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Train Aura to understand: Use cases development over Aura NLP
Guidelines for every step in the process for personalized use cases development over Aura NLP, in order to make Aura understand the users’ requests.
Related documents
📄 Aura NLP descriptive documentation
Process at a glance
. Get sure your system has the required technical resources
. Install the Aura NLP Virtual Machine
. Generate a local branch for the NLP data repository
. Build up the dynamic pipeline
. Configure the NLP model
. Generate training files, test set files and dictionaries
. Train the understanding model in order to make it understand properly the users' requests
. Evaluate the accuracy of the NLP model locally
. If results are satisfactory, it must be also validated by Aura Global Team
. Merge and generate the NLP package containing the understanding model
. Deploy the new package to make it available
Introduction
This section includes the detailed process for the development of use cases over aura-nlp together with all the complementary stages that linguists and NLP experts need for this purpose.
The following figure schematically shows the workflow for the development of a use case over Aura NLP, where every stage is fully described in succeeding sections.
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Firstly, get sure you fulfil all the prerequisites for the configuration of the NLP development environment.
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Afterwards, follow the orderly stages in use cases development over Aura NLP.
If you are interested in a specific process, access directly to its documentation here:
- Catalog of components for NLP pipelines: catalog of stages, connectors and normalization pipelines that can be used to compose the NLP pipeline.
- Aura NLP entities catalogs: Description of entities catalogs, input for Aura NLP dictionaries.
- Aura NLP dictionaries: Description of dictionaries, used to recognize entities.
- Use of Grammars in Aura NLP: guidelines for using Grammars in an NLP model.
- Complementary processes: processes that may be carried out over external software when developing a use case and procedures followed by the Aura NLP Global Team.