Postnominal prepositional phrase attachment in proteomics

Authors:
Jonathan Schuman;Sabine Bergler
Affiliations:
Concordia University, Montreal, Canada;Concordia University, Montreal, Canada
Venue:
LNLBioNLP '06 Proceedings of the HLT-NAACL BioNLP Workshop on Linking Natural Language and Biology
Year:
2006

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Abstract

We present a small set of attachment heuristics for postnominal PPs occurring in full-text articles related to enzymes. A detailed analysis of the results suggests their utility for extraction of relations expressed by nominalizations (often with several attached PPs). The system achieves 82% accuracy on a manually annotated test corpus of over 3000 PPs from varied biomedical texts.