DEFT English Light and Rich ERE Annotation
收藏DataCite Commons2025-06-30 更新2026-05-06 收录
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https://datasets.lib.berkeley.edu/citation?persistentId=doi:10.60503/D3/HHWEP3
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资源简介:
DEFT English Light and Rich ERE Annotation was developed by the Linguistic Data Consortium (LDC) and consists of 1190 English discussion forum, newswire and proxy 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.
提供机构:
UC Berkeley Library Dataverse
创建时间:
2025-06-30



