[ Skip to the content ]

Institute of Formal and Applied Linguistics Wiki


[ Back to the navigation ]

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revision Previous revision
Next revision
Previous revision
Next revision Both sides next revision
courses:rg [2014/03/03 19:34]
popel
courses:rg [2015/12/08 11:37]
popel
Line 1: Line 1:
 ~~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,
-    * Select a term (write your name to the schedule below) before February 24+    * Select a term (write your name to the schedule below) before October 13
-    * 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 March 3. Ideally, make a group of 2--4 students presenting papers on a common topic (starting from basics to more advance papers).+    * 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).
     * 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.     * 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 paper) to rg@ufal.mff.cuni.cz by Monday 15:45.     * 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.
Line 16: Line 17:
 ^ 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 15:45room 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]] |
  
-=== Spring&Summer 2014 === +=== Autumn&Winter 2015/2016 (preliminary plan) === 
-^ date   | **speaker** | **paper** | +^ date   | **speaker**               | **paper** | 
-Feb 24             | startup meeting, John Langford: [[http://hunch.net/?p=224|All Models of Learning have Flaws]], 2007 +Oct  5              | startup meeting |  
-Mar  3 Vincent     RExtractor – Framework for Extracting Relations from Texts, 2014 | +^ Oct 12 | LukášMilan | 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]] 
-Mar 10 Rudolf      MLFix +Oct 19 Martin       | 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]] 
-Mar 17 Petra       paraphrases <html><font color="red">This time, we'll meet <b>in the corridor</b> instead of S1.</font></html> +Oct 26 Lukáš, Milan hands-on tutorial on using some neural network toolkit 
-Mar 23 Martin      Treex +Nov  2 Adéla        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]] 
-Mar 31 Ivana       | | +Nov  9 —            no RG, dean's day 
-Apr  7             | | +Nov 16              cont. from last RG 
-Apr 14             | | +Nov 23 Milan, Lukáš NN hackaton 
-^ <del>Apr 21</del> no RG       Easter +Nov 30 Aneta        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|Questions]]
-May              | | +Dec  Adéla        Charles J. Fillmore: [[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.494.5064&rep=rep1&type=pdf|Border Conflicts: FrameNet Meets Construction Grammar]], 2008  
-^ May 12 |             +Dec 14 Aneta        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 |
-May 19             last RG |+
  
  

[ Back to the navigation ] [ Back to the content ]