Master in Data Science (MDS)

Mining Unstructured Data - Spring 2026

Instructors

Jordi Turmo (coordinator), jordi.turmo@upc.edu
Office: Omega-216, Campus Nord UPC
Salvador Medina, salvador.medina.herrera@upc.edu
Office: Omega-S106, Campus Nord UPC
Carlos Escolano (laboratory), carlos.escolano@upc.edu
Office: Omega-S106, Campus Nord UPC

Sessions

	Date	Content	Lecturer
Week 1	February 9th	Introduction to MUD	Jordi
Week 1	February 10th	Lab Session 1 Introduction to laboratory Task data & other stuff	Carlos
Week 2	February 16th	Document structure and language	Jordi
Week 2	February 17th	Lab Session 2 Guides and code for task 1 (Document structure and language)	Carlos
Week 3	February 23th	Distributional Embeddings + Exercises about Distributional Embeddings	Salvador
Week 3	February 24th	Lab Session 3 Link to the colab code	Carlos
Week 4	March 2nd	Distributional embeddings for word classification + Exercises about Word Classification	Salvador
Week 4	March 3th	Lab Session 4 Guidelines and code for task 2 (NN-based NERC) + Colab link	Carlos
Week 5	March 9th	Contextual embeddings: Recurrent NN Language Models + Exercises about RNNs	Salvador
Week 5	March 10th	Lab Session 5 Guidelines and code for task 3 (NN-based DDI) + Colab link	Carlos
Week 6	March 16th	Contextual embeddings: Transformers + Exercises about transformers	Salvador
Week 6	March 17th	Lab Session 6	Carlos
Week 7	March 23th	Large language models	Salvador
Week 7	March 24th	Lab Session 7	Carlos
	April 30th and 31st	No class (Bank Holidays)
	April 6th	No class (Bank Holidays)
	April 7th	No class (FIB midterm exams)
Week 8	April 13th	No class (FIB midterm exams)
Week 8	April 14th	Lab Session 8	Carlos
Week 9	April 20th	Words: PoS Tagging	Jordi
Week 9	April 21st	Lab Session 9	Carlos
Week 10	April 27th	Words: Lexical Semantics	Jordi
Week 10	April 28th	Lab Session 10 Exercise of WordNet similarities Link to the colab code	Carlos
Week 11	May 4th	Word Sequence: Named Entities and Noun Phrases + Exercises about features for word sequence recognition	Jordi
Week 11	May 5th	Lab Session 11 Guidelines for task 4 (ML-based NERC) Code for task 4	Carlos
Week 12	May 11th	Sentence: Constituent Parsing + Exercises about constituent parsing	Jordi
Week 12	May 12th	Lab Session 12 Guidelines and code for task 5 (ML-based DDI) Code for task 5	Carlos
Week 13	May 20th	Sentence: Dependency Parsing + Exercises about dependency parsing	Jordi
Week 13	May 21st	Lab Session 13	Carlos
Week 14	May 25th	No class (Holiday)
Week 14	May 26th	Lab Session 14	Carlos

Important dates

March 2nd: Delivery of Doc. structure and language report (lab task 1)

April 28th: Delivery of NN-based NERC+DDI report (lab tasks 2 and 3)

May 26th: Delivery of comparison NN-based vs ML-based NERC+DDI report (lab tasks 4 and 5)

June 15th: Final exam

Solved Exercises

Exercises about Word Embeddings

Exercises about Word Classification

Exercises about RNNs

Exercises about Transformers

Exercises about Features for Word Sequence Recognition

Exercises about Constituent Parsing

Exercises about Dependency Parsing

Resources

Complementary Readings

Alexander Clark, Chris Fox, Shalom Lappin (eds.)
The Handbook of Computational Linguistics and Natural Language Processing
Blackwell Handbooks in Linguistics, John Wiley & Sons, 2012.
R. Dale, H. Moisl, H.Somers (eds.)
Handbook of Natural Language Processing
Marcel Dekker, New York, 2000.
Nitin Indurkhya, Fred J. Damerau
Handbook of Natural Language Processing, Second Edition
Chapman & Hall/CRC Machine Learning & Pattern Recognition, 2010.
D. Jurafsky, James H. Martin
Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition
Prentice Hall, Upper Saddle River, N.J., 2017 (online version)
C. Manning, H. Schütze
Foundations of Statistical Natural Language Processing
MIT Press, Cambridge, Mass., 1999.
R. Mitkov (ed.)
The Oxford Handbook of Computational Linguistics
Oxford University Press, 2004.

Software

Language Processing

Machine Learning / Deep Learning

External Knowledge

Word Embeddings

Utilities