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As the development corpus did not contain locations of entities nor the exact forms in which they appear in the documents, the first challenge we addressed was the generation of silver-annotated corpora suitable for the named entity recognition task.
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The methodological challenges we addressed in order to generate the genotype-phenotype profiles presented in this work require some discussion.
Under the term "challenges" we address limitations, problems, abuses, trade-offs, and other related terms.
The main challenge we address is assisting a user in achieving good coverage of the 4D domain despite the challenges of hand-held acquisition.
The challenge we address in this paper is the reliability analysis of hierarchical computer-based systems (HS) with common-cause failures (CCF).
The first challenge we address is to develop a tool to estimate a CRD for the units that arrive without one, based on past data of TAP Maintenance & Engineering.
The second challenge we address is to find an efficient way to assign the work to the technicians within each group so that all the components are repaired within the required deadlines.
Here the authors were classifying genes, not variants, but there are parallels with the challenge we address.
Many of the challenges we address are universal -- for example, the gradual cooling of sexual passion over time.
So that's a communications challenge we have addressed.
In this context, a specific challenge that we address is the "data imbalance" problem, which is prevalent in many domains, including bioinformatics.
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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