@inproceedings{ca04a4a6afaf480f9cd9598636999970,
title = "Cross-document temporal and spatial person tracking system demonstration",
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.",
author = "Heng Ji and Zheng Chen",
note = "Publisher Copyright: {\textcopyright} 2009 Association for Computational Linguistics; 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2009 ; Conference date: 01-06-2009 Through 03-06-2009",
year = "2009",
language = "English (US)",
series = "NAACL-HLT 2009 - Human Language Technologies: 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Proceedings of the Demonstration Session",
publisher = "Association for Computational Linguistics (ACL)",
pages = "1--4",
editor = "Michael Johnston and Fred Popowich",
booktitle = "NAACL-HLT 2009 - Human Language Technologies",
}