Course Outline
Introduction to Natural Language Generation (NLG) for Government
- Overview of NLG and its applications in public sector workflows
- Understanding the NLG pipeline for government use cases
- Introduction to Python libraries for NLG, tailored for government projects
Data Collection and Preparation for Government
- Collecting data from various sources to support government initiatives
- Cleaning and preprocessing text data for accuracy and compliance
- Organizing content for generation in alignment with public sector requirements
Language Modeling for NLG in the Public Sector
- Introduction to language models suitable for government applications
- Training a language model for text generation, ensuring it meets governance standards
- Fine-tuning language models using SpaCy and NLTK, with a focus on public sector data
Sentence Planning and Text Structuring for Government
- Planning sentence structure and content flow to enhance clarity in government communications
- Using templates for text generation that align with official documentation standards
- Customizing text structure based on specific use cases within the public sector
Content Generation and Post-Processing for Government
- Generating text from structured data to support government reporting and analysis
- Evaluating and refining generated content to ensure it meets regulatory requirements
- Post-processing and formatting output to maintain consistency and professionalism in government documents
Advanced NLG Techniques for Government Applications
- Using neural networks for text generation, such as GPT models, tailored for government needs
- Handling context and coherence in generated text to ensure accuracy and reliability in public sector communications
- Exploring real-world applications and case studies of NLG in the public sector
Final Project: Building an NLG System for Government
- Defining a project scope that aligns with government objectives and standards
- Building and deploying an NLG system to support public sector operations
- Testing and evaluating the system to ensure it meets performance and compliance criteria
Summary and Next Steps for Government Applications
Requirements
- Experience with Python programming
Audience
- Software developers for government
- Data scientists for government
Testimonials (2)
Hands-on exercises related to content really helps to understand more about each topic. Also, style of start class with lecture and continue with hands-on exercise is good and helpful to relate with the lecture that presented earlier.
Nazeera Mohamad - Ministry of Science, Technology and Innovation
Course - Introduction to Data Science and AI using Python
Examples/exercices perfectly adapted to our domain
