Abstract
An adaptable relation extraction system for the
biomedical domain is presented. The system
makes use of a large set of contextual and shallow
syntactic features, which can be automatically
optimised for each relation type. The system
is tested on three different relation types;
protein-protein interactions, tissue expression
relations and fragment to parent protein relations.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing |
| Place of Publication | Columbus, Ohio |
| Publisher | Association for Computational Linguistics |
| Pages | 19-27 |
| Number of pages | 9 |
| Publication status | Published - 1 Jun 2008 |