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2000

Extracting Causal Knowledge from a Medical Database Using Graphical Patterns

13 years 5 months ago
Extracting Causal Knowledge from a Medical Database Using Graphical Patterns
This paper reports the first part of a project that aims to develop a knowledge extraction and knowledge discovery system that extracts causal knowledge from textual databases. In this initial study, we develop a method to identify and extract cause-effect information that is explicitly expressed in abstracts in the Medline database. A set of graphical patterns were constructed that indicate the presence of a causal relation in sentences, and which part of the sentence represents the cause and which part represents the effect. The patterns are matched with the syntactic parse trees of sentences, and the parts of the parse tree that match with the slots in the patterns are extracted as the cause or the effect.
Christopher S. G. Khoo, Syin Chan, Yun Niu
Added 01 Nov 2010
Updated 01 Nov 2010
Type Conference
Year 2000
Where ACL
Authors Christopher S. G. Khoo, Syin Chan, Yun Niu
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