five

Richer Event Description

收藏
DataCite Commons2021-07-01 更新2025-04-16 收录
下载链接:
https://catalog.ldc.upenn.edu/LDC2016T23
下载链接
链接失效反馈
官方服务:
资源简介:
<h3>Introduction</h3><br> <p>Richer Event Description was developed by the <a href="http://clear.colorado.edu/start/index.html">University of Colorado Boulder-CLEAR (Computational Language and Education Research</a>, <a href="http://www.cmu.edu/">Carnegie Mellon University</a> and LDC. It consists of coreference, bridging and event-event relations (temporal, causal, subevent and reporting relations) annotations over 95 English newswire, discussion forum and narrative text documents, covering all events, times and non-eventive entities within each document.</p><br> <p>RED annotation is intended to join different annotation layers and to provide a rich representation of event phenomena.</p><br> <h3>Data</h3><br> <p>Documents were annotated twice -- in a markable pass and in an event annotation phase. In the markable pass, events, entities, TIMEX3 and section elements were annotated across the entire document and features were marked on each markable element. Event relations and event coreference were then annotated over the adjudicated markables. Further information about the annotation process is contained in the guidelines accompanying this release.</p><br> <p>Annotation and source documents are divided into three partitions: (1) 20 newswire summarization documents, (2) 20 discussion forum documents and newswire annotations used in the original RED pilot annotations, and (3) 55 documents annotated by a range of DEFT (Deep Exploration and Filtering of Test) annotation formats. Data is presented as UTF-8 encoded xml and plain text.</p><br> <h3>Samples</h3><br> <p>Please view this <a href="desc/addenda/LDC2016T23.src.txt">source sample</a> and <a href="desc/addenda/LDC2016T23.anno.xml">annotation sample</a>.</p><br> <h3>Updates</h3><br> <p>None at this time.</p><br> <h3>Acknowledgement</h3><br> <p>This material is based on research sponsored by Air Force Research Laboratory and Defense Advance Research Projects Agency under agreement number FA8750-13-2-0045. The U.S. Government is authorized to reproduce and distribute reprints for Governmental purposes notwithstanding any copyright notation thereon. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of Air Force Research Laboratory and Defense Advanced Research Projects Agency or the U.S. Government.</p></br> Portions © 2002, 2010 Agence France Presse, © 2013 The New York Times, © 2010 Xinhua News Agency, © 2016 Colorado University - CLEAR, © 2016 Trustees of the University of Pennsylvania
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