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2011

Peeling Back the Layers: Detecting Event Role Fillers in Secondary Contexts

8 years 3 months ago
Peeling Back the Layers: Detecting Event Role Fillers in Secondary Contexts
The goal of our research is to improve event extraction by learning to identify secondary role filler contexts in the absence of event keywords. We propose a multilayered event extraction architecture that progressively “zooms in” on relevant information. Our extraction model includes a document genre classifier to recognize event narratives, two types of sentence classifiers, and noun phrase classifiers to extract role fillers. These modules are organized as a pipeline to gradually zero in on event-related information. We present results on the MUC-4 event extraction data set and show that this model performs better than previous systems.
Ruihong Huang, Ellen Riloff
Added 23 Aug 2011
Updated 23 Aug 2011
Type Journal
Year 2011
Where ACL
Authors Ruihong Huang, Ellen Riloff
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