Master in Data Science (MDS)

Mining Unstructured Data - Spring 2025

Instructors

Jordi Turmo (coordinator), turmo@cs.upc.edu
Office: Omega-321, 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 10th	Introduction to MUD	Jordi
Week 1	February 11th	Lab Session 1 Introduction to laboratory Task data & other stuff	Carlos
Week 2	February 17th	Document structure and language	Jordi
Week 2	February 18th	Lab Session 2 Guides and code for task 1 (Document structure and language)	Carlos
Week 3	February 24th	Words: PoS Tagging	Jordi
Week 3	February 25th	Lab Session 3	Carlos
Week 4	March 3th	Words: Lexical Semantics	Jordi
Week 4	March 4th	Lab Session 4 Exercise of WordNet similarities Link to the colab code	Carlos
Week 5	March 10th	Distributional Embeddings + Exercises about Distributional Embeddings	Salvador
Week 5	March 11th	Lab Session 5 Link to the colab code	Carlos
Week 6	March 17th	Word Sequence: Named Entities and Noun Phrases + Exercises about features for word sequence recognition	Jordi
Week 6	March 18th	Lab Session 6 Guidelines for task 2 (ML-based NERC) Code for task 2	Carlos
Week 7	March 24th	Word sequence: Distributional embeddings for word classification + Exercises about Word Classification	Salvador
Week 7	March 25th	Lab Session 7 Guidelines and code for task 3 (NN-based NERC) + Colab link	Carlos
Week 8	March 31th	Sentence: Constituent Parsing + Exercises about constituent parsing	Jordi
Week 8	April 1st	Lab Session 8	Carlos
	April 7th and 8th	No class (FIB midterm exams)
	April 14th and 15th	No class (Bank Holidays)
Week 9	April 21st	No class (Bank Holidays)
Week 9	April 22nd	Lab Session 9	Carlos
Week 10	April 28th	MOVED TO NEXT SESSION	Jordi
Week 10	April 29th	Lab Session 10 Guidelines and code for task 4 (ML-based DDI) Code for task 4	Carlos
Week 11	May 5th	Sentence: Dependency Parsing + Exercises about dependency parsing	Jordi
Week 11	May 6th	Lab Session 11	Carlos
Week 12	May 12th	Contextual embeddings: Recurrent NN Language Models + Exercises about RNNs	Salvador
Week 12	May 13th	Lab Session 12 Guidelines and code for task 5 (NN-based DDI) + Colab link	Carlos
Week 13	May 20th	Contextual embeddings: Transformers + Exercises about transformers	Salvador
Week 13	May 21st	Lab Session 13	Carlos
Week 14	May 26th	Large language models	Salvador
Week 14	May 27th	Lab Session 14	Carlos

Important dates

March 3th: Delivery of Doc. structure and language report (lab task 1)

April 28th: Delivery of NERC report (lab tasks 2 and 3)

May 27th: Delivery of DDI report (lab tasks 4 and 5)

June 2nd: Final exam

Solved Exercises

Exercises about Features for Word Sequence Recognition

Exercises about Word Embeddings

Exercises about Word Classification

Exercises about Constituent Parsing

Exercises about Dependency Parsing

Exercises about RNNs

Exercises about Transformers

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