Drug–drug interaction (DDI) is an important part of drug development and
pharmacovigilance. At the same time, DDI is an important factor in treatment planning …

Drug–drug interactions (DDIs) are crucial for drug research and pharmacovigilance. These
interactions may cause adverse drug effects that threaten public health and patient safety …

Background Drug-drug interaction extraction (DDI) needs assistance from automated
methods to address the explosively increasing biomedical texts. In recent years, deep neural …

Drug‐drug interaction (DDI) extraction as a typical relation extraction task in natural
language processing (NLP) has always attracted great attention. Most state‐of‐the‐art DDI …

It is crucial for doctors to fully understand the interaction between drugs in prescriptions,
especially when a patient takes multiple medications at the same time during treatment. The …

Drug-drug interactions (DDIs) play a key role in various applications of biomedicine such as
pharmacovigilance. DDIs are frequently reported in biomedical publications, making them …

Extracting drug-drug interaction (DDI) relations is one of the most typical tasks in the field of
biomedical relation extraction. Automatic DDI extraction from the biomedical corpus is …

Background Extraction of drug drug interactions from biomedical literature and other textual
data is an important component to monitor drug-safety and this has attracted attention of …

Automatic relation extraction provides great support for scientists and database curators in
dealing with the extensive amount of biomedical textual data. The DDIExtraction 2013 …

Drug-drug interaction (DDI) is a vital information when physicians and pharmacists intend to
co-administer two or more drugs. Thus, several DDI databases are constructed to avoid …