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courses:rg [2014/10/06 17:12]
sudarikov
courses:rg [2015/10/15 10:26]
popel
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 ~~NOTOC~~ ~~NOTOC~~
-===== Reading Group =====+ 
 +===== Reading Group =====  
 Official name of this course is [[https://is.cuni.cz/studium/predmety/index.php?do=predmet&kod=NPFL095|NPFL095]] **Modern Methods in Computational Linguistics**. It is a continuation of informal Reading Group (RG) meetings. Requirements for getting credits:  Official name of this course is [[https://is.cuni.cz/studium/predmety/index.php?do=predmet&kod=NPFL095|NPFL095]] **Modern Methods in Computational Linguistics**. It is a continuation of informal Reading Group (RG) meetings. Requirements for getting credits: 
   * presenting one paper,   * presenting one paper,
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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, room S1 |+^ Meetings     | Mondays 16:00, 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 2014/2015 === +=== Autumn&Winter 2015/2016 (preliminary plan) === 
-^ date   | **speaker**  | **paper** | +^ date   | **speaker**               | **paper** | 
-^ Oct               | startup meeting | +^ Oct                            | startup meeting |  
-^ Oct 13 Jindřich Libovický Peter FBrown et all.: [[http://www.aclweb.org/anthology/J92-4003|Class-Based n-gram Models of Natural Language]], Computational Linguistics, 1992See also [[http://statmt.blogspot.cz/2014/07/understanding-mkcls.htmlnotes about the mkcls implementation]] | +^ Oct 12 Lukáš Žilka, Milan Straka Programming hackaton, based 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 20 Tomáš Kraut | 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.| +^ Oct 19 or Oct 20 | Martin Popel | Mark Johnson: [[http://cs.brown.edu/courses/cs195-5/fall2009/docs/lecture_10-27.pdf|A brief introduction to kernel classifiers]], 2009You can also read [[http://ciml.info/dl/v0_9/ciml-v0_9-ch09.pdf|a chapter from ciml.info]]. [[courses:rg:2014:kernels|Questions]] | 
-Oct 27  Roman Sudarikov | 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]] | +^ Oct 26 Lukáš Žilka, Milan Straka | hands-on tutorial on using some neural network toolkit | 
-^ Nov | | John Lafferty, Andrew McCallum, Fernando Pereira: [[http://www.cis.upenn.edu/~pereira/papers/crf.pdf|Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data]], 2001. +^ 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. | 
-^ Nov 10 | | Joseph Turian, Lev Ratinov, Yoshua Bengio: [[http://anthology.aclweb.org//P/P10/P10-1040.pdf|Word representations: A simple and general method for semi-supervised learning]], ACL 2010. +Nov  9 | —                         | no RG, dean's day | 
-<del>Nov 17</del> | --- | no RG (Struggle for Freedom and Democracy 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 24 | | | +^ 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]] | 
-^ Dec  | | +^ Nov 30               
-^ Dec 7  | | +^ Dec               |  | 
-^ Dec 14 | | +^ Dec 14 |              |  |
-^ Jan 5  | last RG | +

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