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magistraleinformatica:eln:start [07/10/2016 alle 10:37 (6 anni fa)]
Giuseppe Attardi [Programma]
magistraleinformatica:eln:start [07/03/2018 alle 10:19 (4 anni fa)] (versione attuale)
Giuseppe Attardi [Textbooks]
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 | 6/10/2016 | Python Tutorial ({{:magistraleinformatica:eln:3-python.ppt|Tutorial}}) | [[https://github.com/rajathkumarmp/Python-Lectures|Python Tutorial Notebook]]| | 6/10/2016 | Python Tutorial ({{:magistraleinformatica:eln:3-python.ppt|Tutorial}}) | [[https://github.com/rajathkumarmp/Python-Lectures|Python Tutorial Notebook]]|
 | 7/10/2016 | Python Tutorial and examples ({{:magistraleinformatica:eln:3-python-generators.pdf|Python: Functionals and Generators}}) |{{:magistraleinformatica:eln:homework_12-1.pdf|Homework 1}} | | 7/10/2016 | Python Tutorial and examples ({{:magistraleinformatica:eln:3-python-generators.pdf|Python: Functionals and Generators}}) |{{:magistraleinformatica:eln:homework_12-1.pdf|Homework 1}} |
- | Introduction to NLTK ({{:magistraleinformatica:eln:4-nltk.ppt|slides}}) | | +13/10/2016 | Introduction to NLTK ({{:magistraleinformatica:eln:4-nltk.ppt|slides}}) | | 
- Text Classification ({{:magistraleinformatica:eln:4-textclassification.ppt|slides}})| | +14/10/2016 Segmentation and Tokenization ({{:magistraleinformatica:eln:5-tokenization.ppt|slides}}) | | 
- | Naive Bayes Classifier | {{:magistraleinformatica:eln:4-textclassification.ppt|slides}} | +20/10/2016 Text Classification ({{:magistraleinformatica:eln:4-textclassification.pptx|slides}})| 
- Segmentation and Tokenization ({{:magistraleinformatica:eln:5-tokenization.pdf|slides}}) | | +21/10/2016 Naive Bayes Classifier ({{:magistraleinformatica:eln:4-textclassification.pptx|slides}}) |{{:magistraleinformatica:eln:homework_16-2.pdf|Homework n. 2}} 
- | Maximum Entropy Models ({{:magistraleinformatica:eln:8-classifiers.ppt|slides}}) | {{:magistraleinformatica:eln:homework_12-2.pdf|Homework n. 2}}+27/10/2016 | Maximum Entropy Models ({{:magistraleinformatica:eln:8-classifiers.ppt|slides}}) | | 
- | Hidden Markov Model ({{:magistraleinformatica:eln:6-hmm.ppt|slides}}) | | +28/10/2016 | Hidden Markov Model ({{:magistraleinformatica:eln:6-hmm.ppt|slides}}) | | 
- | Named Entity Recognition ({{:magistraleinformatica:eln:7-ner.ppt|slides}}) | | +10/11/2016 | Named Entity Recognition ({{:magistraleinformatica:eln:7-ner.ppt|slides}}) | | 
- | MEMM ({{:magistraleinformatica:eln:7-ner.ppt|slides}}) | | +11/11/2016 | MEMM ({{:magistraleinformatica:eln:7-ner.ppt|slides}}) | | 
- | Perceptron, SVM ({{:magistraleinformatica:eln:8-classifiers.ppt|}}) | | +17/11/2016 | Perceptron, SVM ({{:magistraleinformatica:eln:8-classifiers.ppt|}}) | | 
- | Dependency Formalism ({{:magistraleinformatica:eln:esslli1.pdf|slides}}) | | +19/11/2016 | Deep Learning Libraries | {{:magistraleinformatica:eln:keras-mnist-tutorial.zip|}}| 
- | Dependency Parsing ({{:magistraleinformatica:eln:11-parsing.ppt|Transition Based}})| {{:magistraleinformatica:eln:topicsandprojects.ppt|Topics for Seminars and Projects}} | +| 24/11/2016 | Dependency Formalism ({{:magistraleinformatica:eln:esslli1.pdf|slides}}) | | 
- | Dependency Parsing ({{:magistraleinformatica:eln:esslli4.pdf|Graph Based }})| | +25/11/2016 | Dependency Parsing ({{:magistraleinformatica:eln:11-parsing.ppt|Transition Based}})| {{:magistraleinformatica:eln:topicsandprojects.ppt|Topics for Seminars and Projects}} | 
- | Relation Extraction {{:magistraleinformatica:eln:12-relextraction.ppt|}} | | +1/12/2016 | Dependency Parsing ({{:magistraleinformatica:eln:esslli4.pdf|Graph Based }})| | 
-|  | Sentiment Analysis{{:magistraleinformatica:eln:13-opinionmining.ppt|}} |  +2/12/2016 | Sentiment Analysis{{:magistraleinformatica:eln:13-opinionmining.ppt|}} |  |
-|  | State of the Art in Sentiment Analysis of Tweets [[http://www.saifmohammad.com/WebDocs/web-Atlanta-Talk-SemEval2013-Sentiment.pdf|NRC Canada at SemEval 2013]] | |+
 |  | Deep Learning [[http://nlp.stanford.edu/courses/NAACL2013/NAACL2013-Socher-Manning-DeepLearning.pdf|Deep Learning Tutorial at NAACL 2013]] | [[https://github.com/jdwittenauer/ipython-notebooks/tree/master/notebooks|ML Course by Andrew Ng]]| |  | Deep Learning [[http://nlp.stanford.edu/courses/NAACL2013/NAACL2013-Socher-Manning-DeepLearning.pdf|Deep Learning Tutorial at NAACL 2013]] | [[https://github.com/jdwittenauer/ipython-notebooks/tree/master/notebooks|ML Course by Andrew Ng]]|
 |  | Deep Learning for NLP {{:magistraleinformatica:eln:deepnl.pptx| DL and the DeepNL Library}} | | |  | Deep Learning for NLP {{:magistraleinformatica:eln:deepnl.pptx| DL and the DeepNL Library}} | |
- | Machine Translation ({{:magistraleinformatica:eln:13-smt.ppt|MT}}) | | +15/12/2016 | Machine Translation ({{:magistraleinformatica:eln:13-smt.ppt|MT}}) ({{:magistraleinformatica:eln:14-smt.ppt|PBMT}})| |
-|  | Phrase Based Statistical Machine Translation ({{:magistraleinformatica:eln:14-smt.ppt|PBMT}})| | +
-|  | {{:magistraleinformatica:eln:tsunamidlovernlp.pptx|The tsunami of Deep Learning over NLP }}| |+
 |  | PB SMT ({{:magistraleinformatica:eln:phrase-model.pdf|Phrase Tables}}, {{:magistraleinformatica:eln:phrase-decoding.pdf|Decoding}}, {{:magistraleinformatica:eln:evaluation.pdf|Evaluation}}) | | |  | PB SMT ({{:magistraleinformatica:eln:phrase-model.pdf|Phrase Tables}}, {{:magistraleinformatica:eln:phrase-decoding.pdf|Decoding}}, {{:magistraleinformatica:eln:evaluation.pdf|Evaluation}}) | |
-====== Suggerimenti per Progetti o Seminari ======= +| 16/12/2016 | {{:magistraleinformatica:eln:universaldependencies.ppt| Universal Dependencies}} | | 
- +|  | State of the Art in Sentiment Analysis of Tweets [[http://www.saifmohammad.com/WebDocs/web-Atlanta-Talk-SemEval2013-Sentiment.pdf|NRC Canada at SemEval 2013]] | | 
-{{:magistraleinformatica:eln:topicsandprojects.ppt| Suggestions for Projects or Seminars}} +|  | Relation Extraction {{:magistraleinformatica:eln:12-relextraction.ppt|}} | | 
-====== Testi di riferimento ======+|  | {{:magistraleinformatica:eln:tsunamidlovernlp.pptx|The tsunami of Deep Learning over NLP }}| | 
 +|  | Andrew Ng | [[https://www.dropbox.com/s/dyjdq1prjbs8pmc/NIPS2016%20-%20Pages%202-6%20(1).pdf|Nuts and Bolts of Building Applications using Deep Learning]] | 
 +====== Textbooks ======
  
   - C. Manning, H. Schutze. [[http://nlp.stanford.edu/fsnlp/promo/|Foundations of Statistical Natural Language Processing]]. MIT Press, 2000.   - C. Manning, H. Schutze. [[http://nlp.stanford.edu/fsnlp/promo/|Foundations of Statistical Natural Language Processing]]. MIT Press, 2000.
-  - D. Jurafsky, J.H. Martin, [[http://www.cs.colorado.edu/~martin/slp2.html|Speech and Language Processing]]. 2nd edition, Prentice-Hall, 2008.+  - D. Jurafsky, J.H. Martin, [[http://www.cs.colorado.edu/~martin/slp2.html|Speech and Language Processing]]. 2nd edition, Prentice-Hall, 2008. See also upcoming 3rd edition.
   - S. Kubler, R. McDonald, J. Nivre. [[http://www.morganclaypool.com/doi/abs/10.2200/S00169ED1V01Y200901HLT002|Dependency Parsing]]. 2010.   - S. Kubler, R. McDonald, J. Nivre. [[http://www.morganclaypool.com/doi/abs/10.2200/S00169ED1V01Y200901HLT002|Dependency Parsing]]. 2010.
   - P. Koehn. [[http://www.statmt.org/book/|Statistical Machine Translation]]. Cambridge University Press, 2010.   - P. Koehn. [[http://www.statmt.org/book/|Statistical Machine Translation]]. Cambridge University Press, 2010.
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   - I. Goodfellow, Y. Bengio, A. Courville. [[http://www.deeplearningbook.org/| Deep Learning]]. MIT Press, 2016.   - I. Goodfellow, Y. Bengio, A. Courville. [[http://www.deeplearningbook.org/| Deep Learning]]. MIT Press, 2016.
   - M. Nielsen. [[http://neuralnetworksanddeeplearning.com| Neural Networks and Deep Learning]].   - M. Nielsen. [[http://neuralnetworksanddeeplearning.com| Neural Networks and Deep Learning]].
-====== Modalità di esame ====== 
-Progetto e orale. 
  
-====== Progetti Evalita 2014 ======+====== Related Courses ====== 
 + 
 +[[http://web.stanford.edu/class/cs224n/|Natural Language Processing with Deep Learning]], Stanford. 
 + 
 +[[https://www.youtube.com/playlist?list=PL3FW7Lu3i5Jsnh1rnUwq_TcylNr7EkRe6|Natural Language Processing with Deep Learning, video lectures]], Stanford. 
 +====== Exam ====== 
 +Project or seminar. 
 + 
 +{{:magistraleinformatica:eln:topicsandprojects.ppt|Topics for projects and seminars}}
  
-   * Raccolta di [[http://medialab.di.unipi.it/Project/Evalita/Rome.2010-08-16.tok.gz| tweet italiani tokenizzati]]. +====== Evalita 2015 Projects ======
-   * [[http://medialab.di.unipi.it/Project/Evalita/polarizzate.tsv.gz|Dizionario di termini polarizzati]]. +
-   * Raccolta di [[http://medialab.di.unipi.it/Project/Evalita/Rome.2010-08-16.pos.gz| tweet italiani taggati con POS]].+
  
-====== Corsi affini ======+   * SentiPolc: Sentiment Polarity in Twitter. Primo classificato. 
 +   * NeelIt: Named Entity Recognition and Linking in Twitter. Primo classificato 
 +====== Affine courses ======
  
   - Apprendimento Automatico: Fondamenti   - Apprendimento Automatico: Fondamenti
magistraleinformatica/eln/start.1475836652.txt.gz · Ultima modifica: 07/10/2016 alle 10:37 (6 anni fa) da Giuseppe Attardi