TDT3 Multilanguage Text Version 2.0

Introduction 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). Data 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. 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: English sources Thousands of stories New York Times Newswire Service 6.9 Associated Press Worldstream Service 7.3 Cable News Network, \"Headline News\" 9.0 American Broadcasting Co., \"World News Tonight\" 1.0 Public Radio International, \"The World\" 1.6 Voice of America, English news programs 3.9 MS-NBC, \"News with Brian Williams\" 0.7 National Broadcasting Co., \"NBC Nightly News\" 0.8 Total English stories: 31.2 thousand Mandarin sources Thousands of stories Xinhua News Agency 5.2 Zaobao News Agency 3.8 Voice of America, Mandarin Chinese news programs 3.8 Total Mandarin stories: 12.8 thousand 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. There are two types of files in this publication: 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. tkn_sgm -- reference text data (newswire, closed captions and manual transcripts), formatted in \"TIPSTER-style\" SGML Samples Please view this asr_sgm sample and tkn_sgm sample. Updates 07/21/16 - Topic tables added. 07/01/16 - Topic tables updated to v4.0. Copyright 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 The World is a co-production of Public Radio International and the British Broadcasting Corporation and is produced at WGBH Boston.引言 主题检测与跟踪（Topic Detection and Tracking，TDT）指用于在新闻专线、广播电视新闻等数据流中检索主题相关内容的自动化技术。TDT3语料库旨在支持三项TDT3任务：提取主题同质片段（segmentation）、检测新事件的出现（detection）以及跟踪旧有或新事件的复发情况（tracking）。 TDT3多语言文本语料库2.0版是该合集的首次公开发布版本（1.0版仅向1999年与2000年TDT评估测试的参与者开放）。其数据源自TDT2的9个数据源，额外新增了两个英语电视数据源。与TDT2一致，该语料库为多数数据源提供了人工生成与自动生成的文本数据。TDT3的每日数据采集周期为三个月（1998年10月至12月）。 各数据源及单源故事近似数量如下： ### 英语数据源（单位：千条故事） 《纽约时报》新闻专线服务：6.9 美联社全球专线服务：7.3 美国有线电视新闻网"头条新闻"频道：9.0 美国广播公司"今晚世界新闻"节目：1.0 国际公共广播"全球新闻"节目：1.6 美国之音英语新闻节目：3.9 微软全国广播公司"布莱恩·威廉姆斯新闻"节目：0.7 美国全国广播公司"NBC晚间新闻"节目：0.8 英语故事总数量：31.2千 ### 汉语数据源（单位：千条故事） 新华通讯社：5.2 联合早报通讯社：3.8 美国之音华语新闻节目：3.8 汉语故事总数量：12.8千 主题检测与跟踪第三阶段（TDT3）的目标是开发核心技术，以多语言、多媒介（新闻专线、广播、电视、网站或未来的组合/创新形式）监测多类新闻流，将流分割为独立新闻条目，检测新主题并跟踪所有讨论该主题的新闻。除TDT2的分割、检测与跟踪任务外，TDT3新增了首条故事检测与故事关联检测任务。其中故事关联检测的目标是，即便主题未提前定义，仍可检测讨论同一主题的新闻条目间的关联。 本次发布包含两类文件： asr_sgm：源自广播电视音频录制的、采用"TIPSTER风格"标准通用标记语言（Standard Generalized Markup Language，SGML）格式的自动语音识别（Automatic Speech Recognition，ASR）系统输出的英、汉双语文本数据； tkn_sgm：采用"TIPSTER风格"SGML格式的参考文本数据（涵盖新闻专线、隐藏式字幕及人工转录文本）。 ### 示例 请查看asr_sgm示例与tkn_sgm示例。 ### 更新记录 2016年7月21日：新增主题表。 2016年7月1日：主题表更新至v4.0版本。 ### 版权声明 部分内容©1998美国广播公司、美联社、美国有线电视新闻网有限合伙公司、美国全国广播公司、《纽约时报》、国际公共广播、SPH AsiaOne有限公司、新华通讯社；©1998-2001宾夕法尼亚大学理事会。《全球新闻》是国际公共广播与英国广播公司的联合制作节目，并由波士顿WGBH机构制作。