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courses:rg [2013/03/11 18:54]
dusek
courses:rg [2017/10/12 15:44] (current)
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. 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 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 =====   
-  * 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 (RG) meetings. 
-  * In case of more than three missed ​meetings ​or deadlinesadditional reports ​(or answers to tricky questionsare required.+ 
 +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]]
 +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)]].
  
-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 ​    | 
-^ List Archive | [[http://​ufal.mff.cuni.cz/​mailman/​listinfo/​rg]] | 
-^ 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  | Ondřej Dušek ​   | Michael Collins, Nigel Duffy: [[http://​www.cs.cmu.edu/​Groups/​NIPS/​NIPS2001/​papers/​psgz/​AA58.ps.gz|Convolution kernels for natural language]], NIPS 2001. [[courses:​rg:​2013:​convolution-kernels|Questions and Answers]] | 
-^ Mar 11 | Ondřej Košarko ​  | Aron Culotta, Jeffrey Sorensen: [[http://​www.newdesign.aclweb.org/​anthology-new/​P/​P04/​P04-1054.pdf|Dependency Tree Kernels for Relation Extraction]],​ ACL 2004. [[courses:​rg:​2013:​dep-tree-kernels|Questions]] | 
-^ Mar 18 |Jindřich Helcl  | Intro to Structured prediction. 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 | Sara van de Moosdijk | 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  | Vincent Kríž | 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 | Ondřej Fiala | Ashish Venugopal, Jakob Uszkoreit, David Talbot, Franz J. Och, Juri Ganitkevitch:​ [[http://​aclweb.org/​anthology-new/​D/​D11/​D11-1126.pdf|Watermarking the Outputs of Structured Prediction with an application in Statistical Machine Translation]],​ 2011 | 
-^ Apr 22 | Matěj Korvas | Yansong Feng, Mirella Lapata: [[http://​aclweb.org/​anthology-new/​N/​N10/​N10-1125.pdf|Topic Models for Image Annotation and Text Illustration]] | 
-^ Apr 29 | Karel Bílek | | 
-^ May 6  | Jan Mašek | | 
-^ May 13 | Matouš Macháček ​ | | 
-^ May 20 | Petr Jankovský | last RG | 
  

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