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话题检测与跟踪的评测及研究综述 被引量：153

Topic Detection and Tracking Review
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摘要 话题检测与跟踪是一项面向新闻媒体信息流进行未知话题识别和已知话题跟踪的信息处理技术。自从1996年前瞻性的探索以来,该领域进行的多次大规模评测为信息识别、采集和组织等相关技术提供了新的测试平台。由于话题检测与跟踪相对于信息检索、信息挖掘和信息抽取等自然语言处理技术具备很多共性,并面向具备突发性和延续性规律的新闻语料,因此逐渐成为当前信息处理领域的研究热点。本文简要介绍了话题检测与跟踪的研究背景、任务定义、评测方法以及相关技术,并通过分析目前TDT领域的研究现状展望未来的发展趋势。 Topic detection and tracking, as one of natural language processing technologies, is to detect unknown topic and track known topic from the information of news medium. Since its pilot research in 1996, several largescale evaluation conferences have provided a good environment for evaluating technologies of recognition, collection and organization. As topic detection and tracking shares similar challenges with information retrieval, data mining and information extraction in abrupt and successive data, it has become a hot research issue in the field of nature language processing. This paper introduced the background, definition, evaluation and methods in topic detection and tracking, and explored its future development trend through analyzing current research.
作者 洪宇 张宇 刘挺 李生
机构地区 哈尔滨工业大学计算机科学与技术学院信息检索研究室
出处 《中文信息学报》 CSCD 北大核心 2007年第6期71-87,共17页 Journal of Chinese Information Processing
基金 国家自然科学基金资助项目(60435020 60575042 60503072)
关键词 计算机应用 中文信息处理 综述 话题检测与跟踪 自然语言处理 事件 新闻报道 computer application Chinese information processing overview topic detection and tracking natural language processing event news story
分类号 TP391 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献68

  • 1J Allan, J Carbonell, G Doddington, J Yamron and Y Yang. Topic detection and tracking pilot study: Final report [A]. In: Proceedings of the DARPA Broadcast News Transcription and Understanding Workshop [C]. Virginia: Lansdowne, February 1998, 194-218.
  • 2James Allan, Ron Papka, Victor Lavrenko. On-line New Event Detection and Tracking [A]. In: the proceedings of SIGIR'98 [C]. University of Massachusetts: Amherst, 1998, 37-45.
  • 3J Allan, V Lavrenko, and R Swan. Explorations within topic tracking and detection [A]. In: Topic Detection and Tracking: Event-based Information Organization [C]. Kluwer Academic: Massachusetts, 2002, 197-224.
  • 4J M Sehultz and M Y Liberman. Towards an universal dictionary for multi-language IR applications [A]. In:Topic Detection and Tracking: Event-based Information Organization [C]. Kluwer Academic: Massachusetts, 2002, 225-241
  • 5J Yamron, L Gillick, P van Mulbregt, and S Knecht. Statistical models of topical content [A]. In: Topic Detection and Tracking: Event-based Information Organization [C]. Kluwer Academic: Massachusetts, 2002, 115-134.
  • 6Leek T, Schwartz R M., and Sista S. Probabilistic approaches to topic detection and tracking [A]. In: Topic Detection and Tracking: Event-based Information Organization [C]. Kluwer Academic:Massachusetts, 2002, 67-83.
  • 7Franck Thollard. Probabilistic DFA Inference Using Kullback-Leibler Divergence and Minimality [A]. In: Proc of the 17th Int'l Conf on Machine Learning[C]. San Francisco: Morgan Kaufmann, 2000, 975-982.
  • 8J Ponte and W B Croft. Text segmentation by topic [A]. In: Proceedings of the European Conference on Research and Advanced Technology for Digital Libraries [C]. Europe: ECDL, 1997, pages 113-125.
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二级参考文献63

  • 1贾自艳,何清,张海俊,李嘉佑,史忠植.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. 被引量：59
  • 2金珠,林鸿飞,赵晶.基于HowNet的话题跟踪及倾向性分类研究[J].情报学报,2005,24(5):555-561. 被引量：21
  • 3董振东 董强.[EB/OL].知网.http://www.keenage.com,.
  • 4James Allan,Jaime Carbonell,George Doddington et al.Topic Detection and Tracking Pilot Study:Final Report[C].In:Proceedings of the DARPA Broadcast News Transcription and Understanding Workshop,San Francisco ,CA,Morgan Kaufmann Publishers ,Inc, 1998:194-218.
  • 5Yiming Yang,Jaime Carbonell,Ralf Brown et al.Learning Approaches for Detecting and Tracking News Events[J].IEEE Intelligent Systems:.Special Issue on Applications of Intelligent Information Retrieval,1999;14(4) :32-43.
  • 6Wayne C.Multilingual Topic Detection and Tracking:Successful Research Enabled by Corpora and Evaluation[C].In:Language Resources and Evaluation Conference (LREC),2000 : 1487-1494.
  • 7James Allan (ed.).Topic Detection and Tracking : Event-based Information Organization[M].Kluwer Academic Publishers,2002.
  • 8James Allan,Victor Lavrenko,Hubert Jin.First Story Detection in TDT is Hard[C].In:Proceedings of 9th Conference on Information Knowledge Management CIKM ,2000: 374---381.
  • 9Yiming Yang,Tom Ault,Thomas Pierce et al.Improving Text Categorization Methods for Event Tracking[C].In:Proeeedings of the 23rd International Conference on Research and Development in Information Retrieval ( SIGIR-2000),2000: 65-72.
  • 10Alvin Martin,George Doddington,Terri Kamm et al.The DET Curve in Assessment of Detection Task Performance[C].In:Proceedings of Eurospeech 1997,1997:1895-1898.

共引文献214

同被引文献1405

引证文献153

二级引证文献1112

中文信息学报
2007年 第6期

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