NATURAL LANGUAGE PROCESSING
PRESENTAZIONE
The Data Semantics course provides an introduction to the most challenging issues in knowledge and data representation and semantics, with particular emphasis on languages and technologies for the semantic web.
OBIETTIVI E CONTENUTI
OBIETTIVI FORMATIVI
Learning how to process and represent natural language, and the main software components of a system able to understand natural language.
OBIETTIVI FORMATIVI (DETTAGLIO) E RISULTATI DI APPRENDIMENTO
After the course students will be able to design and implement an ontology and to understand, present and discuss in a critical way the most challenging issues in ontology development and in Natural Language Processing.
Modalità didattiche
Traditional: frontal lessons and laboratories
PROGRAMMA/CONTENUTO
Contents:
Ontology languages and tools:
- RDF&RDFS
- OWL
- SPARQL
Semantic Data Management:
- RDF Use Cases
- Linked Open Data
- Ontologies for data integration
Computational linguistic:
- Tools and resources for NLP
- Multilinguality issues
- Open Research problems (negation, irony detection, ...)
Ontology development:
- Ontology engineering
- Ontology learning & population
- Ontology matching
Applications
TESTI/BIBLIOGRAFIA
S. Abiteboul, I. Manolescu, F. Rigaux, M.C. Roust, P. Senellart. Web Data Management. Cambridge University Press. 2011
DOCENTI E COMMISSIONI
Ricevimento: Appointment by email Office: Valle Puggia – third floor
Commissione d'esame
VIVIANA MASCARDI (Presidente)
BARBARA CATANIA
GIOVANNA GUERRINI (Presidente Supplente)
LEZIONI
Modalità didattiche
Traditional: frontal lessons and laboratories
ESAMI
Modalità d'esame
The exam will consist in a written part (traditional open/closed questions, exercises) plus an individual project (requiring about 1 man/week to be completed).
Each student will choose her/his most preferred project type and topic: as an example, a project might consist in writing a report on issues that have not been discussed in details during the course, or developing a SW component using one of the tools studied during the course, or experimenting with some new SW library/application and reporting the results of the experimentation to the teachers in a written document. In case of SW development, a short report accompanying the developed component is required.
Modalità di accertamento
The acquisition of the skills foreseen by this course are assessed via the written exam + the project which have been carefully designed to allow the teachers to verify whether a student is actually able to design and implement an ontology and to understand, present and discuss in a critical way the most challenging issues in ontology development and in Natural Language Processing.
Calendario appelli
Data | Ora | Luogo | Tipologia | Note |
---|---|---|---|---|
23/07/2021 | 09:00 | GENOVA | Esame su appuntamento | |
17/09/2021 | 09:00 | GENOVA | Esame su appuntamento | |
11/02/2022 | 09:00 | GENOVA | Esame su appuntamento |