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.
Cite
CITATION STYLE
Ji, H., & Chen, Z. (2009). Cross-document temporal and spatial person tracking system demonstration. In 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 (pp. 1–4). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1620959.1620960
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