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courses:rg [2015/10/26 23:38]
popel
courses:rg [2016/10/05 01:47]
ufal
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 ^ Contact      | popel@ufal.mff.cuni.cz | ^ Contact      | popel@ufal.mff.cuni.cz |
 ^ Mailing list | rg@ufal.mff.cuni.cz     | ^ Mailing list | rg@ufal.mff.cuni.cz     |
-^ Meetings     Mondays 16:00, S1 |+^ Meetings     Tuesdays 15:40, S1 |
 ^ Past meetings| [[courses:rg:past|courses:rg:past]] | ^ Past meetings| [[courses:rg:past|courses:rg:past]] |
 ^ Inspiration  | [[courses:rg:wishlist|courses:rg:wishlist]] | ^ Inspiration  | [[courses:rg:wishlist|courses:rg:wishlist]] |
 ^ Other reading groups  | [[https://github.com/ufal/rg/wiki|Machine Learning RG]] | ^ Other reading groups  | [[https://github.com/ufal/rg/wiki|Machine Learning RG]] |
  
-=== Autumn&Winter 2015/2016 (preliminary plan) ===+=== Autumn&Winter 2016/2017 ===
 ^ date   | **speaker**               | **paper** | ^ date   | **speaker**               | **paper** |
-^ Oct                            | startup meeting |  +^ Oct    | startup meeting | 
-^ Oct 12 Lukáš Žilka, Milan Straka Programming hackatonbased on [[http://web.stanford.edu/class/cs168/|The Modern Algorithmic Toolbox]], read in advance lecture [[http://web.stanford.edu/class/cs168/l/l1.pdf|1]] and [[http://web.stanford.edu/class/cs168/l/l2.pdf|2]] | +^ Oct 11 Martin Popel Kevin KnightBeáta Megyesi and Christiane Schaefer: [[http://www.isi.edu/natural-language/people/copiale-11.pdf|The Copiale Cipher]], BUCC 2011 
-^ Oct 19 Martin Popel Mark Johnson: [[http://cs.brown.edu/courses/cs195-5/fall2009/docs/lecture_10-27.pdf|A brief introduction to kernel classifiers]], 2009. You can also read [[http://ciml.info/dl/v0_9/ciml-v0_9-ch09.pdf|chapter from ciml.info]]. [[courses:rg:2014:kernels|Questions]] | +^ Oct 18 Daniela Bodanská  Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu: [[http://aclweb.org/anthology-new/P/P02/P02-1040.pdf|BLEU: a Method for Automatic Evaluation of Machine Translation]], ACL 2002. [[courses:rg:2014:bleu|Questions]] | 
-^ Oct 26 Lukáš Žilka, Milan Straka | hands-on tutorial on using some neural network toolkit | +^ Oct 25 |  | Michael Collins: [[http://ucrel.lancs.ac.uk/acl/W/W02/W02-1001.pdf|Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms]], EMNLP 2002. [[courses:rg:2014:perceptron|Questions]]| 
-^ Nov  2 |                           | Michael Collins: [[http://ucrel.lancs.ac.uk/acl/W/W02/W02-1001.pdf|Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms]], EMNLP 2002. [[courses:rg:2014:perceptron|Questions]] | +^ Nov   | Andrew McCallum, Dayne Freitag, Fernando Pereira: [[http://www.ai.mit.edu/courses/6.891-nlp/READINGS/maxent.pdf|Maximum Entropy Markov Models for Information Extraction and Segmentation]], Conference on Machine Learning 2000, [[http://courses.ischool.berkeley.edu/i290-dm/s11/SECURE/gidofalvi.pdf|slides]] [[courses:rg:2014:memm|Question]]| 
-^ Nov  —                         | no RG, dean's day | +<del>Nov 8</del> --- | no RG (Dean's day)| 
-^ Nov 16 |                           | Andrew McCallum, Dayne Freitag, Fernando Pereira: [[http://www.ai.mit.edu/courses/6.891-nlp/READINGS/maxent.pdf|Maximum Entropy Markov Models for Information Extraction and Segmentation]], Conference on Machine Learning 2000, [[http://courses.ischool.berkeley.edu/i290-dm/s11/SECURE/gidofalvi.pdf|slides]] | +^ Nov 15 |  | John Lafferty, Andrew McCallum, Fernando Pereira: [[http://www.cs.utah.edu/~piyush/teaching/crf.pdf|Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data]], 2001. [[courses:rg:2014:crf|Questions]] | 
-^ Nov 23                           | John Lafferty, Andrew McCallum, Fernando Pereira: [[http://www.cs.utah.edu/~piyush/teaching/crf.pdf|Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data]], 2001. [[courses:rg:2014:crf|Questions]] | +^ Nov 22  Tomas Mikolov, Kai Chen, Greg Corrado, Jeffrey Dean: [[http://arxiv.org/pdf/1301.3781.pdf|Efficient Estimation of Word Representations in Vector Space]], ICLR 2013 | 
-^ Nov 30              |  | +^ Nov 29  |  | 
-^ Dec  7 |              |  | +^ Dec  |  
-^ Dec 14 |              |  |+^ Dec 13 |  | 
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