Automatic Extraction of Location Relations from Text

Zheng, Wu; Blake, Catherine

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https://hdl.handle.net/2142/15046 Copy

Description

Title

Automatic Extraction of Location Relations from Text

Author(s)

• Zheng, Wu
• Blake, Catherine

Issue Date

2010-02-03

Keyword(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.

Type of Resource

text

Permalink

http://hdl.handle.net/2142/15046

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