Questa è una vecchia versione del documento!
Laurea Magistrale: Informatica.
Docente: Giuseppe Attardi Ricevimento: Mercoledì, 11:00
Schedule | ||
---|---|---|
Day | Hour | Room |
Tuesday | 9-11 | C, Polo Fibonacci |
Friday | 9-11 | L1, Polo Fibonacci |
Date | Lecture | Notes |
---|---|---|
20/2/2012 | Introduction | |
21/2/2012 | Introduction to probability (slides) | |
27/2/2012 | Python Tutorial (slides) Python: Functionals and Generators | |
28/2/2012 | Text Classification (slides) | |
5/3/2012 | Naive Bayes Classifier | |
Introduction to NLTK (slides) | ||
6/3/2012 | Segmentation and Tokenization (slides) | Homework 1 |
27/3/2012 | Maximum Entropy Models (slides) | Homework n. 2 |
Hidden Markov Model (slides) | ||
Named Entity Recognition (slides) | ||
Perceptron, SVM | ||
17/4/2012 | Dependency Formalism(slides) | |
23/4/2012 | Dependency Parsing (Graph Based , Transition Based) | |
MEMM | ||
Machine Translation (MT) | ||
Phrase Based Statistical Machine Translation (PBMT) | ||
21/5/2013 | Deep Leraning | Deep Learning for NLP |
28/5/2013 | Summarization | Summarization |
28/5/2013 | Automatic Speech Recognition | ASR Overview |
Progetto e orale.