DEFT Spanish Light and Rich ERE Annotation

<h1>DEFT Spanish Light and Rich ERE Annotation</h1>
<h3 class="subtitle">LDC2025T04</h3>
</br>
<h3>Introduction</h3>
</br></br>
<p>DEFT Spanish Light and Rich ERE Annotation, Linguistic Data Consortium (LDC)
Catalog Number LDC2025T04, was developed by LDC and
consists of 158 Spanish discussion forum and newswire documents annotated for entities,
relations and events (ERE).</p>
</br>
<p>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.</p>
</br>
<p>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.</p>
</br></br>
<h3>Data</h3>
</br></br>
<p>The source data consists of Spanish newswire text and Latin American discussion forum data from <a href="https://catalog.ldc.upenn.edu/LDC2018T01">DEFT Spanish Treebank LDC2018T01</a>. 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.
</p>
</br>
<p>Below is a data summary:</p>
<table border="1" summary="data summary">
<tr><td>ERE</td><td>Files</td><td>Words</td><td>Entities (mentions)</td><td>Fillers</td><td>Relations</td><td>Event Mentions</td><td>Event Hoppers</td></tr>
<tr><td>Light</td><td>128</td><td>72,896</td><td>4,309(11,003)</td><td>N/A</td><td>2,382</td><td>1,193</td><td>725</td></tr>
<tr><td>Rich</td><td>154</td><td>104,833</td><td>5,895(15,537)</td><td>1,913</td><td>3,005</td><td>4,423</td><td>3,093</td></tr>
</table>
</br></br>
<p>Source documents are in plain text format, annotation is in XML format, and both are UTF-8 encoded.</p>
</br></br>
<h3>Acknowledgement</h3>
<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>

<h3>Content Copyright</h3>
<p>Portions&nbsp;© 1994-2002, 2004-2009 The Associated Press,&nbsp;© 2002-2003, 2005, 2007, 2009-2010 Xinhua News Agency,&nbsp;© 2006, 2009, 2011, 2018, 2025 Trustees of the University of Pennsylvania</p>

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