DEFT Chinese and English Light and Rich ERE Parallel Annotation

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 mentions for a 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.