EMNLP 2024system demonstrations0 citations

Integrating INCEpTION into larger annotation processes

Richard Eckart De Castilho, Jan-Christoph Klie, Iryna Gurevych

Abstract

Annotation tools are increasingly only steps in a larger process into which they need to be integrated, for instance by calling out to web services for labeling support or importing documents from external sources. This requires certain capabilities that annotation tools need to support in order to keep up. Here, we define the respective requirements and how popular annotation tools support them. As a demonstration for how these can be implemented, we adapted INCEpTION, a semantic annotation platform offering intelligent assistance and knowledge management. For instance, support for a range of APIs has been added to INCEpTION through which it can be controlled and which allow it to interact with external services such as authorization services, crowdsourcing platforms, terminology services or machine learning services. Additionally, we introduce new capabilities that allow custom rendering of XML documents and even the ability to add new JavaScript-based editor plugins, thereby making INCEpTION usable in an even wider range of annotation tasks.

BibTeX
@inproceedings{eckart-de-castilho-etal-2024-integrating,
    title = "Integrating {INCE}p{TION} into larger annotation processes",
    author = "Eckart De Castilho, Richard  and
      Klie, Jan-Christoph  and
      Gurevych, Iryna",
    editor = "Hernandez Farias, Delia Irazu  and
      Hope, Tom  and
      Li, Manling",
    booktitle = "Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: System Demonstrations",
    month = nov,
    year = "2024",
    address = "Miami, Florida, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2024.emnlp-demo.12/",
    doi = "10.18653/v1/2024.emnlp-demo.12",
    pages = "110--121"
}