A semantic annotation platform offering intelligent assistance and knowledge management.

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INCEpTION

INCEpTION provides a semantic annotation platform offering intelligent annotation assistance and knowledge management.
For more information, visit the INCEpTION website. For a first impression on
what INCEpTION is, you may want to watch
our introduction videos.

INCEpTION is a text-annotation environment useful for various kinds of annotation tasks on written text. Annotations are
usually used for linguistic and/or machine learning concerns. INCEpTION is a web application in which several users can
work on the same annotation project, and it can contain several annotation projects at a time. It provides a recommender system
that suggest potential annotations to help you create annotations faster and easier. Beyond annotating, you can also create a corpus
by searching an external document repository and adding documents. Moreover, you can use knowledge bases, e.g. for
tasks like entity linking.

Getting started

The best way to get started is to
watch our tutorial videos,
working through
the Getting Started Guide and
playing with INCEpTION on the demo server.

See our documentation for further reading

User Guide: If you only use INCEpTION and do not develop it,
the User Guide beginning right
after Getting Started is the guide of your choice. If it does not answer your questions, don’t hesitate to contact
us (see Do you have questions or feedback?).
Admin Guide: For information on how to set up INCEpTION for a group of users on a server and more installation
details, see the Admin Guide.
Developer Guide: INCEpTION is open source. So if you would like to develop for it,
the Developer Guide might be interesting
for you.

Many more materials like example projects
, use case descriptions
and helpful scripts are available via the INCEpTION
homepage.

We also offer several Jupyter Notebooks which describe how you can interact in Python with INCEpTION, prepare or
post-process annotations:

Export annotations as one sentence per line
Use pre-tokenized and pre-annotated documents in INCEpTION
Convert Word files to CAS XMI for import into INCEpTION
Working with INCEpTION slot features in DKPro Cassis
… more Python examples

Do you have questions or feedback?

INCEpTION is still in development, so you are welcome to give us feedback and tell us your wishes and requirements.

For many questions, you find answers in the main documentation: Core Functionalities.
Consider our Google group inception-users
You can also open an issue on Github.

How to cite

Please use the following citation:

@inproceedings{klie-etal-2018-inception,
    title = "The {INCE}p{TION} Platform: Machine-Assisted and Knowledge-Oriented Interactive Annotation",
    author = "Klie, Jan-Christoph and Bugert, Michael  and Boullosa, Beto and Eckart de Castilho, Richard and Gurevych, Iryna",
    booktitle = "Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations",
    year = "2018",
    address = "Santa Fe, New Mexico",
    url = "https://www.aclweb.org/anthology/C18-2002",
    pages = "5--9"
}

Contributing

Do you miss a feature? We very much appreciate your contribution! Please open an issue before sending a pull request.
INCEpTION uses the DKPro Contribution Guidelines.

Create a fork
Create your feature branch: git checkout -b my-feature
Commit your changes: git commit -am 'Add some feature'
Push to the branch: git push origin my-new-feature
Submit a pull request 🚀

License

INCEpTION is provided as open source under the Apache License v2.0.