Our and other tools for Named-Entity Recognition and Disambiguation

<<TableOfContents()>>

= TagMe =

Register [[https://services.d4science.org/group/tagme|here]] to get access to the !TagMe API.
Once logged in, click 'show' on the left panel to get your personal API Token.

You can then query the API with a request as follows, replacing <TOKEN> with your token and <TEXT> with the text to annotate:
{{{
https://tagme.d4science.org/tagme/tag?lang=en&gcube-token=<TOKEN>&text=<TEXT>
}}}
The response is a JSON object.
See [[https://tagme.d4science.org/tagme/tag?lang=en&gcube-token=56af583d-5f6e-496f-aea2-eab06673b6a3-843339462&text=Congratulations! University of Freiburg is now using TagMe.|this example]] (using Matthias' token).

Each annotation has a certainty level rho (between 0 and 1). According to the documentation, reasonable threshold values are between 0.1 and 0.3.

Check the [[https://sobigdata.d4science.org/web/tagme/tagme-help|API documentation]] for help.

[[https://github.com/marcocor/tagme-python|tagme-python]] is a simple wrapper to query the API and parse the responses.

The original source code of !TagMe is available on [[https://github.com/gammaliu/tagme|Github]].

= Ambiverse =

TODO