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courses:rg [2015/10/26 23:38]
popel
courses:rg [2017/10/02 13:23]
popel
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 ===== 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. 
-  * presenting one paper, + 
-    * Select a term (write your name to the schedule below) before October 13. +Since 2016, the wiki is moved to https://​github.com/​ufal/​NPFL095/​wiki and the mailing list to [[https://groups.google.com/​forum/#​!forum/​npfl095|npfl095@googlegroups.com]]. 
-    * 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basics to more advance papers)+See also [[courses:​rg:​past|an overview ​of past meetings], [[courses:​rg:​wishlist|an outdated wishlist]] and [[https://​github.com/​ufal/​rg/​wiki|Machine Learning RG (active in 2014)]].
-    * 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. +
-    * 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 paperto 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, S1 | 
-^ 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]] | 
  
-=== Autumn&​Winter 2015/2016 (preliminary plan) === 
-^ date   | **speaker** ​              | **paper** | 
-^ Oct  5 |                           | startup meeting |  
-^ 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 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|a chapter from ciml.info]]. [[courses:​rg:​2014:​kernels|Questions]] | 
-^ Oct 26 | Lukáš Žilka, Milan Straka | hands-on tutorial on using some neural network toolkit | 
-^ 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  9 | —                         | 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 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 30 |              |  | 
-^ Dec  7 |              |  | 
-^ Dec 14 |              |  | 

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