FRED as an Event Extraction Tool
published: Nov. 28, 2013, recorded: October 2013, views: 2286
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Events are elusive entities; as the authors of argue, even human annotators do not agree on what is an event and what is its boundary in terms of the extension of its participants, temporal and geospatial extent, etc.
More aspects of events appear when trying to recognize or extract them from text: polarity of speaker's judgment on events, negation, modality, relations (temporal, causal, declarative, etc.) to other events, etc.
FRED is a tool to automatically transform knowledge extracted from text into RDF and OWL, i.e. it is a machine reader for the Semantic Web. It is event- centric, therefore it natively supports event extraction. In a recent landscape analysis of knowledge extraction tools , FRED has got .73 precision, .93 recall, and .87 accuracy, largely better than the other tools attempting event extraction.
Download slides: iswc2013_gangemi_event_extraction_01.pdf (567.1 KB)
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