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<div align="center"> <a href="https://inception-project.github.io/"> <img width="471" style="max-width:50%;" src="inception/inception-doc/src/main/resources/META-INF/asciidoc/inception-logo.png" alt="INCEpTION Logo"/> </a> <p> A semantic annotation platform offering intelligent assistance and knowledge management. </p> <br/> <p> <a href="https://inception-project.github.io/"><strong>Homepage</strong></a> 路 <a href="https://inception-project.github.io/documentation/latest/user-guide"><strong>Usage</strong></a> 路 <a href="https://morbo.ukp.informatik.tu-darmstadt.de/demo"><strong>Demo</strong></a> 路 <a href="https://inception-project.github.io/documentation/latest/user-guide#sect_faq"><strong>FAQ</strong></a> </p> <p>

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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.

<div align="center" style="margin: 10px"> <img src="https://inception-project.github.io/images/screenshot-annotation.png" alt="INCEpTION Screenshot" /> </div>

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

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:

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.

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.

  1. Create a fork
  2. Create your feature branch: git checkout -b my-feature
  3. Commit your changes: git commit -am 'Add some feature'
  4. Push to the branch: git push origin my-new-feature
  5. Submit a pull request 馃殌

License

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


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