Slides

Lecture slides from the Advanced Natural Language Processing (ANLP) and Agentic Conversational Search courses at the Department of Advanced Computing Sciences, Maastricht University. Covers everything from tokenization and transformers to multi-agent orchestration, LLM fine-tuning, and speech recognition, openly available for reuse and adaptation.

Lecture Slides

Slides are hosted on GitHub alongside the course tutorials. All PDFs open directly in your browser or can be downloaded.

Agentic Conversational Search

IRTM, DACS, Maastricht University, 2025–2026

01	Introduction	View PDF →
02	Index and Query Optimizations	View PDF →
03	Relevance	View PDF →
04	Measuring Quality (incl. Tutorial)	View PDF →
06	Building Knowledge Graphs from Text, Part 1	View PDF →
07	Building Knowledge Graphs from Text, Part 2	View PDF →
08	Detecting Patterns and Organizing Text, Part 1	View PDF →
09	Detecting Patterns and Organizing Text, Part 2	View PDF →
10	Conversational Search, The Basics	View PDF →
11	Conversational Search, Sticking to the Facts	View PDF →
12	Conversational Search, Agentic Approaches	View PDF →

Full lecture notes (PDF) → Course syllabus → Browse all files →

Advanced Natural Language Processing

ANLP, DACS, Maastricht University, 2026–2027

01	The Problem with NLP	View PDF →
02	Tokenization	View PDF →
03	Text and Document Representation	View PDF →
04	Measuring Quality in NLP	View PDF →
05	Syntax and Semantics	View PDF →
06	Statistical NLP	View PDF →
07	A History of Deep Learning	View PDF →
08	Deep Learning, Transfer Learning, Encoder-Decoder & Attention	View PDF →
09	Deep Learning, Self-Attention & Transformers	View PDF →
10	Deep Learning, BERT	View PDF →
11	GPT	View PDF →
12	XAI for NLP	View PDF →
13	Fine-Tuning LLMs	View PDF →
14	Distillation, Compression & Pruning	View PDF →
15	Speech Recognition	View PDF →
16	Multi-Modal Models	View PDF →
17	LLM as Agents	View PDF →
18	Multi-Agent Orchestration	View PDF →
19	Examples of Applications	View PDF →

Browse all files →