  Accurate systems for extracting Protein-Protein Interactions (PPIs)
automatically from biomedical articles can help accelerate biomedical research.
Biomedical Informatics researchers are collaborating to provide metaservices
and advance the state-of-art in PPI extraction. One problem often neglected by
current Natural Language Processing systems is the characteristic complexity of
the sentences in biomedical literature. In this paper, we report on the impact
that automatic simplification of sentences has on the performance of a
state-of-art PPI extraction system, showing a substantial improvement in recall
(8%) when the sentence simplification method is applied, without significant
impact to precision.
