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We performed event extraction experiments in two settings: training only on the newly introduced data (base model) and training using stacking, incorporating predictions from a model trained on the BioNLP Shared Task 2011 GE data set (Kim et al., 2011b) as the source corpus.
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with gene model trained on 94 genes selected from genes predicted by previous two methods.
(d) Predicting stitched SEs using model trained on constituents.
In this paper, we instead wish to combine evidence from models trained on different samples of the same data.
The statistics shown in this section come from the aggregated results of those ten models trained on mutually exclusive training data.
Machine learning models trained on massive datasets power a number of applications; from machine translation to detecting supernovae in astrophysics.
This observation indicates that models trained on scientific abstracts are not quite as capable of recognizing chemical entities from patents.
The model was trained on the data from March 2009 to December 2011 and validated on the time period of January 2012 to August 2012.
Swim.ai, however, performs the model training on the edge device itself by pulling in data from all connected devices.
The model was trained on the set of snoRNAs that can be downloaded from the snoRNABase [ 61].
During cross-validation, a model is trained on all but one alignment from the training corpus and testing is performed on the withheld data.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com