Computer Science ›› 2015, Vol. 42 ›› Issue (2): 233-236.doi: 10.11896/j.issn.1002-137X.2015.02.048

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Temporal Weight in Dynamic Topic Tracking

WU Shu-fang and XU Jian-min   

  • Online:2018-11-14 Published:2018-11-14

Abstract: A new dynamic topic tracking model was proposed based on Bayesian belief network,which is used as the representation model in this paper.We used time distance to quantify temporal information which is then used to dynamically adjust feature weight.A weight decay function was given to deal with the long-time disappearing features.If the weight of a feature is lower than the given threshold after decaying,the feature will be viewed as redundant information.TDT4 corpora and DET curves were used to run experiments.We firstly obtained the optimal time distance threshold α and the threshold β to determine whether a feature is redundant information.Experimental results show that the tracking performance of dynamic topic models can be effectively improved by using temporal weight.

Key words: Topic tracking,Temporal weight,Decay,Bayesian belief network

[1] Allan J,Papka J R,Lavrenko V.On-Line new event detectionand tracking[C]∥the 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval,1998.New York:ACM,1998:37-75
[2] Larkey L S,Feng F F,Connell M,et al.Language-specific mo-dels in multilingual topic tracking[C]∥Proceedings of the 27th Annual Int’l Conference on Research and Development in Information Retrieval,2004.New York:ACM,2004:402-409
[3] Nallpati R.Semantic language models for topic detection andtracking[C]∥Proceedings of the HLT-NAACL 2003 Student Research Workshop,2003.USA,2003:1-6
[4] 洪宇,张宇,范基礼,等.基于语义域语言模型的中文话题关联检测[J].软件学报,2008,19(9):2265-2275
[5] 于满泉,骆卫华,许洪波,等.话题识别与跟踪中的层次化话题识别技术研究[J].计算机技术与发展,2006,43(3):489-495
[6] 赵华,赵铁军,于浩,等.面向动态演化的话题检测研究[J].高技术通讯,2006,12(16):1230-1235
[7] 洪宇,仓玉,姚建民.话题跟踪中静态和动态话题模型的核捕捉衰减[J].软件学报,2012,23(5):1100-1119
[8] Thomas T,Stumpf M P.Inference of temporally varying Bayesian networks[J].Systems Biology,2012,28(24):3298-3305
[9] 邓冬梅,朱建,陈端兵,等.时序阵发性对信息传播的影响[J].计算机科学,2013,40(11A):26-28
[10] Yang Y,Pierce T,Carbonell J.A study on retrospective and On-Line Event detection[C]∥the 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval,1998.New York:ACM,1998:28-36
[11] 贾自艳,何清,张俊海,等.一种基于动态进化模型的事件探测和追踪算法[J].计算机研究与发展,2004,41(7):1273-1280
[12] 赵华,赵铁军,张姝,等.基于内容分析的话题检测研究[J].哈尔滨工业大学学报,2006,10(38):1740-1743
[13] 洪宇.基于语义结构和时序特征的话题检测与跟踪技术研究[D].哈尔滨:哈尔滨工业大学,2009
[14] Bao L L,Wen J L,Qin L.Enhancing topic tracking with tempo-ral information[C]∥the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval,2006.New York:ACM,2006:667-668 (下转第240页)(上接第236页)
[15] Kimura M,Saito K,Ohara K,et al.Opinion formation by voter model with temporal decay dynamics[J].Machine Learning and Knowledge Discovery in Databases,2012,7524:565-580
[16] 廖君华,孙克迎,钟丽霞.一种基于时序主题模型的网络热点话题演化分析系统[J].图书情报工作,2013,57(9):96-102
[17] Kaur K.Topic tracking techniques for natural language processing[C]∥ACAI ’11 Proceedings of the International Conference on Advances in Computing and Artificial Intelligence.2011:65-71
[18] 张晓艳,王挺,梁晓波.LDA模型在话题追踪中的应用[J].计算机科学,2011,38(10A):136-152
[19] The National Institute of Standards and Technology (NIST).The 2005 Topic Detection and Tracking (TDT2005) Task Definition and Evaluation Plan [Z].
[20] 骆卫华,刘群,程学旗.话题检测与跟踪技术的发展与研究[J].全国计算语言学联合学术会议,2003,10(38):1740-1743
[21] de Cristo M A P,Calado P P,de Lourdes da Silveira M,et al.Bayesian belief networks for IR[J].International Journal of Approximate Reasoning,2003,34:163-179
[22] Namsrai E,Munkhdalai T,Li M J,et al.A feature selection-based ensemble method for arrhythmia classification[J].Journal of Information Processing Systems,2013,9(1):31-40
[23] 朱靖波,陈文亮.基于FIFA的主题相似性计算模型[J].东北大学学报:自然科学版,2003,24(11):1041-1044
[24] Dash S K,Reddy K S,Pujari A K.Adaptive Naive Bayes method for masquerade detection[J].Journal of security and communication networks,2011,4(4):410-417
[25] 张晓艳.新闻话题表示模型和关联追踪技术研究[D].长沙:国防科技大学,2010
[26] Martin A,Doddington G,Kamm T,et al.The DET curve in assessment of detection task Performance[C]∥Eurospeech,1997.1997:37-41

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