Recognition of Latin scientific names using artificial neural networks.

Published in: Applications in plant sciences (2020)

In combination, the classifiers can recognize Latin scientific names in isolation or embedded within the languages used for >96% of biodiversity literature titles. For three different data sets, they resulted in a 0.80-0.97 recall and a 0.69-0.84 precision at a rate of 8.6 ms/word.

Keyphrases

neural network
systematic review
mass spectrometry
multiple sclerosis
electronic health record
ms ms
big data
machine learning
data analysis