five

TDT3 Multilanguage Text Version 2.0

收藏
DataCite Commons2021-07-01 更新2025-04-16 收录
下载链接:
https://catalog.ldc.upenn.edu/LDC2001T58
下载链接
链接失效反馈
官方服务:
资源简介:
<h3>Introduction</h3><br> <p>Topic Detection and Tracking (TDT) refers to automatic techniques for finding topically related material in streams of data such as newswire and broadcast news. The TDT3 corpus was created to support three TDT3 tasks: to find topically homogeneous sections (segmentation), to detect the occurrence of new events (detection) and to track the reoccurrence of old or new events (tracking).</p><br> <h3>Data</h3><br> <p>TDT3 Multilanguage Text Corpus Version 2.0 is the first general release of this collection (Version 1.0 was made available only to participants in the TDT 1999 and 2000 evaluation tests). It contains data from the same nine sources found in TDT2, plus two additional English television sources. Like TDT2, it provides both manually-created and automatically-generated text for most sources.</p><br> <p>For TDT3, the daily collection took place over a period of three months (October - December 1998). The sources and approximate number of stories per source are as follows:</p><br> <p>English sources&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Thousands of stories</p><br> <p>New York Times Newswire Service&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 6.9</p><br> <p>Associated Press Worldstream Service&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 7.3</p><br> <p>Cable News Network, "Headline News"&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 9.0</p><br> <p>American Broadcasting Co., "World News Tonight" 1.0</p><br> <p>Public Radio International, "The World"&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 1.6</p><br> <p>Voice of America, English news programs&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 3.9</p><br> <p>MS-NBC, "News with Brian Williams"&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0.7</p><br> <p>National Broadcasting Co., "NBC Nightly News"&nbsp;&nbsp;&nbsp;&nbsp; 0.8</p><br> <p>Total English stories: 31.2 thousand</p><br> <p>&nbsp;</p><br> <p>Mandarin sources&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp; &nbsp;&nbsp; Thousands of stories</p><br> <p>Xinhua News Agency&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp; 5.2</p><br> <p>Zaobao News Agency&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 3.8</p><br> <p>Voice of America, Mandarin Chinese news programs 3.8</p><br> <p>Total Mandarin stories: 12.8 thousand</p><br> <p>The goal of Topic Detection and Tracking - Phase 3 (TDT3) is to create core technology to monitor multiple streams of news in multiple languages and media (newswire, radio, television, web sites or some future combination or innovation), segmenting the streams into individual stories, detecting new topics and tracking all stories discussing them. In additional to the TDT2 tasks of segmentation, detection and tracking, TDT3 adds the tasks of first story detection and story-link detection. The goal of the latter is to detect links between stories that discuss the same topic even though the topic has not been defined in advance.</p><br> <p>There are two types of files in this publication:</p><br> <p>asr_sgm -- text data output from automatic speech recognition (ASR) systems in English and Mandarin, formatted in "TIPSTER- style" SGML, derived from the audio recordings of radio and TV broadcasts.</p><br> <p>tkn_sgm -- reference text data (newswire, closed captions and manual transcripts), formatted in "TIPSTER-style" SGML</p><br> <h3>Samples</h3><br> <p>Please view this <a href="desc/addenda/LDC2001T58.asr.txt">asr_sgm sample</a> and <a href="desc/addenda/LDC2001T58.tkn.txt">tkn_sgm sample</a>.</p><br> <h3>Updates</h3><br> <p>07/21/16 - Topic tables added.</p><br> <p>07/01/16 - Topic tables updated to v4.0.</p></br> Portions © 1998 American Broadcasting Company, The Associated Press, Cable News Network, LP, LLLP, National Broadcasting Company, Inc., New York Times, Public Radio International, SPH AsiaOne Ltd, Xinhua News Agency, © 1998-2001 Trustees of the University of Pennsylvania <br><br>The World is a co-production of Public Radio International and the British Broadcasting Corporation and is produced at WGBH Boston.
提供机构:
Linguistic Data Consortium
创建时间:
2020-11-30
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作