Discovering Paradigm Shift Patterns in Biomedical Abstracts: Application to Neurodegenerative Diseases
Frédérique Lisacek, Christine Chichester, Aaron Kaplan, Agnes Sandor
Millions of facts are stored within the biological literature.
Most of these facts represent small advances
in the knowledge on an established theory, but a
small fraction offer new insight into a biological phenomenon.
We propose a method based on computational
linguistic tools for distinguishing these facts (extraction)
and exposing knowledge that may be important
in future developments (prediction). The method
is based on finding linguistic cues indicating that the
authors of biological articles have identified a problem
with, or a break from, conventional knowledge.
First International Symposium on Semantic Mining in Biomedicine, Cambridge, UK April 11-13, 2005.