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A pragmatic information extraction strategy for gathering data on genetic interactions
D Proux1, F Rechenmann, L Julliard
1Xerox Research Centre Europe, Meylan, France. Denys.Proux@xrce.xerox.com
Proceedings. International Conference on Intelligent Systems for Molecular Biology
|September 8, 2000
Summary
This paper introduces a practical method for extracting gene interaction information from biological texts using existing tools. The goal is to construct a comprehensive gene interaction network from scientific literature.
Area of Science:
- Bioinformatics
- Computational Biology
- Natural Language Processing
Background:
- Information extraction techniques have advanced significantly.
- Automated extraction is crucial for managing vast biological literature.
- Previous methods may lack robustness or domain specificity.
Purpose of the Study:
- To present a pragmatic strategy for information extraction from biological texts.
- To automatically extract gene interaction data from scientific literature.
- To lay the groundwork for building a gene interaction network.
Main Methods:
- Utilizing a combination of existing linguistic tools.
- Employing knowledge processing tools for enhanced extraction.
- Focusing on extracting gene interactions specifically.
Main Results:
- Demonstration of a pragmatic strategy for information extraction.
- Successful extraction of gene interaction information from literature.
- Discussion of methodologies and current findings.
Conclusions:
- The presented strategy offers a viable approach to biological information extraction.
- The developed methods contribute to the construction of gene interaction networks.
- Further refinement can enhance the robustness and scope of the network.