Evaluation of pooling operations in convolutional architectures for drug-drug interaction extraction

Evaluation of pooling operations in convolutional architectures for drug-drug interaction extraction

Abstract Background Deep Neural Networks (DNN), in particular, Convolutional Neural Networks (CNN), has recently achieved state-of-art results for the task of Drug-Drug Interaction (DDI) extraction. Most CNN architectures incorporate a pooling layer to reduce the dimensionality of the convolution la...

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Bibliographic Details
Main Authors: Víctor Suárez-Paniagua, Isabel Segura-Bedmar
Format: Article
Language:English
Published: BMC 2018-06-01
Series:BMC Bioinformatics
Subjects:
Deep learning
Convolutional neural network
Pooling
Attention model
Drug-drug interaction extraction
Online Access:http://link.springer.com/article/10.1186/s12859-018-2195-1

Internet

http://link.springer.com/article/10.1186/s12859-018-2195-1

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