointly learning bilingual sentiment and semantic representations for cross-language sentiment classification[A],23rd China conference on Information Retrieval, CCIR 2017,2017,10390 LNCS:149-160
[19]Zhou, Huiwei,Jia, Chen,Yang, Yunlong,Ning, Shixian,Lin, Yingyu,Huang, Degen.Combining large-scale unlabeled corpus and lexicon for Chinese polysemous word similarity computation[A],23rd China conference on Information Retrieval, CCIR 2017,2017,10390 LNCS:198-210
[20]蒋振超,李丽双,黄德根.基于词语关系的词向量模型[J],中文信息学报,2017,31(3):25-31
[21]田雪,黄德根.一种混合的汉语简单名词短语识别方法[J],小型微型计算机系统,2017,38(4):749-754
[22]李丽双,黄德根.Biomedical Domain-oriented Word Embeddings via Small Background Texts for Biomedical Text Mining Tasks[A],2017
[23]黄德根.Dual interaction model for machine comprehension[A],2017,387-397
[24]刘彤,黄德根,张聪.基于多模型融合的汉语介词短语识别[J],中文信息学报,2017,31(6):25-32
[25]Huang, D. G.,Guo, L.,Yang, H. Y.,Wei, X. P.,Jin, B..Chemical Medicine Classification Through Chemical Properties Analysis[J],IEEE ACCESS,2017,5:1618-1623
[26]张聪,裴家欢,黄锴宇,黄德根,殷章志.基于语义图优化算法的中文微博观点摘要研究[J],山东大学学报(理学版),2017,52(7):59-65
[27]李丽双,蒋振超,万佳,黄德根.利用词表示和深层神经网络抽取蛋白质关系[J],中文信息学报,2017,31(1):31-40
[28]Dandan, Zhao,Degen, Huang,Yuzhe, Wang,Qiong, Wu,Ge, Zhao.The analysis and recognition of Chinese temporal expressions based on a mixtured model using statistics and rules[J],International Journal of Computational Science and Engineering,2017,15(1-2):153-161
[29]Liu, Zhuang,Huang, Degen,Zhang, Yunxia,Zhang, Chuan.A Hierarchical Iterative Attention Model for Machine Comprehension[A],NATURAL LANGUAGE PROCESSING AND INFORMATION SYSTEMS, NLDB 2017,2017,10260:341-352
[30]Sun, Shuihua,Huang, Degen,Zhang, Jing.Research on entity relation extraction in TCM acupuncture and moxibustion field[J],Journal of Information Hiding and Multimedia Signal Processing,2017,8(2):358-367
[31]Zhang, Shun-Miao,Huang, Degen,Chu, Shu-Chuan,Sung, Tien-Wen,Wu, Tsu-Yang.An Adaptive ACO-Based Node Deployment Algorithm in Wireless Sensor Networks[J],JOURNAL OF INTERNET TECHNOLOGY,2017,18(5):1193-1202
[32]Liu, Zhuang,Huang, Degen,Huang, Kaiyu,Zhang, Jing.DIM Reader: Dual Interaction Model for Machine Comprehension[A],CHINESE COMPUTATIONAL LINGUISTICS AND NATURAL LANGUAGE PROCESSING BASEDON NATURALLY ANNOTATED BIG DATA, CCL 2017,2017,10565:387-397
[33]Li, Lishuang,Zheng, Jieqiong,Wan, Jia,Huang, Degen,Lin, Xiaohui.Biomedical Event Extraction via Long Short Term Memory Networks along Dynamic Extended Tree[A],IEEE International Conference on Bioinformatics and Biomedicine (IEEEBIBM),2016,739-742
[34]Li, Lishuang,Jiang, Zhenchao,Liu, Yang,Huang, Degen.Word Representation on Small Background Texts[A],5th National Conference on Social Media Processing (SMP),2016,669:143-150
[35]Li, Lishuang,Jin, Liuke,Jiang, Yuxin,Huang, Degen.Recognizing biomedical named entities based on the sentence vector/twin word embeddings conditioned bidirectional LSTM[A],15th China National Conference on Chinese Computational Linguistics, CCL 2016 and 4th International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2016,2016,10035 LNAI:165-176
[36]Zhou, Huiwei,Xu, Junli,Yang, Yunlong,Deng, Huijie,Chen, Long,Huang, Degen.Chinese hedge scope detection based on structure and semantic information[A],15th China National Conference on Chinese Computational Linguistics, CCL 2016 and 4th International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2016,2016,10035 LNAI:204-215
[37]Li, Lishuang,Qin, Meiyue,Huang, Degen.Biomedical Event Trigger Detection Based on Hybrid Methods Integrating Word Embeddings[A],1st China Conference on Knowledge Graph and Semantic Computing (CCKS),2016,650:67-79
[38]Zhang, Yunxia,Huang, Degen,Zou, Li,Wang, Ying.RESEARCH ON MODUS PONENS AND MODUS TOLLENS ON LINGUISTIC-VALUED INTUITIONISTIC FUZZY LATTICE IMPLICATION ALGEBRA[A],12th International Conference on Fuzzy Logic and IntelligentTechnologies in Nuclear Science (FLINS),2016,10:535-540
[39]Zhang, Y.,Huang, D.,Zou, L..Linguistic modus ponens and linguistic modus tollens with lattice order[J],ICIC Express Letters,2016,10(8):1965-1970
[40]Zhao, Qingchun,Yin, Hongxi,Shi, Wenbo,Huang, Degen,Liu, Fulai.Identification and suppression of the time delay signature of wavelength chaos[J],OPTICAL REVIEW,2016,23(4):689-694
[41]Li, Lishuang,Liu, Shanshan,Qin, Meiyue,Wang, Yiwen,Huang, Degen.Extracting Biomedical Event with Dual Decomposition Integrating Word Embeddings[J],IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS,2016,13(4):669-677
[42]Jiang, Zhenchao,Li, Lishuang,Huang, Degen.An Unsupervised Graph Based Continuous Word Representation Method for Biomedical Text Mining[J],IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS,2016,13(4):634-642
[43]Guo, Li,Jin, Bo,Yao, Cuili,Yang, Haoyu,Huang, Degen,Wang, Fei.Which Doctor to Trust: A Recommender System for Identifying the Right Doctors[J],JOURNAL OF MEDICAL INTERNET RESEARCH,2016,18(7)
[44]Qin, Jie,Zhao, Qingchun,Xu, Dongjiao,Yin, Hongxi,Chang, Ying,Huang, Degen.Optical packet header identification utilizing an all-optical feedback chaotic reservoir computing[J],MODERN PHYSICS LETTERS B,2016,30(16)
[45]牛萍,黄德根.TF-IDF与规则相结合的中文关键词自动抽取研究[J],小型微型计算机系统,2016,37(4):711-715
[46]Zhou, Huiwei,Deng, Huijie,Chen, Long,Yang, Yunlong,Jia, Chen,Huang, Degen.Exploiting syntactic and semantics information for chemical-disease relation extraction[J],DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION,2016,2016
[47]李丽双,何红磊,刘珊珊,黄德根.基于词表示方法的生物医学命名实体识别[J],小型微型计算机系统,2016,37(2):302-307
[48]王冠群,田雪,黄德根,张婧.中文微博观点句识别及要素抽取研究[J],数据采集与处理,2016,31(1):160-167
[49]黄德根,马建军.Combining word embedding and semantic lexicon for Chinese word similarity computation[A],2016,766-777
[50]黄德根,马建军.DUT-NLP-CH @ NTCIR-12 Temporalia Temporal Intent Disambiguation Subtask[A],2016,253-257
[51]孙水华,黄德根,牛萍.中医针灸领域术语自动抽取研究[J],中文信息学报,2016,30(3):118-124
[52]马建军,裴家欢,黄德根.CRFs融合语义信息的英语功能名词短语识别[J],中文信息学报,2016,30(6):59-66
[53]Jiang, Zhenchao,Li, Lishuang,Huang, Degen.A general protein-protein interaction extraction architecture based on word representation and feature selection[J],INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS,2016,14(3):276-291
[54]王丹丹,黄德根,高扬.基于音节划分及短语表优化的英汉人名音译研究[J],中文信息学报,2016,30(3):96-102
[55]李丽双,郭瑞,黄德根,周惠巍.基于迁移学习的蛋白质交互关系抽取[J],中文信息学报,2016,30(2):160-167
[56]Song, Ding-Xin,Huang, De-Gen,Li, Li-Shuang,He, Hong-Lei.Biomedical named entity recognition based on feature selection and word representations[J],Journal of Information Hiding and Multimedia Signal Processing,2016,7(4):729-740
[57]Song D.,Li L.,Jin L.,Huang D..Biomedical named entity recognition based on recurrent neural networks with different extended methods[A],2016,16(1):17-31
[58]Guo, Li,Jin, Bo,Yu, Ruiyun,Yao, Cuili,Sun, Chonglin,Huang, Degen.Multi Label Classification Methods for Green Computing and Application for Mobile Medical Recommendations[J],IEEE ACCESS,2016,4:3201-3209
[59]Song, Dingxin,Li, Lishuang,Jin, Liuke,Huang, Degen.Biomedical named entity recognition based on recurrent neural networks with different extended methods[J],INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS,2016,16(1):17-31
[60]韩霞,黄德根.基于半监督隐马尔科夫模型的汉语词性标注研究[J],小型微型计算机系统,2015,36(12):2813-2816
[61]Zhou, Huiwei,Yang, Huan,Chen, Long,Liu, Zhenwei,Ma, Jianjun,Huang, Degen.Combining Feature-Based and Instance-Based Transfer Learning Approaches for Cross-Domain Hedge Detection with Multiple Sources[A],4th National Conference on Social Media Processing (SMP),2015,568:225-232
[62]桑乐园,黄德根.基于简单名词短语的汉语介词短语识别研究[J],中文信息学报,2015,29(6):8-12,22
[63]周惠巍,杨欢,张静,亢世勇,黄德根.中文模糊限制语语料库的研究与构建[J],中文信息学报,2015,29(6):83-89
[64]桑乐园,黄德根.基于简单名词短语的汉语介词短语识别研究[A],中国中文信息学会2015学术年会(CIPS2015)暨第十四届全国计算语言学学术会议(CCL2015)、第三届基于自然标注大数据的自然语言处理国际学术研讨会(NLP-NABD2015),2015,1-7
[65]Cao, Jingxiang,Li, Dan,Huang, Degen.A Three-Layered Collocation Extraction Tool and Its Application in China English Studies[A],14th China National Conference on Computational Linguistics (CCL) / 3rdInternational Symposium on Natural Language Processing Based onNaturally Annotated Big Data (NLP-NABD),2015,9427:38-49
[66]Li, Lishuang,Jin, Liuke,Huang, Degen.Exploring Recurrent Neural Networks to Detect Named Entities from Biomedical Text[A],14th China National Conference on Computational Linguistics (CCL) / 3rdInternational Symposium on Natural Language Processing Based onNaturally Annotated Big Data (NLP-NABD),2015,9427:279-290
[67]Li, Lishuang,Zheng, Jieqiong,Song, Dingxin,Guo, Rui,Huang, Degen.Protein-Protein Interaction Extraction Based on Actively Transfer Learning[A],IEEE International Conference on Bioinformatics and Biomedicine,2015,1717-1717
[68]Jiang, Zhenchao,Li, Lishuang,Huang, Degen,Jin, Liuke.Training Word Embeddings for Deep Learning in Biomedical Text Mining Tasks[A],IEEE International Conference on Bioinformatics and Biomedicine,2015,625-628
[69]Li, Lishuang,Jin, Liuke,Jiang, Zhenchao,Song, Dingxin,Huang, Degen.Biomedical Named Entity Recognition Based on Extended Recurrent Neural Networks[A],IEEE International Conference on Bioinformatics and Biomedicine,2015,649-652
[70]Zhou H.,Deng H.,Yang H.,Huang D.,Li Y..Co-training for detecting hedges and their scope in biomedical texts[J],Journal of Computational Information Systems,2015,11(20):7387-7395
[71]Li, Dan,Cao, Jingxiang,Huang, Degen.A Hierachical Collocation Extraction Tool[A],IEEE 5th International Conference on Big Data and Cloud Computing(BDCloud),2015,51-55
[72]Zhou, Huiwei,Deng, Huijie,Huang, Degen,Zhu, Minling.Hedge Scope Detection in Biomedical Texts: An Effective Dependency-Based Method[J],PLOS ONE,2015,10(7):e0133715
[73]Zhou H.,Chen L.,Shi F.,Huang D..Learning bilingual sentimentword embeddings for cross-language sentiment classification[A],53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, ACL-IJCNLP 2015,2015,1:430-440
[74]桑乐园,徐新峰,张婧,黄德根.基于广义 Jaccard 系数的微博情感新词判定[J],山东大学学报(理学版),2015,50(7):71-75,79
[75]Li, Lishuang,Guo, Rui,Jiang, Zhenchao,Huang, Degen.An approach to improve kernel-based Protein-Protein Interaction extraction by learning from large-scale network data[J],METHODS,2015,83:44-50
[76]张顺淼,黄德根.基于概率母函数的无线传感器网络功率控制研究[J],小型微型计算机系统,2015,36(4):739-743
[77]孙水华,丁鹏,黄德根.利用句法短语改善统计机器翻译性能[J],中文信息学报,2015,29(2):95-102
[78]Li, Lishuang,Zhang, Jing,Jin, Liuke,Guo, Rui,Huang, Degen.A distributed meta-learning system for Chinese entity relation extraction[J],NEUROCOMPUTING,2015,149(PB):1135-1142
[79]李丽双,王意文,黄德根.基于信息熵和词频分布变化的术语抽取研究[J],中文信息学报,2015,29(1):82-87
[80]黄德根.Augmenting Performance of SMT Models by Deploying Fine Tokenization of the Text and Part-of-Speech Tag[J],Computer and Information Science,2015,8(1):119-127

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