Natural Language Processing

Lesson goals

• Classification and extraction
• Translation and summarization
• Generation and dialogue

Core idea

How systems analyze text and speech and generate language.

1. Classification and extraction: understand it in context, identify inputs and outputs, and define how the result will be verified.

2. Translation and summarization: understand it in context, identify inputs and outputs, and define how the result will be verified.

3. Generation and dialogue: understand it in context, identify inputs and outputs, and define how the result will be verified.

Practical example

Consider a real application of “Natural Language Processing.” Start small, identify available data, and compare the system with a clear baseline before expanding it.

Check your understanding

1. Explain “Natural Language Processing” in your own words.
2. Give one appropriate and one misleading application.
3. What risk or limitation should be monitored?