[ 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
courses:rg [2014/11/10 16:41]
nguyenti
courses:rg [2017/10/12 15:44]
popel
Line 1: Line 1:
 ~~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 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 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. 
-    * 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, +===== Reading Group =====   
-  * 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)+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 work (e.g. reports or answers to tricky questionswill be 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 ​    | 
-^ Meetings ​    | Mondays 16:00, room 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 2014/2015 === 
-^ date   | **speaker** ​ | **paper** | 
-^ Oct  6 |              | startup meeting | 
-^ Oct 13 | Jindřich Libovický | Peter F. Brown et all.: [[http://​www.aclweb.org/​anthology/​J92-4003|Class-Based n-gram Models of Natural Language]], Computational Linguistics,​ 1992. See also [[http://​statmt.blogspot.cz/​2014/​07/​understanding-mkcls.html| notes about the mkcls implementation]] | 
-^ Oct 20 | Tomáš Kraut | 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]]| 
-^ Oct 27  | Roman Sudarikov | 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]]| 
-^ Nov 3 | Dušan Variš | 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 10 | Duc Tam Hoang | Joseph Turian, Lev Ratinov, Yoshua Bengio: [[http://​anthology.aclweb.org//​P/​P10/​P10-1040.pdf|Word representations:​ A simple and general method for semi-supervised learning]], ACL 2010. [[courses:​rg:​2014:​wr|Questions]]| 
-^ <​del>​Nov 17</​del>​ | --- | no RG (Struggle for Freedom and Democracy Day) | 
-^ Nov 24 | Vendula Michlíková | 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 | 
-^ Dec 1  | Richard Ejem | Marco Pennacchiotti,​ Patrick Pantel: [[http://​www.aclweb.org/​anthology/​D09-1025|Entity Extraction via Ensemble Semantics]],​ ACL 2009. | 
-^ Dec 8  | Nguyen Tien Dat| Elia Bruni and Marco Baroni: Distributional semantics from text and images, ACL 2010 : Distributional Semantics in Technicolor,​ ACL 2012| 
-^ Dec 15 |Ahmad Aghaebrahimian |Yoav Goldberg, Michael Elhadad: [[http://​aclweb.org/​anthology/​P/​P08/​P08-2060.pdf|splitSVM:​ Fast, Space Efficient, non-Heuristic,​ Polynomial Kernel Computation for NLP Applications]] ACL 2008| 
-^ Jan 5  | Michal Auersperger | last RG | 

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