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courses:rg [2013/02/18 17:02]
popel two more papers suggested
courses:rg [2022/02/08 00:40] (current)
rosa +phd rg
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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. Requirements for getting credits:  
-  * presenting one paper, 
-    * Select a term (write your name to the schedule below) before Feb 25. 
-    * 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 4. 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--6 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 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 ([[http://ufal.mff.cuni.cz/mailman/listinfo/rg|subscribe]] first) by Monday 16:00. 
-    * One week after the presentation (at the latest), write your (or the best) answers below the questions, plus a summary of interesting points discussed at the presentation (report). 
-  * active participation in the discussions, which is conditioned by reading the papers in advance and attending the meetings, +===== Reading Group for Master students =====   
-  * sending your answers to me and the presenter by Friday 23:59 (so the presenter can go through all answers before the presentation and focus more on problematic parts). +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 (RGmeetings.
-  In case of more than three missed meetings or deadlines, additional reports (or answers to tricky questionsare required.+
-All questionsreports and presented papers must be in EnglishThe presentations are in English by defaultbut if all present people agree it may be in Czech.+Since 2016the 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]]. 
 +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)]].
-^ Contact      | popel@ufal.mff.cuni.cz | +===== Reading Group for PhD students ===== 
-^ Mailing list | rg@ufal.mff.cuni.cz     | + 
-^ List Archive | [[http://ufal.mff.cuni.cz/mailman/listinfo/rg]] | +See the [[https://ufal.mff.cuni.cz/courses/rg/|website of PhD reading group]] (related also to a previous reading group called Deep Learning Seminar originally led by Milan Straka).
-^ Meetings     | Mondays 16:00, room S1 | +
-^ Past meetings| [[courses:rg:past|courses:rg:past]] +
-^ Inspiration  | [[courses:rg:wishlist|courses:rg:wishlist]] |+
-=== Spring&Summer 2013 === 
-^ date   | **speaker** | **paper** | 
-^ Feb 18 |             | startup meeting| 
-^ Feb 25 | 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_8/ciml-v0_8-ch09.pdf|a chapter from cimpl.info]] | 
-^ Mar 4  |    | Michael Collins, Nigel Duffy: [[http://www.cs.cmu.edu/Groups/NIPS/NIPS2001/papers/psgz/AA58.ps.gz|Convolution kernels for natural language]], NIPS 2001. | 
-^ Mar 11 |    | Aron Culotta, Jeffrey Sorensen: [[http://www.newdesign.aclweb.org/anthology-new/P/P04/P04-1054.pdf|Dependency Tree Kernels for Relation Extraction]], ACL 2004. | 
-^ Mar 18 |    | Intro to Structured prediction and 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. As for the intro, [[http://people.mmci.uni-saarland.de/~titov/teaching/seminar-struct-prediction/struct-pred-class-01.pdf|Ivan Titov]] or [[http://nlpers.blogspot.cz/2006/04/what-is-structured-prediction.html|Hal Daumé]] have nice materials ([[http://nlpers.blogspot.cz/2006/01/structured-prediction-1-whats-out.html|Hal has many more]]). | 
-^ Mar 25 |    | 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]] | 
-^ Apr 1  |    | no RG, Easter (and April Fool's Day) | 
-^ Apr 8  |    | 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 | 
-^ Apr 15 |    | | 
-^ Apr 22 |    | | 
-^ Apr 1  |    | | 
-^ May 6  |    | | 
-^ May 13 |    | | 
-^ May 20 |    | last RG | 

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