Laurea Magistrale: Informatica.

Docente: Giuseppe Attardi Ricevimento: Mercoledì, 11:00

Assistente: Stefano Dei Rossi

1. Calcolo delle probabilità e statistica
2. Programmazione

1. Introduction
   1. History
   2. Present and Future
   3. NLP and the Web
2. Mathematical Background
   1. Probability and Statistics
   2. Language Model
   3. Hidden Markov Model
   4. Viterbi Algorithm
   5. Generative vs Discriminative Models
3. Linguistic Essentials
   1. Part of Speech and Morphology
   2. Phrase structure
   3. Collocations
   4. n-gram Models
   5. Word Sense Disambiguation
4. Preprocessing
   1. Encoding
   2. Regular Expressions
   3. Segmentation
   4. Tokenization
   5. Normalization
5. NLTK
   1. Introduction to Python
   2. Overvies of NLTK libraries
6. Classification
   1. Machine Learning
   2. Statistical classifiers
      1. Bayesan Network
      2. Perceptron
      3. Maximum Entropy
      4. Support Vector Machines
      5. Hidden Variable Models
7. Clustering
   1. K-means
   2. Factored Models
      1. Singular Value Decomposition
      2. Latent Semantic Indexing
8. Tagging
   1. Part of Speech
   2. Named Entity
   3. Super Senses
9. Sentence Structure
   1. Constituency Parsing
   2. Dependency Parsing
10. Semantic Analysis
    1. Semantic Role Labeling
    2. Coreference resolution
11. Statistical Machine Translation
    1. Word-Based Models
    2. Phrase-Based Models
    3. Decoding
    4. Syntax-Based SMT
    5. Evaluation metrics
12. Processing Pipelines
    1. Integrated tooolkit
    2. Frameworks
       1. Gate
       2. UIMA
    3. Data Pipeline
       1. Tanl
13. Applications
    1. Information Extraction
    2. Information Filtering
    3. Recommender System
    4. Opinion Mining
    5. Semantic Search
    6. Question Answering
       1. Text Entailment

Tematiche

1. C. Manning, H. Schutze. Foundations of Statistical Natural Language Processing. MIT Press, 2000.
2. D. Jurafsky, J.H. Martin, Speech and Language Processing. 2nd edition, Prentice-Hall, 2008.
3. S. Kubler, R. McDonald, J. Nivre. Dependency Parsing. 2010.
4. P. Koehn. Statistical Machine Translation. Cambridge University Press, 2010.
5. S. Bird, E. Klein, E. Loper. Natural Language Processing with Python.

Progetto e orale.

1. Apprendimento Automatico: Fondamenti
2. Data Mining: fondamenti
3. Information Retrieval
4. Sistemi Basati sulla Conoscenza

• 2010-2011