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    Annotating Multi-Page Documents Efficiently with Dynamic Pagination and Cross-Page Annotation

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    Ph.D. in Computer Science – Head of Product

    A new generation of the NLP Lab is now available: the Generative AI Lab. Check details here https://www.johnsnowlabs.com/nlp-lab/

    Dynamic pagination

    The support for pagination offered by earlier versions of the Annotation Lab involved the use of the tag `<pagebreak>`. A document pre-processing step was necessary for adding/changing the page breaks and those involved extra effort from the part of the users.
    With the release of Annotation Lab 2.8.0 a paradigm change for pagination happened. Going forward, pagination is dynamic and can be configured according to the user’s needs and preferences from the Labeling page. Annotators or reviewers can now choose the number of words to include on a single page from a predefined list of values or can add the desired counts. 

    A new settings option has been added to prevent splitting a sentence into two different pages. 


    Cross-page Annotations 

    With the dynamic pagination came another highly demanded feature – Cross page NER annotation for Text projects. This means that an annotator is now able to annotate a chunk starting at the bottom of one page and finishing in the middle of the next page if necessary.  

    This feature is also offered for Relations. In older versions of the tool, relations were created between chunks located on the same page. But now, relations can be created among tokens located on different pages.
    The way to do this is to first change the pagination settings to include a higher number of tokens on one page, then create the annotation using the regular annotation approach and finally go back to the original pagination settings. The annotation is persisted after the update of the pagination. 

     

    Stay tuned for more exciting features!

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    Ph.D. in Computer Science – Head of Product
    Our additional expert:
    Dia Trambitas is an AI Product Manager with deep expertise in Natural Language Processing and applied Generative AI. At John Snow Labs, Dia has led the development of the Generative AI Lab — a no-code platform for data annotation and model training — as well as the Medical Chatbot, a secure and domain-specific conversational AI assistant tailored for clinical environments. With a strong focus on practical deployments of cutting-edge AI, she has worked at the intersection of healthcare and technology, driving product innovation that empowers users to harness large language models safely and effectively. Passionate about transforming unstructured data into actionable insights, Dia brings a strategic and user-centered approach to building AI tools that are both powerful and accessible.

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