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Reveal Review Publication

Custom Entities

Reveal AI allows you to create custom entity types keying off your data and adapted to your workflow. You build these entity types through AI-driven entity models informed by your data and your annotations. To feed the model-building you can annotate the data in several ways. You might identify exemplary text components through pattern searches (by way of regular expressions). Or you might use lists of keywords or wildcards, or engage in user annotation of the document text. 

Once this is done, your admin can let the model building go to work using your examples as a guide. You can refine the resulting entity model by further annotation, identifying additional relevant content or, alternatively, by identifying false positives. 

Your System Administrator can store the models used to generate these new entity types in a library for use in future projects. Through a succession of projects in which new data and new work product are applied, your bespoke entity models will embody accumulated expertise. With these tools you can make quick work of new case assessment. 

Click on the section heading links below for details on each subject.

Under the EXPLORING Tab select the Term reports icon to Create Report by choosing Entity search and extract.

In addition to entity search and extraction, you may engage in user annotation by highlighting relevant words and phrases in document text prior to building a model. Also, once an entity model is built and run you can improve a model by engaging in further user annotation under TRAINING.

  1. Adding User Annotations - You may engage in user annotation by highlighting relevant words and phrases in document text prior to building a model or improving a model once created.

  2. Candidate Entities & Validating/Invalidating Examples - For custom entities only you may tell the system if an entity is valid or invalid.

Once a sufficient number of annotations have been accomplished the System Admin may proceed to build a Custom Entity Model. Once created, model results can be retrieved and refined through further annotation.

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