Natural Language Generation

This document includes a summary of all lectures, lecture notes, screenshots of important lecture slides and extra notes to help understand the contents and concepts better.

This cheat sheet contains the most important information from the course and refers to pages in the full summary for extra details. Everything is clearly highlighted.

This document contains notes and summaries covering the content of the course Natural Language Generation within the Artificial Intelligence Master at Utrecht University.

This document contains notes and summaries covering the content of the course Natural Language Generation within the Artificial Intelligence Master at Utrecht University.

This document contains notes and summaries covering the content of the course Natural Language Generation within the Artificial Intelligence Master at Utrecht University. It is divided into two parts: Explainability and Fairness. It covers the following topics: - intro to nlg - nlg metrics and evaluation - commercial nlg - linguistics, pragmatics and the grecian maxims - REG algorithms

Summary of the course Natural Language Generation. This consists of lectures, notes, student presentations, and summaries of papers. These are processed into one whole. Please note! : lectures 16 until 18 are not summarized!