KAIROS Schema Learning Complex Event Annotation
收藏DataCite Commons2025-06-27 更新2026-05-06 收录
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https://datasets.lib.berkeley.edu/citation?persistentId=doi:10.60503/D3/BKFZK4
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资源简介：
KAIROS Schema Learning Complex Event Annotation was developed by the Linguistic Data Consortium (LDC) to support the DARPA KAIROS program. It contains English and Spanish text, audio, video and image data labeled for 93 real-world complex events (CEs) with event, relation and argument annotations linking to document provenance. The DARPA KAIROS (Knowledge-directed Artificial Intelligence Reasoning Over Schemas) program aimed to build technology capable of understanding and reasoning about complex real-world events in order to provide actionable insights to end users. KAIROS systems utilized formal event representations in the form of schema libraries that specified the steps, preconditions and constraints for an open set of complex events; schemas were then used in combination with event extraction to characterize and make predictions about real-world events in a large multilingual, multimedia corpus.
提供机构：
UC Berkeley Library Dataverse
创建时间：
2025-06-27
