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courses:rg [2007/04/03 15:18]
pecina
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:  
 +  * 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.
  
-^ Contact ​  ​| pecina at ufal.mff.cuni.cz | +  ​* active participation in the discussions,​ which is conditioned by reading the papers in advance and attending the meetings, 
-^ Meetings ​ | Wednesdays 9:30            |+  ​* 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). 
 +  * In case of more than three missed meetings or deadlines, additional work (e.g. reports or answers to tricky questions) will be required.
  
-===== Program =====+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 ​    | Tuesdays 15:40, 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 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 |  | |
  
  
-==== Winter 2005/2006 ==== 
  
-^ 19/10 | Kiril Ribarov ​   | Non-projective Dependency Parsing using Spanning Tree Algorithms | 
-^ 26/10 | Petr Podveský ​   | K. Crammer and Y. Singer. 2003. Ultraconservative on-line algorithms for multiclass problems. JMLR. | 
-^ 2/11  | Jiří Havelka ​    | Leonidas Georgiadis: Arborescence optimization problems solvable by Edmonds’ algorithm. | 
-^ 9/11  | Barbora Hladká ​  | | 
-^ 16/11 | Pavel Pecina ​    | Bob Moor: Discriminative Framework for Bilingual Word Alignment, EMNLP, Vancouver, 2005 | 
-^ 23/11 | Ota Smrž         | Context-Based Morphological Disambiguation with Random Fields Noah A. Smith, David A. Smith, Roy W. Tromble || 
-^ 30/11 | Václav Novák ​    | Jason Eisner and Damianos Karakos: Bootstrapping Without the Boot HLT/EMNLP, Vancouver, 2005 | 
-^ 7/12  | Pavel&​nbsp;​Schlesinger| Max-Margin Parsing, ​ B. Taskar, D. Klein, M. Collins, D. Koller and C. Manning. Empirical Methods in Natural Language Processing (EMNLP04), Barcelona, Spain, July 2004. | 
-^ 14/12 | Daniel Zeman     | D. Zeman, Z. Zabokrstky: Improving Parsing Accuracy by Combining Diverse Dependecy Parsers, IWPT, Vancouver, 2005 | 
-^ 4/1   | Ondřej Bojar     | Franz Och (2005): Tutorial at MT summit | 
-^ 11/1  | Jiří Semecký ​    | Marine Carpuat and Dekai Wu: Word Sense Disambiguation vs. Statistical Machine Translation. | 
- 
-==== Summer 2005/2006 ==== 
- 
-^ 1.3. | Ondřej Bojar | David Chiang (2005): A Hierarchical Phrase-Based Model for Statistical Machine Translation In proceedings of ACL'​05. USA, Michigan, Ann Arbor. || 
-^ 8.3. | Zdeněk Žabokrtský | Sylvain Kahan: The Meaning-Text Theory || 
-^ 15.3. | Pavel Schlesinger | Noah A. Smith and Jason Eisner (2005): Contrastive Estimation: Training Log-Linear Models on Unlabeled Data. In Proceedings of the Association for Computational Linguistics (ACL 2005), Ann Arbor, Michigan || 
-^ 22.3. |  Pavel Pecina | Deepak Ravichandran;​ Patrick Pantel; Eduard Hovy (2005) Randomized Algorithms and NLP: Using Locality Sensitive Hash Functions for High Speed Noun Clustering, ACL, Ann Arbor || 
-^ 29.3. |  All | diskuse nad budocnosti RG  || 
-^ 5.4. | Pavel Stranak | Keh-Jiann Chen, Chi-Ching Luo, Ming-Chung Chang, Feng-Yi Chen, Chao-Jan Chen, Chu-Ren Huang: Sinica Treebank: Design criteria, representational issues and implementation ||  
-^ 12.4. | Zdenek Zabokrtsky | Sgall, Petr (1995). "​Prague School Typology"​. In: Masayoshi Shibatani and Theodora Bynon (eds), Approaches to Language Typology. Clarendon Press, ​ Oxford United Kingdom. || 
-^ 19.4. | Bara Hladka | B. Scholkopf, A.J. Smola: ​ A Short Introduction to Learning Method with  Kernels. || 
-^ 26.4. | | || 
-^ 3.5. | Ota Smrz | || 
-^ 10.5. | Bara Hladka | B. Scholkopf, A.J. Smola: ​ A Short Introduction to Learning Method with Kernels. ​ | cont'd | 
  

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