Entity linking (EL) is concerned with disambiguating entity mentions in a text against knowledge bases (KB).
This paper describes an ecosystem consisting of three independent text annotation platforms.
Annotating entity mentions and linking them to a knowledge resource are essential tasks in many domains.
We introduce INCEpTION, a new annotation platform for tasks including interactive and semantic annotation (e. g., concept linking, fact linking, knowledge base population, semantic frame annotation).
This paper describes an application system aimed to help lexicographers in the extraction of example sentences for a given headword based on its different senses.
We expect that a more in-depth understanding of these choices across designs may led to increased harmonization, or at least to more informed design of future representations.
Our work 1) allows model consumers to better assess whether a model is suitable for their task, 2) enables tool and model creators to sanity-check their models before distributing them, and 3) enables improvements in tool interoperability by performing automatic adjustments of normalization or other pre-processing based on the models used.
We introduce the third major release of WebAnno, a generic web-based annotation tool for distributed teams.