Natural language processing
A.A. 2025/2026
Learning objectives
The aim of the course is to provide an introduction to the fundamental concepts related to Natural Language Processing (NLP) as well as an overview of the main tools used in the field. Moreover, some NLP applications will be presented, e.g. information retrieval, machine translation and automatic misogyny identification.
Expected learning outcomes
After successfully completing the course, students will be able to:
-know the base concepts of the Natural Language Processing field.
-explain the common computational vector space models for words applied in language technology.
-describe the challenges related to word vector models.
-know how to address some Natural Language Processing applications.
-know the base concepts of the Natural Language Processing field.
-explain the common computational vector space models for words applied in language technology.
-describe the challenges related to word vector models.
-know how to address some Natural Language Processing applications.
Periodo: Secondo semestre
Modalità di valutazione: Esame
Giudizio di valutazione: voto verbalizzato in trentesimi
Corso singolo
Questo insegnamento non può essere seguito come corso singolo. Puoi trovare gli insegnamenti disponibili consultando il catalogo corsi singoli.
Course syllabus and organization
Edizione unica
Periodo
Secondo semestre
INF/01 - INFORMATICA - CFU: 6
Lezioni: 48 ore