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Dependency parsing for interaction detection in pharmacogenomics


Schneider, Gerold; Rinaldi, Fabio; Clematide, Simon (2012). Dependency parsing for interaction detection in pharmacogenomics. In: LREC 2012: The eighth international conference on Language Resources and Evaluation, Istanbul, 21 May 2012 - 25 May 2012.

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.

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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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
Uncontrolled Keywords:Pharmacogenomics, Event Classes, Interaction Detection
Event End Date:25 May 2012
Deposited On:04 May 2012 08:28
Last Modified:05 Apr 2016 15:47
Funders:Swiss National Science Foundation (grant 100014-118396/1), Novartis Pharma AG, NIBR-IT, Text Mining Services
Permanent URL: http://doi.org/10.5167/uzh-62069

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