Cross-document temporal and spatial person tracking system demonstration

Authors:
Heng Ji;Zheng Chen
Affiliations:
The City University of New York, New York, NY;The City University of New York, New York, NY
Venue:
NAACL-Demonstrations '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Demonstration Session
Year:
2009

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Abstract

Traditional Information Extraction (IE) systems identify many unconnected facts. The objective of this paper is to define a new cross-document information extraction task and demonstrate a system which can extract, rank and track events in two dimensions: temporal and spatial. The system can automatically label the person entities involved in significant events as 'centroid arguments', and then present the events involving the same centroid on a time line and on a geographical map.