期刊文献+

话题识别与跟踪技术发展研究 被引量:5

Research on Development of Topic Detection and Tracking
下载PDF
导出
摘要 话题识别与跟踪以大规模新闻流为研究对象,通过监控新闻报道描述的话题,发现新的用户感兴趣的信息并将涉及某个话题的新闻报道组织起来以某种方式呈现给用户。本文首先介绍话题识别与跟踪的主要任务、相关概念和评价方法,然后对话题识别国内外研究现状进行详细论述,最后对话题识别的发展趋势和未来的研究方向进行分析。 The research object of TDT(Topic Detection and Tracking) is massive news flow,monitoring the topic of news,finds out new users attracting information,and somehow show the organized reports about a certain topic.At first,the paper introduces TDT and its primary tasks,related concepts and evaluation methods.Then,recent research situation about Topic Detection is focused.Finally,the paper analyzes the development tendency and future direction of Topic Detection.
出处 《中国管理信息化》 2011年第9期56-59,共4页 China Management Informationization
关键词 话题 话题识别 话题跟踪 Topic Topic Detection Topic Tracking
  • 相关文献

参考文献22

  • 1Charles L Wayne. Muhilingual Topic Detection and Tracking: Successful Research Enabled by Corpora and Evaluation [C] //Language Resources and Evaluation Conference(LREC), 2000:1487- 1494.
  • 2The National Institute of Standards and Technology (NIST). The 2002 Topic Detection and Tracking (TDT2002) Task Definition and Evaluation Plan [Z]. ftp://jaguar.ncsl.nist.gov//tdt/tdt2OO2/evalplans/ TDT02.EvaLPlan.vl.l.ps.
  • 3James Allan, Victor Lavrenko and Margaret E Connell. A Month to Topic Detection and Tracking in Hindi[J]. ACM Transactions on Asian Language Information Processing,2003,2(2):85-100.
  • 4James Allan, Jaime Carbonell, et al. Topic Detection and Tracking Pilot Study: Final Report[C]//Proceedings of the DARPA Broadcast News Transcription and Understanding Workship, 1998.
  • 5James Allan, Ron Papka. On-line New Event Detection and Tracking [C]//The Proceedings ofACM SIGIR 1998, Melbourne: Association for Computing Machinery Press, 1998:37--45.
  • 6骆卫华.于满泉.许洪波.基于多策略优化的分治多层聚类算法的话题发现研究[C]//全国第八届计算机语言学联合学术会议(JSCL-2005)论文集.南京,2005:362-368.
  • 7税仪冬,瞿有利,黄厚宽.周期分类和Single-Pass聚类相结合的话题识别与跟踪方法[J].北京交通大学学报,2009,33(5):85-89. 被引量:28
  • 8刘素芹,柴松.命名实体的网络话题K-means动态检测方法[J].智能系统学报,2010,5(2):122-126. 被引量:4
  • 9Hsin-His Chen and Lun-Wei Ku.Description of a Topic Detection Algorithm on TDT3 Mandarin Text [C] // Proceeding of Topic Detection and Tracking Workshop, Vienna, Virginia, 2000:165-166.
  • 10Ron Papka. On-line New Event Detection, Clustering and Tracking [D]. Boston:University of Massachusetts, 1999:4-5.

二级参考文献65

  • 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:58
  • 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骆卫华,于满泉,许洪波,王斌,程学旗.基于多策略优化的分治多层聚类算法的话题发现研究[J].中文信息学报,2006,20(1):29-36. 被引量:38
  • 4YE Hui-min,CHENG Wei,DAI Guan-zhong.Design and Implementation of On-Line Hot Topic Discovery Model[J].Wuhan University Journal of Natural Sciences,2006,11(1):21-26. 被引量:14
  • 5MATSUMURA N, OHSAWA Y, ISHIZUKA M. Influence diffusion model in text-based communication [ J ]. Journal of the Japanese Society for Artificial Intelligence, 2002, 13(3) : 259-267. (in Japanese)
  • 6YOU Lan, HUANG Xuan-jing, WU Li-de, et al. Exploring various features to optimize hot topic retrieval on WEB [CJ// Proceedings of the 1st International Symposium on Neural Networks (ISNN'04). Dalian, China: LNCS 3173, 2004 : 1025-1031.
  • 7YOU Lan, DU Yong-ping, GE Jia-yin, et al. BBS based hot topic retrieval using back-propagation neural network [C]// Proceedings of the 1st International Symposium on Natural Language Processing (IJCNLP' 04). Hainan Island, China : LNAI 3248, 2004 : 139-148.
  • 8YU Jian, YANG Min-shen. Optimality test for generalized FCM and its application to parameter selection [J ]. IEEE Transactions on Fuzzy Systems, 2005, 13(1) :164-176.
  • 9Allan J, CarboneU J, Doddington G, et al. Topic Detection and Tracking Pilot Study: Final Report[C]//Proceedings of the DARPA Broadcast News Transcription and Understanding Workshop. Virginia: Lansdowne, February, 1998:194 - 218.
  • 10朱靖波,陈文亮,姚天顺.面向TDT的主题相似性计算模型[C]∥全国第七届计算语言学联合学术会议论文集,2003:476-481.

共引文献159

同被引文献50

引证文献5

二级引证文献18

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部