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An Environment for Relation Mining over Richly Annotated Corpora: the case of GENIA

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An Environment for Relation Mining over Richly Annotated Corpora:

the case of GENIA

Fabio Rinaldi

∗

, Gerold Schneider

∗

, Kaarel Kaljurand

∗

, Michael Hess

∗

, Martin Romacker

∗∗

Abstract

The biomedical domain is witnessing a rapid growth of the amount of published scientific results, which makes it increasingly difficult to filter the core information. There is a real need for support tools that ‘digest’ the published re- sults and extract the most important informa- tion.

We describe and evaluate an environment sup- porting the extraction of domain-specific re- lations, such as protein-protein interactions, from a richly-annotated corpus. We use full, deep-linguistic parsing and manually created, versatile patterns, expressing a large set of syn- tactic alternations, plus semantic ontology in- formation.

∗Institute of Computational Linguistics, IFI, University of Zurich, Switzerland, {rinaldi, gschneid, kalju, hess}@ifi.unizh.ch

∗∗Novartis Pharma AG, Basel, Switzerland martin.romacker@novartis.com

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