NLP Process Model Documentation¶
Creates an instance of a standardized NLP Process Model
Documentation Usage¶
This documentation covers several topics:
For not STAMP 4 NLP familiar users: STAMP 4 NLP Getting Started
The general STAMP 4 NLP process: STAMP 4 NLP Documentation
The project specific content: NLP Process Model documentation
And the project code documentation: Code Documentation
The NLP Process Model facilitates the structured, transparent, instantiable and collaborative development of a NLP application in cooperation with a business partner. It is based on a metric-driven approach to measure its quality and its progress, that is made over iterations. The process model includes agile components like iterative and incremental methods with opportunity to goal refinement.
- Subprocesses
- Roles
- Artifacts
- Annotation Guidelines
- Annotation Set
- Annotation Types
- Augmentation Strategies
- Augmented Training Dataset
- Business Requirements
- Corpus
- Corpus Format
- Corpus Metric Report
- Corpus Metric Requirements
- Customer Vision
- Data Augmentation Strategies
- Data Management Report
- Data Sources
- Environment Specification
- Evaluation Dataset
- Integration Plan
- Machine Learning Requirements
- MEDIATION Test Cases
- Metric Report
- Model
- NLP Pipeline
- NLP Tasks
- Operating Manual
- Process Visualization
- Production Report
- Quality Assurance Report
- Recommendation and Business Decision
- Software Package
- Technical Requirements
- Test Dataset
- Training Dataset
- Versioned Software Package
- Versioning Concept
- Tasks
- Apply Data Augmentation
- Approve Requirements
- Check Business Requirements
- Check on Concept Drift
- Corpus Composition
- Corpus Stratifying
- Create New Corpus Version
- Data Annotating
- Data Management
- Define NLP Goal
- Deploy and Deliver Application
- Deployment
- Domain Knowledge Transfer
- Evaluate Data Sources
- Integrate Services in Customer Application
- Metric Compliance
- Monitoring
- Package Software and Models
- Quality Assurance
- Requirements Documentation Review
- Review Current Process
- Specify Annotations
- Specify Requirements
- Staffing and Project Management
- Tool Composition
- Training
- Version Packaged Software and Model
- NLP Process Model
- Getting Started
- Convention Changes
- Role Assignment
- Dependencies
- Artifacts
- Annotation Guidelines
- Annotation Set
- Annotation Types
- Augmentation Strategies
- Augmented Training Dataset
- Business Requirements
- Corpus
- Corpus Format
- Corpus Metric Report
- Corpus Metric Requirements
- Customer Vision
- Data Augmentation Strategies
- Data Management Report
- Data Sources
- Environment Specification
- Evaluation Dataset
- Integration Plan
- Machine Learning Requirements
- MEDIATION Test Cases
- Metric Report
- Model
- NLP Pipeline
- NLP Tasks
- Operating Manual
- Process Visualization
- Production Report
- Quality Assurance Report
- Recommendation and Business Decision
- Software Package
- Technical Requirements
- Test Dataset
- Training Dataset
- Versioned Software Package
- Versioning Concept