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That way, all active users working in a document can observe the actions of adding, changing and removing concept and relations performed by other users.
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In the above equation, s 1 and s 2 are the concept and relation similarity functions respectively.
The most important entities located in the center of the diagram are Concept and Relation.
Besides the concept and relation types definition panels, Egas also provides a statistics panel, which allows administrators to collect detailed information regarding the annotation process per article and user, namely curation time and annotated concepts and relations.
After importing documents to the project, they can be automatically annotated by using the available concept and relation annotation services.
Afterwards, project administrators can freely define concept and relation types according to the requisites of the task.
In the end of the annotation process, users are able to export annotated documents and respective concept and relation annotations to standard formats.
That way, Egas provides instant feedback of user's interactions within a document, such as adding, removing and/or changing concept and relation annotations.
Project management allows administrators to configure essential project characteristics, such as annotation guidelines, users, target concept and relation types, and access various statistics regarding the annotation process.
Thus, users are able to create custom-processing pipelines for concept and relation annotation with manual correction, supporting multiple import and export formats.
Moreover, Egas automatically adds concept and relation types provided by the service if they were not previously specified in the project configuration.
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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