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Title: Automatic Extraction of Location Relations from Text
Author(s): Zheng, Wu; Blake, Catherine
Subject(s): Information extraction
relation mining
text mining
knowledge discovery
Abstract: Automatically identifying semantic relationships from text plays an important role in knowledge discovery, for example to connect a researcher in one discipline to related research questions in a second discipline in which the researcher is not formally trained. This poster describes preliminary experiments in ongoing research project that explores the utility of semantics and syntax to identify relations from text automatically. We focus exclusively on the location relation, such as organization-location and gene-location. Location is an interesting case because it occurs in multiple text genres including news articles and scientific literature.
Issue Date: 2010-02-03
Genre: Conference Poster
Type: Text
URI: http://hdl.handle.net/2142/15046
Date Available in IDEALS: 2010-03-01


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