Natural Language Processing
A.Y. 2024/2025
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.
Lesson period: Second semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Lesson period
Second semester
INF/01 - INFORMATICS - University credits: 6
Lessons: 48 hours
Professors:
Fersini Elisabetta, Pasi Gabriella, Raganato Alessandro