Negation and speculation in NLP: a Survey, Corpora, methods, and applications
Negation and speculation are universal linguistic phenomena that affect the performance of
Natural Language Processing (NLP) applications, such as those for opinion mining and …
Natural Language Processing (NLP) applications, such as those for opinion mining and …
[PDF][PDF] Semeval-2013 task 9: Extraction of drug-drug interactions from biomedical texts (ddiextraction 2013)
I Segura-Bedmar, P Martínez… - … Joint Conference on …, 2013 - aclanthology.org
The DDIExtraction 2013 task concerns the recognition of drugs and extraction of drugdrug
interactions that appear in biomedical literature. We propose two subtasks for the …
interactions that appear in biomedical literature. We propose two subtasks for the …
[HTML][HTML] Drug-drug interaction extraction from biomedical texts using long short-term memory network
The simultaneous administration of multiple drugs increases the probability of interaction
among them, as one drug may affect the activities of others. This interaction among drugs …
among them, as one drug may affect the activities of others. This interaction among drugs …
AGCN: Attention-based graph convolutional networks for drug-drug interaction extraction
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 …
biomedical relation extraction. Automatic DDI extraction from the biomedical corpus is …
Drug-drug interaction extraction via recurrent hybrid convolutional neural networks with an improved focal loss
Drug-drug interactions (DDIs) may bring huge health risks and dangerous effects to a
patient's body when taking two or more drugs at the same time or within a certain period of …
patient's body when taking two or more drugs at the same time or within a certain period of …
[PDF][PDF] FBK-irst: A multi-phase kernel based approach for drug-drug interaction detection and classification that exploits linguistic information
MFM Chowdhury, A Lavelli - … * SEM), Volume 2: Proceedings of the …, 2013 - aclanthology.org
This paper presents the multi-phase relation extraction (RE) approach which was used for
the DDI Extraction task of SemEval 2013. As a preliminary step, the proposed approach …
the DDI Extraction task of SemEval 2013. As a preliminary step, the proposed approach …
Position-aware deep multi-task learning for drug–drug interaction extraction
Objective A drug–drug interaction (DDI) is a situation in which a drug affects the activity of
another drug synergistically or antagonistically when being administered together. The …
another drug synergistically or antagonistically when being administered together. The …
[HTML][HTML] Text mining for pharmacovigilance: Using machine learning for drug name recognition and drug–drug interaction extraction and classification
AB Abacha, MFM Chowdhury, A Karanasiou… - Journal of biomedical …, 2015 - Elsevier
Pharmacovigilance (PV) is defined by the World Health Organization as the science and
activities related to the detection, assessment, understanding and prevention of adverse …
activities related to the detection, assessment, understanding and prevention of adverse …
[HTML][HTML] Lessons learnt from the DDIExtraction-2013 shared task
I Segura-Bedmar, P Martínez… - Journal of biomedical …, 2014 - Elsevier
Abstract The DDIExtraction Shared Task 2013 is the second edition of the DDIExtraction
Shared Task series, a community-wide effort to promote the implementation and …
Shared Task series, a community-wide effort to promote the implementation and …
A novel feature-based approach to extract drug–drug interactions from biomedical text
Motivation: Knowledge of drug–drug interactions (DDIs) is crucial for health-care
professionals to avoid adverse effects when co-administering drugs to patients. As most …
professionals to avoid adverse effects when co-administering drugs to patients. As most …