Sentence examples for annotation skills from inspiring English sources

In addition, a systematic collection of annotation skills from experts will be necessary in the near future, as will the analysis and transfer of these skills to the public domain for education of fledgling annotators.

Some of the annotations commonly used include skills associations, identification of common errors and feedback prompts.

In addition to its score-syncing and page-turning features, Tonara also helps musicians hone their skills with an annotation feature that lets them create layers of notes for different teachers or practice sessions.

Unlike other approaches based on ontologies, such as OWL-OLM (Denaux et al. 2005) or Personal Reader (Dolog et al. 2004a), our model generalizes taxonomy-based annotations with OWL-DL ontologies annotations and adds mastery levels (generic skills and performance levels) to ontology references.

Quiz questions, written by the GEP faculty, were designed to test both conceptual knowledge about genes and genomes and specific skills related to the annotation process.

It is important to define the minimal curator selection criteria, i.e. the skills that are required to carry out the annotation task and to make sure that the curators have a suitable background and are familiar with the annotation of literature data.

Through the annotation process, they broaden their vocabulary, and reviewing a paper sharpens critical-thinking skills.

Lessons and skills learned through these early exercises will enable more productive community annotation effort going forward on this project.

These data suggest that students' engagement in the annotation project provided practice and subsequent learning gains across a wide range of cognitive skills (see Table 2), and point to gains in higher-order skills.

The opportunity they are seizing is that image annotation is a very accessible type of labor that does not require previous education or professional skills, but which can open the door to more advanced tech jobs and freelancing skills, which are especially useful for migrants.

The W4M infrastructure enables both experimental users with no specific programming skills and advanced developers to perform cutting-edge and reproducible computational analyses from raw data to metabolite annotation.