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courses:rg [2013/12/19 14:52]
popel mailman does not work any more, there is no substitute
courses:rg [2016/10/06 08:54]
popel
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 ~~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 October ​14+    * 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 October ​21. 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 15:50.+    * 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,   * active participation in the discussions,​ which is conditioned by reading the papers in advance and attending the meetings,
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 ^ 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 ​15:50room S1 |+^ Meetings ​    ​| ​Tuesdays ​15:40, 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]] |
 +
 +=== Autumn&​Winter 2016/2017 ===
 +^ date   | **speaker** ​              | **paper** |
 +^ Oct  4 |   | startup meeting |
 +^ Oct 11 | Martin Popel | Kevin Knight, Beáta Megyesi and Christiane Schaefer: [[http://​www.isi.edu/​natural-language/​people/​copiale-11.pdf|The Copiale Cipher]], BUCC 2011, you can watch a [[https://​www.youtube.com/​watch?​v=Eam0Tk-1FyI|trailer]] |
 +^ Oct 18 | Daniela Bodanská ​ | Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu: [[http://​aclweb.org/​anthology-new/​P/​P02/​P02-1040.pdf|BLEU:​ a Method for Automatic Evaluation of Machine Translation]],​ ACL 2002. [[courses:​rg:​2014:​bleu|Questions]] |
 +^ Oct 25 |  | 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 1  |  | 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|Question]]|
 +^ <​del>​Nov 8</​del>​ | --- | no RG (Dean'​s day)|
 +^ Nov 15 |  | 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 22 |  | 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 |
 +^ Nov 29  |  | |
 +^ Dec 6  |  | |
 +^ Dec 13 |  | |
 +
 +
 +
  
-=== Autumn&​Winter 2013/2014 === 
-^ date   | **speaker** ​ | **paper** | 
-^ Oct  7 |              | startup meeting | 
-^ Oct 14 | Martin Popel | Joseph P. Simmons, Leif D. Nelson, Uri Simonsohn: [[http://​people.psych.cornell.edu/​~jec7/​pcd%20pubs/​simmonsetal11.pdf|False-Positive Psychology: Undisclosed Flexibility in Data Collection and Analysis Allows Presenting Anything as Significant]],​ Psychological Science, 2011. [[courses:​rg:​2013:​false-positive-psychology|Questions]]| 
-^ Oct 21 | Rudolf Rosa | Marie-Catherine de Marneffe, Christopher D. Manning: [[http://​www.aclweb.org/​anthology/​W08-1301.pdf|The Stanford typed dependencies representation]],​ Coling 2008. [[courses:​rg:​2013:​stanford-dependencies|Questions and Answers]] | 
-^ Oct 28 | —           | no RG, Independent Czechoslovak State Day  | 
-^ Nov  4 | Jan Mašek ​  | Slav Petrov, Dipanjan Das, Ryan McDonald: [[http://​www.petrovi.de/​data/​universal.pdf|A Universal Part-of-Speech Tagset]] and McDonald et al.: [[http://​ryanmcd.com/​papers/​treebanksACL2013.pdf|Universal Multilingual Annotation for Dependency Parsing]] [[courses:​rg:​2013:​ut-and-udt|Questions]]| 
-^ Nov 11 | Ondřej Fiala | Xuchen Yao, Benjamin Van Durme, Chris Callison-Burch,​ Peter Clark: [[http://​cs.jhu.edu/​~xuchen/​paper/​yao-jacana-wordalign-acl2013.pdf|A Lightweight and High Performance Monolingual Word Aligner]], Proceedings of ACL, 2013. [[courses:​rg:​2013:​jacana-align|Questions]]| 
-^ Nov 18 | Shadi Saleh |Bhagwani, Sumit and Satapathy, Shrutiranjan and Karnick, Harish:​[[http://​aclweb.org/​anthology/​S/​S12/​S12-1085.pdf| Semantic textual similarity using maximal weighted bipartite graph matching]] [[courses:​rg:​2013:​semantic-textual-similarity|Questions]]|| 
-^ Nov 25 | Matous Machacek | Satanjeev Banerjee , Alon Lavie [[http://​www.aclweb.org/​anthology/​W05-0909|METEOR:​ An Automatic Metric for MT Evaluation with 
-Improved Correlation with Human Judgments]] [[courses:​rg:​2013:​meteor|Questions]]| 
-^ Dec  2 | Petr Jankovský | Petrovic, Mathews: [[http://​homepages.inf.ed.ac.uk/​s0894589/​petrovic13unsupervised.pdf | Unsupervised joke generation from big data ]] [[courses:​rg:​2013:​jokes|Questions]] ​ \\ <​html><​font color="​red">​there will be a double Monday seminar in S1 before RG, I hope we will start not much later than at 16:​00</​font></​html>​ | 
-^ Dec  9 | Anna Vernerová ​   | T. Berg-Kirkpatrick,​ D. Burkett, D. Klein: [[http://​www.aclweb.org/​anthology/​D/​D12/​D12-1091.pdf|An Empirical Investigation of Statistical Significance in NLP]] [[courses:​rg:​2013:​significance-bootstrap|Questions]] | 
-^ Dec 16 | Petra Barančíková | Bill Dolan, Chris Quirk, and Chris Brockett: [[http://​research.microsoft.com/​pubs/​68974/​para_coling2004.pdf|Unsupervised Construction of Large Paraphrase Corpora: Exploiting Massively Parallel News Sources ]] [[courses:​rg:​2013:​paraphrase-corpora|Questions]] | 
-^ Jan  6 |             ​| ​  | 

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