CODICE 90541 ANNO ACCADEMICO 2021/2022 CFU 6 cfu anno 2 COMPUTER SCIENCE 10852 (LM-18) - GENOVA SETTORE SCIENTIFICO DISCIPLINARE INF/01 LINGUA Inglese SEDE GENOVA PERIODO 1° Semestre MATERIALE DIDATTICO AULAWEB PRESENTAZIONE The Natural Language Processing course provides an introduction to the most challenging issues in processing natural languages, driven by the three layers of syntax, semantics, pragmatics; the most recent applications of natural language processing tools are discussed, including the design and development of ontologies and of chatbots. 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 use existing tools and design and implement new ones for solving Natural Language Processing problems at the syntactic and semantic level. They will also be able to design and implement a chatbot using one of the most widespread chatbot languages. MODALITA' DIDATTICHE Traditional: frontal lessons and laboratories PROGRAMMA/CONTENUTO NLP Introduction and Terminology Regular Expressions Syntax at Word Level: Stop Words, TF-IDF, Stemming, Normalization, Minimum Edit Distance Syntax at Sentence Level: Grammars, Part Of Speech (POS) Tagging with Definite Clause Grammars, POS Tagging with Hidden Markov Models, A critical comparison of DCG and HMM for POS Tagging Semantics: Distributional semantics, word2vect, Frame Semantics, Model-theoretic semantics, Lexical Semantics, WordNet, BabelNet, Named Entity Recognition, Ontologies and the Semantic Web, Ontologies and their applications, Ontology Learning and Ontology Matching Pragmatics NLP applications and recap of the Most common (non-trivial) NLP features, with examples of how and when using them Applications: Chatbots TESTI/BIBLIOGRAFIA The notes of the course DOCENTI E COMMISSIONI VIVIANA MASCARDI Ricevimento: Su appuntamento (mandare una mail) ANGELO FERRANDO Commissione d'esame VIVIANA MASCARDI (Presidente) BARBARA CATANIA GIOVANNA GUERRINI (Presidente Supplente) LEZIONI Orari delle lezioni L'orario di questo insegnamento è consultabile all'indirizzo: Portale EasyAcademy ESAMI MODALITA' D'ESAME The exam will consist in a quiz, a written part (traditional open/closed questions, exercises) plus an individual project (requiring about 1 man/week to be completed). MODALITA' DI ACCERTAMENTO The acquisition of the skills foreseen by this course will be assessed via the quiz and 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 a tool solving some (simplified) NLP problem and to understand, present and discuss in a critical way the most challenging issues raised by its development. Calendario appelli Data appello Orario Luogo Tipologia Note 22/07/2022 09:00 GENOVA Esame su appuntamento 16/09/2022 09:00 GENOVA Esame su appuntamento 10/02/2023 09:00 GENOVA Esame su appuntamento