Adaptation Studio Release Notes

New languages: Rosette Adaptation Studio now supports Arabic, Chinese, Korean, and Russian in addition to English and Japanese.

Use Basis Training data: You now have the option of using the Basis training data to augment the stock model or to build a model from scratch with just the annotations provided by the Studio. Note that you cannot add new entity types when using the Basis training data.

UI support for case sensitive and case insensitive models: When creating a new project you now select whether the trained model will be case sensitive or case insensitive. Note: you cannot build case sensitive models in this release.

User management improvements: Users can now modify their personal information, including password.

Cache management: Dormant models are now automatically ejected from the REX training server memory.

Healthcheck scripts: Scripts are now provided to check the health of each of the servers.

Status improvements: The Manage page now displays system status, model status, and project status.

Online help available: The User Guide is now available from the Adaptation Studio page.

New labels: Adding and modifying labels has been improved.

Reconcile added: The Finalize task on the project menu has been renamed to Reconcile to more accurately reflect the task performed.

Install improvements: Containers are now zipped, so the install is slightly smaller and the containers load about 20% faster.

Improved error handling: Error handling has been improved in the Rosette Server and REX Training Server installers.

Unused labels can now be deleted, even if they were previously in use.

All errors that occur while loading documents are now displayed.

RTS_URL is now updated in the nginx.conf file after install. The value in the .env file is now used.

Case sensitive and case insensitive models: You can only build case sensitive models in this release.

Help file: The section Adjudicate in the online Help does not match the section in the User Guide. The User Guide is the latest version.

REX Training Server log file messages: The log file for the REX Training Server may contain multiple train-model request failed messages. These are not actual failures. RTS ignores new training requests from a project while there is an active training for that project in process and generates this message. RTS is working as expected.

Japanese is now supported.

The newly-trained models can now be used along with the standard REX extractions to select samples and make label predictions.

Rosette Adaptation Studio supports extracting entities by mixing the newly trained model with all other REX extractions including the standard REX statistical model, gazetteers, and regexes. Which extractions you use depends on your requirements and is configured through the ad-suggestions custom profile and may require experimentation.

Rosette Adaptation Studio now supports model permanence across restarts. If the Rosette Training Server (RTS) crashes at any point in the annotation process, it's able to recover from the crash by reloading the model back into memory from disk.

The training data for the new model comes only from the annotations provided by the user and does not currently use the existing REX model training data.

We recommend waiting fifteen minutes after the last annotation before downloading the model to ensure all annotations have been incorporated into the training of the model. If not provided sufficient time, the downloaded model may be an earlier version that doesn't include the latest annotations.

Supported languages: English.

This release of Adaptation Studio trains new models for REX as annotations are completed, but the newly-trained models are not used by the Active Learning to select samples or make label predictions.

The Export Model option in the Manage page downloads the newly-trained model. Copy this file into Rosette Server to deploy the new model.

The NER-Rosette template is included in this package.