University of Illinois Urbana-Champaign

Automatic Extraction of Location Relations from Text

Zheng, Wu; Blake, Catherine

Content Files
wuzheng.pdf

Permalink

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

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
Date of Ingest
2010-03-01T17:07:54Z
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
Genre of Resource
Conference Poster
Permalink
http://hdl.handle.net/2142/15046

Owning Collections

iConference 2010 Posters PRIMARY
iConference 2010 Posters