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An environment for relation mining over richly annotated corpora: the case of GENIA


Rinaldi, F; Schneider, G; Kaljurand, K; Hess, M; Romacker, M (2006). An environment for relation mining over richly annotated corpora: the case of GENIA. In: Second International Symposium on Semantic Mining in Biomedicine (SMBM 2006), Jena, Germany, 9 April 2006 - 12 April 2006, 68-75.

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 results and extract the most important information.
We describe and evaluate an environment supporting the extraction of domain-specific relations, 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 syntactic alternations, plus semantic ontology information.

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 results and extract the most important information.
We describe and evaluate an environment supporting the extraction of domain-specific relations, 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 syntactic alternations, plus semantic ontology information.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Computational Linguistics
Dewey Decimal Classification:000 Computer science, knowledge & systems
410 Linguistics
Language:English
Event End Date:12 April 2006
Deposited On:30 Mar 2010 13:27
Last Modified:05 Apr 2016 14:04
Publisher DOI:https://doi.org/10.1186/1471-2105-7-S3-S3
Permanent URL: https://doi.org/10.5167/uzh-33212

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