[1] 马莹莹.对网络游戏产业同质化现象的分析[J].科技和产业,2012,12(8):13-15.(MA Y Y. Analysis the online game industry homogenization phenomenon[J]. Science Technology and Industry, 2012, 12(8):13-15.) [2] 王研,赵旭江.游戏设计中的用户体验影响探析注--以"英雄联盟"为例[J].设计,2014(2):118-119.(WANG Y, ZHAO X J. The study on the influence of user experience in game design--an instance of "league of legends"[J]. Design, 2014(2):118-119.) [3] 顾森.基于大规模语料的新词发现算法[J].程序员,2012(7):54-57.(GU S. New word discovery algorithm based on large scale corpus[J]. Programmer, 2012(7):54-57.) [4] LEHMANN J, ISELE R, JAKOB M, et al. DBpedia-a large-scale, multilingual knowledge base extracted from Wikipedia[J]. Semantic Web, 2015, 6(2):167-195. [5] BOLLACKER K, EVANS C, PARITOSH P, et al. Freebase:a collaboratively created graph database for structuring human knowledge[C]//Proceedings of the 2008 ACM SIGMOD International Conference on Management of Data. New York:ACM, 2008:1247-1250. [6] RUAN T, LI Y, WANG H, et al. From queriability to informativity, assessing "quality in use" of DBpedia and YAGO[C]//Proceedings of the 2016 International Semantic Web Conference. Berlin:Springer, 2016:52-68. [7] JUSTESON J S, KATZ S M. Technical terminology:some linguistic properties and an algorithm for identification in text[J]. Natural Language Engineering, 1995, 1(1):9-27. [8] VILARES J, ALONSO M A, VILARES M. Extraction of complex index terms in non-English IR:a shallow parsing based approach[J]. Information Processing & Management, 2008, 44(4):1517-1537. [9] BLEI D M. Probabilistic topic models[J]. Communications of the ACM, 2012, 55(4):77-84. [10] BOLSHAKOVA E, LOUKACHEVITCH N, NOKEL M. Topic models can improve domain term extraction[C]//Proceedings of the 2013 European Conference on Information Retrieval. Berlin:Springer, 2013:684-687. [11] 周浪,张亮,冯冲,等.基于词频分布变化统计的术语抽取方法[J].计算机科学,2009,36(5):177-180.(ZHOU L, ZHANG L, FENG C, et al. Terminology extraction based on statistical word frequency distribution variety[J]. Computer Science, 2009, 36(5):177-180.) [12] GELBUKH A, SIDOROV G, LAVIN-VILLA E, et al. Automatic term extraction using log-likelihood based comparison with general reference corpus[C]//Proceedings of the 2010 International Conference on Application of Natural Language to Information Systems. Berlin:Springer, 2010:248-255. [13] 陈士超,郁滨.面向术语抽取的双阈值互信息过滤方法[J].计算机应用,2011,31(4):1070-1073.(CHEN S C, YU B. Method of mutual information filtration with dual threshold for term extraction[J]. Journal of Computer Applications, 2011, 31(4):1070-1073.) [14] 樊梦佳,段东圣,杜翠兰,等.统计与规则相融合的领域术语抽取算法[J].计算机应用研究,2016,33(8):2283-2306.(FAN M J, DUAN D S, DU C L, et al. Domain-specific terms extraction algorithm based on combination of statistics and rules[J]. Application Research of Computers, 2016, 33(8):2283-2306.) [15] BONIN F, DELL'ORLETTA F, VENTURI G, et al. A contrastive approach to multi-word term extraction from domain corpora[C]//Proceedings of the 7th International Conference on Language Resources and Evaluation. Malta:[s.n.], 2010:19-21. [16] ZHANG M, LI K, HU Y. A real-time classification method of power quality disturbances[J]. Electric Power Systems Research, 2011, 81(2):660-666. |