@inproceedings{schneider-etal-2012-dependency,
title = "Dependency parsing for interaction detection in pharmacogenomics",
author = "Schneider, Gerold and
Rinaldi, Fabio and
Clematide, Simon",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Do{\u{g}}an, Mehmet U{\u{g}}ur and
Maegaard, Bente and
Mariani, Joseph and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Eighth International Conference on Language Resources and Evaluation ({LREC}'12)",
month = may,
year = "2012",
address = "Istanbul, Turkey",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2012/pdf/1052_Paper.pdf",
pages = "2075--2082",
abstract = "We give an overview of our approach to the extraction of interactions between pharmacogenomic entities like drugs, genes and diseases and suggest classes of interaction types driven by data from PharmGKB and partly following the top level ontology WordNet and biomedical types from BioNLP. Our text mining approach to the extraction of interactions is based on syntactic analysis. We use syntactic analyses to explore domain events and to suggest a set of interaction labels for the pharmacogenomics domain.",
}
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%0 Conference Proceedings
%T Dependency parsing for interaction detection in pharmacogenomics
%A Schneider, Gerold
%A Rinaldi, Fabio
%A Clematide, Simon
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Doğan, Mehmet Uğur
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC’12)
%D 2012
%8 May
%I European Language Resources Association (ELRA)
%C Istanbul, Turkey
%F schneider-etal-2012-dependency
%X We give an overview of our approach to the extraction of interactions between pharmacogenomic entities like drugs, genes and diseases and suggest classes of interaction types driven by data from PharmGKB and partly following the top level ontology WordNet and biomedical types from BioNLP. Our text mining approach to the extraction of interactions is based on syntactic analysis. We use syntactic analyses to explore domain events and to suggest a set of interaction labels for the pharmacogenomics domain.
%U http://www.lrec-conf.org/proceedings/lrec2012/pdf/1052_Paper.pdf
%P 2075-2082
Markdown (Informal)
[Dependency parsing for interaction detection in pharmacogenomics](http://www.lrec-conf.org/proceedings/lrec2012/pdf/1052_Paper.pdf) (Schneider et al., LREC 2012)
ACL