Combining global relevance information with local contextual clues for event-oriented information extraction

Authors:
Siddharth Patwardhan
Affiliations:
School of Computing, University of Utah, Salt Lake City, UT
Venue:
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 3
Year:
2008

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Abstract

Existing IE systems tend to focus on a tight window of context surrounding the desired information to be extracted. This research addresses shortcomings of these systems by introducing a two-phase approach to IE that incorporates global relevance information with local contextual evidence, to effectively extract information from free text.