Master in Artificial Intelligence (MAI)

Advanced Human Language Technology - Spring 2026

Instructors

Sessions

Date Content
February 12th No class - Lectures cancelled
February 19th Introduction
Statistical Language Models
MLE practical example
Lab Session 1
Lab zipfile for the whole course.
Introduction to Task 1 (NERC). Baseline.
1.1. NERC using ML
February 26 Statistical Language Models (continued)
MEM practical example
Exercises about estimation and smoothing
Lab Session 2
Continue Task 1.1 (NERC using ML)
March 5th Lexical similarity. Distributional Semantics.
Exercises about similarities
Lab Session 3
1.2. NERC using NN
March 12th Sequence Prediction
Exercises about features
Lab Session 4
Continue Task 1.2 (NERC using NN)
March 19th Dependency Parsing
Exercises about dependency parsing
Lab Session 5
1.3. NERC using LLMs
March 26th Recap exercises on all previous topics
Lab Session 7
Continue Task 1.3 (NERC using LLM)
April 2nd No class - spring break
April 9th No class (FIB midterm week)
(No AHLT midterm, though)
April 16th Word Embeddings
Exercises about Word Embeddings
Lab Session 8
Introduction to Task 2 (DDI). Baseline.
2.1. DDI using ML
April 23rd Recurent Neural Networks
Exercises about RNNs
Lab Session 9
Continue Task 2.1 (DDI using ML)
April 30th Convolutional Neural Networks
Exercises about CNNs
Lab Session 10
2.2. DDI using NN
May 7th No class - (friday schedule)
May 14th Transformers
Exercises about Transformers
Lab Session 11
2.3. DDI using LLMs
May 21st Large Language Models
Exercises about LLMs
Lab Session 12
Continue Task 2.3 (DDI using LLMs)
May 28th Limitations and Ethics
Discussion/Review/Exercises
Lab Session 13
Continue Task 2.3 (DDI using LLMs)

Important dates

April 26th: Deadline for delivery of NER report (lab task 1)
June 14th: Deadline for delivery of DDI report (lab task 2)
June 18th, 15:00-18:00h: Final exam

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