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courses:rg [2012/02/27 12:35]
joda 		courses:rg [2015/02/16 12:34]
popel
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 ~~NOTOC~~ ~~NOTOC~~
-===== 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. For inspiration see the [[courses:rg:wishlist|wishlist]]. Requirements for getting credits: presenting one paper, writing a report about another presented paper, and active participation in the discussions (which is conditioned by reading the papers in advance and attending the meetings). 
  
-^ Contact      | popel at ufal.mff.cuni.cz | +===== Spring 2015 ===== 
-^ Mailing list | rg at ufal.mff.cuni.cz     | +In the spring semester 2015, Reading Group (NPFL110, Modern Methods in Computational Linguistics II) 
-^ List Archive | [[http://ufal.mff.cuni.cz/mailman/listinfo/rg]] | +will be merged with the Machine-Learning Reading Group. 
-^ Meetings     | Mondays 15:10, room S1 | +Please, see [[https://github.com/ufal/rg/wiki]] for details and subscribe to [[ufal-rg@googlegroups.com]] to stay informed.
-^ Past meetings| [[courses::rg::past|courses::rg::past]] |+
  
-=== Spring&Summer 2012 === +Regular meetings will take place on Mondays at 16:00 in front of the room 424. 
-^ date | **speaker** | **paper** | + 
-^ Feb 27 | Martin Popel | Kevin Knight, Beáta Megyesi and Christiane Schaefer: [[http://www.isi.edu/natural-language/people/copiale-11.pdf|The Copiale Cipher]], BUCC 2011 | +   
-^ Mar 5  |  |  | +===== Reading Group =====   
-^ Mar 12 | Joachim Daiber |  | +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:  
-^ Mar 19 | Rudolf Rosa |  | +  * presenting one paper, 
-^ Mar 26 | Tomáš Kraut |  | +    * Select a term (write your name to the schedule below) before October 13. 
-^ Apr 2  | Petra Galuščáková |  | +    * If no paper is assigned to the term, suggest [[mailto:popel@ufal.mff.cuni.cz|me]] 2--3 papers you would like to present (with pdf links, and your preferences) before October 20. Ideally, make a group of 2--4 students presenting papers on a common topic (starting from basics to more advance papers). 
-^ Apr 16 | Bushra Jawaid  |  | +    * Prepare your presentation and 3--5 quiz questions. At least 3 of the questions should ask for a specific answer, e.g. "write an equation for...", "given training set X=([dog,N],[cat,Y]), what is the number..." (Not "what do you think about..."). The first question should be quite easy to answer for those who have read the whole paper. The last question may be a tricky one. Send me the questions two weeks before your presentation. We may discuss the paper and refine the questions. 
-^ Apr 23 |  |  |+    * One week before the presentation, write the questions to a dedicated wiki page here. Send a reminder (questions and a link to the pdf of the paper) to rg@ufal.mff.cuni.cz by Monday 15:45. 
 + 
 +  * active participation in the discussions, which is conditioned by reading the papers in advance and attending the meetings, 
 +  * sending your answers to me and the presenter by Saturday 23:59 (so the presenter can go through all answers before the presentation and focus more on problematic parts). 
 +  * In case of more than three missed meetings or deadlines, additional work (e.g. reports or answers to tricky questions) will be required. 
 + 
 +All questions, reports and presented papers must be in English. The presentations are in English by default, but if all present people agree it may be in Czech. 
 + 
 +^ Contact      | popel@ufal.mff.cuni.cz | 
 +^ Mailing list | rg@ufal.mff.cuni.cz     | 
 +^ Meetings     | Mondays 16:00, corridor, in front of 424 | 
 +^ Past meetings| [[courses:rg:past|courses:rg:past]] | 
 +^ Inspiration  | [[courses:rg:wishlist|courses:rg:wishlist]] | 
 +^ Other reading groups  | [[https://github.com/ufal/rg/wiki|Machine Learning RG]] |
  
  

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