| | |
Summary: Moving from Textual Relations to Ontologized Relations
Stephen Soderland and Bhushan Mandhani
Turing Center
Dept of Computer Science
University of Washington
Seattle, USA
Abstract
There has been recent research in open-ended information
extraction from text that finds relational triples of the form
(arg1, relation phrase, arg2), where the relation phrase is a
text string that expresses a relation between two arbitrary
noun phrases. While such a relational triple is a good first
step, much further work is required to turn such a textual rela-
tion into a logical form that supports inferencing. The strings
from arg1 and arg2 must be normalized, disambiguated, and
mapped to a formal taxonomy. The relation phrase must like-
wise be normalized and mapped to a clearly defined logi-
cal relation. Some relation phrases can be mapped to a set
of pre-defined relations such as Part-0f and Causes. We fo-
cus instead on arbitrary relation phrases that are discovered
|
