UsefulLinks
Computer Science
Software Engineering
Chatbot Development
1. Introduction to Chatbots
2. Foundational Technologies
3. Core Components of Conversational AI
4. Chatbot Design Principles
5. Development Methodologies
6. Building NLU Systems
7. Dialogue Management Systems
8. Large Language Models in Chatbots
9. Development Tools and Platforms
10. Integration and Deployment
11. Testing and Quality Assurance
12. Monitoring and Analytics
13. Maintenance and Continuous Improvement
14. Advanced Topics
15. Ethics and Responsible AI
3.
Core Components of Conversational AI
3.1.
Natural Language Understanding
3.1.1.
Intent Recognition
3.1.1.1.
Intent Definition
3.1.1.2.
Intent Classification
3.1.1.3.
Multi-intent Handling
3.1.2.
Entity Extraction
3.1.2.1.
Named Entity Recognition
3.1.2.2.
Slot Filling
3.1.2.3.
Entity Linking
3.1.3.
Sentiment Analysis
3.1.3.1.
Polarity Detection
3.1.3.2.
Emotion Recognition
3.1.3.3.
Aspect-Based Sentiment
3.2.
Dialogue Management
3.2.1.
State Tracking
3.2.1.1.
Dialogue State Representation
3.2.1.2.
Belief State Tracking
3.2.1.3.
Context Maintenance
3.2.2.
Policy Learning
3.2.2.1.
Rule-Based Policies
3.2.2.2.
Statistical Policies
3.2.2.3.
Reinforcement Learning Policies
3.2.3.
Response Selection
3.2.3.1.
Template-Based Selection
3.2.3.2.
Retrieval-Based Selection
3.2.3.3.
Ranking Mechanisms
3.3.
Natural Language Generation
3.3.1.
Template-Based Generation
3.3.1.1.
Static Templates
3.3.1.2.
Dynamic Templates
3.3.1.3.
Slot Filling
3.3.2.
Neural Generation
3.3.2.1.
Sequence-to-Sequence Models
3.3.2.2.
Attention Mechanisms
3.3.2.3.
Transformer-Based Generation
3.3.3.
Response Planning
3.3.3.1.
Content Selection
3.3.3.2.
Discourse Planning
3.3.3.3.
Surface Realization
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2. Foundational Technologies
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4. Chatbot Design Principles