Combining techniques for event extraction in summary reports

Nancy McCracken, Necati Ercan Ozgencil, Svetlana Symonenko

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Scopus citations

Abstract

The semantic role labels of verb predicates can be used to define an event model for understanding text. In the system described in this paper, the events are extracted from documents that are summary reports about individual people. The system constructed for the event extraction integrates a statistical approach using machine learning over Propbank semantic role labels with a rule-based approach using a sublanguage grammar of the summary reports. The event model is also utilized in identifying patterns of event/role usage that can be mapped to entity relations in the domain ontology of the application. Compilation copyright

Original languageEnglish (US)
Title of host publicationEvent Extraction and Synthesis - Papers from the AAAI Workshop, Technical Report
Pages7-11
Number of pages5
StatePublished - Dec 1 2006
Event2006 AAAI Workshop - Boston, MA, United States
Duration: Jul 16 2006Jul 20 2006

Publication series

NameAAAI Workshop - Technical Report
VolumeWS-06-07

Other

Other2006 AAAI Workshop
CountryUnited States
CityBoston, MA
Period7/16/067/20/06

ASJC Scopus subject areas

  • Engineering(all)

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    McCracken, N., Ozgencil, N. E., & Symonenko, S. (2006). Combining techniques for event extraction in summary reports. In Event Extraction and Synthesis - Papers from the AAAI Workshop, Technical Report (pp. 7-11). (AAAI Workshop - Technical Report; Vol. WS-06-07).