Erratum to: Extracting drug-enzyme relation from literature as evidence for drug drug interaction

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Extracting drug-enzyme relation from literature as evidence for drug drug interaction

BACKGROUND Information about drug-drug interactions (DDIs) is crucial for computational applications such as pharmacovigilance and drug repurposing. However, existing sources of DDIs have the problems of low coverage, low accuracy and low agreement. One common type of DDIs is related to the mechanism of drug metabolism: a DDI relation may be caused by different interactions (e.g., substrate, in...

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Extraction of Drug-Drug Interaction from Literature through Detecting Linguistic-based Negation and Clause Dependency

Extracting biomedical relations such as drug-drug interaction (DDI) from text is an important task in biomedical NLP. Due to the large number of complex sentences in biomedical literature, researchers have employed some sentence simplification techniques to improve the performance of the relation extraction methods. However, due to difficulty of the task, there is no noteworthy improvement in t...

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Extracting Drug-Drug interaction from text using negation features

Extracting biomedical relations from text is an important task in BioMedical NLP. There are several systems developed for this purpose but the ones on Drug-Drug interactions are still a few. In this paper we want to show the effectiveness of negation features for this task. We firstly describe how we extended the DrugDDI corpus by annotating it with the scope of negation, and secondly we report...

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Extracting Drug-Drug Interaction Articles from MEDLINE to Improve the Content of Drug Databases

Drug-drug interaction systems exhibit low signal-to-noise ratios because of the amount of clinically insignificant or inaccurate information they contain. MEDLINE represents a respected source of peer-reviewed biomedical citations that potentially might serve as a valuable source of drug-drug interaction information, if relevant articles could be pinpointed effectively and efficiently. We evalu...

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ژورنال

عنوان ژورنال: Journal of Biomedical Semantics

سال: 2016

ISSN: 2041-1480

DOI: 10.1186/s13326-016-0063-3