Paper: Cross-document Temporal and Spatial Person Tracking System Demonstration

ACL ID N09-5001
Title Cross-document Temporal and Spatial Person Tracking System Demonstration
Venue Human Language Technologies
Session System Demonstration
Year 2009
Authors
  • Heng Ji (City University of New York-Queens College, Flushing NY; City University of New York-Graduate Center, New York NY)
  • Zheng Chen (City University of New York-Graduate Center, New York NY)

Traditional Information Extraction (IE) sys- tems 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: tem- poral and spatial. The system can automati- cally 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.