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Controlling human platelet activation with calcium-binding nanoparticles

Cabrera, David; Walker, Karen; Moise, Sandhya; Telling, Neil D.; Harper, Alan G.S.

Authors

Karen Walker

Sandhya Moise



Abstract

We introduce a neural method that is able to fuse concepts from a knowledge base with the context information for the task of grouping of aspect terms. Rather than only using context information, we use the corresponding concepts of aspect terms as additional information for aspect terms representation. We also introduce a location-based attention mechanism for accurately representing context features. As both the concept and the aspect term are same level features, i.e. aspect level features, we develop a model with gating mechanism to fuse them together. All of the above features are fed into a parallel metric learning network which has the ability to learn an easier grouping representation of samples. Experimental results demonstrate that our approach outperforms different baselines and model variants on five datasets.

Journal Article Type Article
Acceptance Date Jun 3, 2020
Publication Date Jul 11, 2020
Journal Nano Research
Print ISSN 1998-0124
Publisher Springer Verlag
Peer Reviewed Peer Reviewed
Volume 13
Article Number 2697–2705
DOI https://doi.org/10.1007/s12274-020-2912-8
Keywords nanochelators, human platelets, open canalicular system, calcium signaling, nanoparticles
Publisher URL https://link.springer.com/article/10.1007/s12274-020-2912-8

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