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OLAC Record oai:www.ldc.upenn.edu:LDC2025T04 |
Metadata | ||
Title: | DEFT Spanish Light and Rich ERE Annotation | |
Access Rights: | Licensing Instructions for Subscription & Standard Members, and Non-Members: http://www.ldc.upenn.edu/language-resources/data/obtaining | |
Bibliographic Citation: | Chen, Song, Justin Mott, and Stephanie Strassel. DEFT Spanish Light and Rich ERE Annotation LDC2025T04. Web Download. Philadelphia: Linguistic Data Consortium, 2025 | |
Contributor: | Chen, Song | |
Mott, Justin | ||
Strassel, Stephanie | ||
Date (W3CDTF): | 2025 | |
Date Issued (W3CDTF): | 2025-04-15 | |
Description: | *Introduction* DEFT Spanish Light and Rich ERE Annotation was developed by the Linguistic Data Consortium (LDC) and consists of 158 Spanish discussion forum and newswire documents annotated for entities, relations and events (ERE). DARPA's Deep Exploration and Filtering of Text (DEFT) program aimed to address remaining capability gaps in state-of-the-art natural language processing technologies related to inference, causal relationships and anomaly detection. LDC supported the DEFT program by collecting, creating and annotating a variety of data sources. Light ERE annotation labels entity mentions for the target set of entity, relation and event types between and among those entities including coreference. Rich ERE annotation expands types and tagging in the entities, relations, and events annotation tasks and replaces strict event coreference with a more loosely defined event hopper annotation. Further information about the annotation methodology is contained in the documentation accompanying this release. *Data* The source data consists of Spanish newswire text and Latin American discussion forum data from DEFT Spanish Treebank LDC2018T01. 128 documents were annotated following Light ERE annotation guidelines. 154 files were labeled with Rich ERE annotation, 124 of which were also labeled with Light ERE annotation. Below is a data summary: ERE Files Words Entities (mentions) Fillers Relations Event Mentions Event Hoppers Light 128 72,896 4,309(11,003) N/A 2,382 1,193 725 Rich 154 104,833 5,895(15,537) 1,913 3,005 4,423 3,093 Source documents are in plain text format, annotation is in XML format, and both are UTF-8 encoded. *Samples* Please view the following samples: * Source (TXT) * Light ERE (XML) * Rich ERE (XML) *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: 31830 KB | |
Identifier: | LDC2025T04 | |
https://catalog.ldc.upenn.edu/LDC2025T04 | ||
ISLRN: 080-565-110-210-3 | ||
DOI: 10.35111/spa00-888 | ||
Language: | Spanish | |
Language (ISO639): | spa | |
License: | LDC User Agreement for Non-Members: https://catalog.ldc.upenn.edu/license/ldc-non-members-agreement.pdf | |
Medium: | Distribution: Web Download | |
Publisher: | Linguistic Data Consortium | |
Publisher (URI): | https://www.ldc.upenn.edu | |
Rights Holder: | Portions © 1994-2002, 2004-2009 The Associated Press, © 2002-2003, 2005, 2007, 2009-2010 Xinhua News Agency, © 2006, 2009, 2011, 2018, 2025 Trustees of the University of Pennsylvania | |
Type (DCMI): | Text | |
Type (OLAC): | primary_text | |
OLAC Info |
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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 |
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OaiIdentifier: | oai:www.ldc.upenn.edu:LDC2025T04 | |
DateStamp: | 2025-04-15 | |
GetRecord: | OAI-PMH request for simple DC format | |
Search Info | ||
Citation: | Chen, Song; Mott, Justin; Strassel, Stephanie. 2025. Linguistic Data Consortium. | |
Terms: | area_Europe country_ES dcmi_Text iso639_spa olac_primary_text |