If you are not fully satisfied with the default segmentation or with off-the-shelf segmenters, you can create your own segmentation pipeline in combining for instance an AI model with off-the-shelf components.
- Go to the Processing view
- Create a new segmenter
- Give a name to your segmenter
- Select “Advanced segmenter”
- Add a first component to the pipeline
- Select an existing model that you have already built in your project. For instance a CRF model that detects document boundaries (for instance: “Article 3.1”, “Article 3.2″….)
- Then, add a new component as “off-the-shelf component”
- Select the Annotation-based segmentation that will segment document at each annotation extracted by the CRF model
- Save and activate the segmentation pipeline on your project. All existing annotations will be kept.
- In the Processing view, the yellow star shows the default segmenter used in the project. This segmenter will be used as soon as you upload new documents in the project.
- Check the new segmentation in the Segments view
- If you want to use or experiment an off-the-shelf segmenter