OLAC Record oai:www.ldc.upenn.edu:LDC2016T07

Metadata
Title:		DEFT Narrative Text
Access Rights:		Licensing Instructions for Subscription & Standard Members, and Non-Members: http://www.ldc.upenn.edu/language-resources/data/obtaining
Bibliographic Citation:		Tracey, Jennifer, Dana Fore, and Stephanie Strassel. DEFT Narrative Text LDC2016T07. Web Download. Philadelphia: Linguistic Data Consortium, 2016
Contributor:		Tracey, Jennifer
		Fore, Dana
		Strassel, Stephanie
Date (W3CDTF):		2016
Date Issued (W3CDTF):		2016-03-15
Description:		*Introduction* DEFT Narrative Text was developed by the Linguistic Data Consortium (LDC) and contains proxy reports and their source newswire used to support DARPA's Deep Exploration and Filtering of Text (DEFT) program. Among the goals of the DEFT program is to develop technologies that can perform various NLP tasks on data in a variety of genres, both formal and informal. LDC provided source data and annotations for DEFT system development. DEFT Narrative Text consists of "proxy reports" (and "multi-proxy reports") in English. (Multi-)proxy reports are intended to mimic the format and other features of some types of government analyst reports using content from newswire articles. The corresponding English newswire source documents are also included in the release. *Data* LDC staff manually selected the source newswire from English Gigaword Fifth Edition (LDC2011T07). Articles were selected for topics of potential interest to the intelligence community based on general guidance from DEFT project sponsors. The newswire source documents are XML files following the Gigaword corpus format. The proxy reports are in plain text format. *Samples* Please view these source xml and proxy text samples. *Updates* None at this time. *Acknowledgement* 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.
Extent:		Corpus size: 29816 KB
Identifier:		LDC2016T07
		https://catalog.ldc.upenn.edu/LDC2016T07
		ISBN: 1-58563-747-5
		ISLRN: 732-088-594-631-3
		DOI: 10.35111/s3rq-f204
Language:		English
Language (ISO639):		eng
License:		LDC User Agreement for Non-Members: https://catalog.ldc.upenn.edu/license/ldc-non-members-agreement.pdf
Medium:		Distribution: Web Download
Provenance:		Collected by the Linguistic Data Consortium (LDC) in Philadelphia, PA, USA.
Publisher:		Linguistic Data Consortium
Publisher (URI):		https://www.ldc.upenn.edu
Relation (URI):		https://catalog.ldc.upenn.edu/docs/LDC2016T07
Rights Holder:		Portions © 1996, 2002-2010 Agence France Presse, © 2002-2010 The Associated Press, © 2003-2004, 2007-2010 Central News Agency (Taiwan), © 1995, 2003, 2007-2008 Los Angeles Times-Washington Post News Service, Inc., © 2002, 2004-2005, 2007-2010 New York Times, © 2010 The Washington Post Service with Bloomberg News, © 2001-2010 Xinhua News Agency, © 2003, 2005, 2007, 2009-2011, 2013, 2016 Trustees of the University of Pennsylvania
Type (DCMI):		Text
Type (OLAC):		primary_text
OLAC Info
Archive:		The LDC Corpus Catalog
Description:		http://www.language-archives.org/archive/www.ldc.upenn.edu
GetRecord:		OAI-PMH request for OLAC format
GetRecord:		Pre-generated XML file
OAI Info
OaiIdentifier:		oai:www.ldc.upenn.edu:LDC2016T07
DateStamp:		2020-11-30
GetRecord:		OAI-PMH request for simple DC format
Search Info
Citation:		Tracey, Jennifer; Fore, Dana; Strassel, Stephanie. 2016. Linguistic Data Consortium.
Terms:		area_Europe country_GB dcmi_Text iso639_eng olac_primary_text