five

DEFT Spanish Committed Belief Annotation

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DataCite Commons2021-07-01 更新2025-04-16 收录
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https://catalog.ldc.upenn.edu/LDC2019T09
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<h3>Introduction</h3><br> <p>DEFT Spanish Committed Belief Annotation was developed by the Linguistic Data Consortium (LDC) and consists of approximately 67,000 tokens of Spanish discussion forum text annotated for "committed belief," which marks the level of commitment displayed by the author to the truth of the propositions expressed in the text.</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>LDC has also released DEFT Chinese Committed Belief Annotation (<a href="../../../LDC2019T03">LDC2019T03</a>).</p><br> <h3>Data</h3><br> <p>The source data is Spanish discussion forum web text collected by LDC. Annotations fall into one of four categories: committed belief, non-committed belief, reported belief and not applicable. Further information about the annotation methodology is contained in the documentation accompanying this release.</p><br> <p>This publication contains 87 files (67,395 tokens). Annotation files are stored in XML format, and source documents are stored in plain text format. Both types of files are encoded in UTF-8.</p><br> <h3>Samples</h3><br> <p>Please view this <a href="desc/addenda/LDC2019T09.src.txt">source sample</a> and <a href="desc/addenda/LDC2019T09.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 © 2019 Trustees of the University of Pennsylvania
提供机构:
Linguistic Data Consortium
创建时间:
2020-11-30
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