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courses:rg [2007/04/03 15:12]
pecina
courses:rg [2015/10/15 10:26]
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     | Mondays 16:00, 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 2015/2016 (preliminary plan) === 
-===== 2005/2006 ===== +date   **speaker**               **paper** 
- +Oct  5                           startup meeting |  
-19.10. Kiril Ribarov | Non-projective Dependency Parsing using Spanning Tree Algorithms | | +Oct 12 Lukáš Žilka, Milan Straka Programming hackaton, based on [[http://web.stanford.edu/class/cs168/|The Modern Algorithmic Toolbox]], read in advance lecture [[http://web.stanford.edu/class/cs168/l/l1.pdf|1]] and [[http://web.stanford.edu/class/cs168/l/l2.pdf|2]] 
-26.10. Petr Podvesky | K. Crammer and Y. Singer. 2003. Ultraconservative on-line algorithms for multiclass problems. JMLR. | | +Oct 19 or Oct 20 Martin Popel Mark Johnson: [[http://cs.brown.edu/courses/cs195-5/fall2009/docs/lecture_10-27.pdf|A brief introduction to kernel classifiers]]2009You can also read [[http://ciml.info/dl/v0_9/ciml-v0_9-ch09.pdf|a chapter from ciml.info]][[courses:rg:2014:kernels|Questions]] 
-2.11. Jiri Havelka Leonidas GeorgiadisArborescence optimization problems solvable by Edmonds’ algorithm. |+Oct 26 Lukáš Žilka, Milan Straka hands-on tutorial on using some neural network toolkit 
-^ 9.11| Bara Hladka | ||  +Nov  2                           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. | 
-^ 16.11. | Pavel Pecina | Bob MoorDiscriminative Framework for Bilingual Word Alignment, EMNLP, Vancouver, 2005 || +Nov  9 —                         no RG, dean's day 
-^ 23.11| Ota Smrz | Context-Based Morphological Disambiguation with Random Fields Noah ASmith, David A. Smith, Roy W. Tromble || +Nov 16                           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]] 
-30.11. Vaclav Novak Jason Eisner and Damianos KarakosBootstrapping Without the Boot HLT/EMNLP, Vancouver, 2005 || +Nov 23                           John LaffertyAndrew McCallumFernando Pereira[[http://www.cs.utah.edu/~piyush/teaching/crf.pdf|Conditional Random FieldsProbabilistic Models for Segmenting and Labeling Sequence Data]]2001[[courses:rg:2014:crf|Questions]] 
-^ 7.12| Pavel Schlesinger | Max-Margin Parsing,  BTaskarDKlein, MCollins, D. Koller and C. Manning. Empirical Methods in Natural Language Processing (EMNLP04), Barcelona, Spain, July 2004. |+Nov 30              |  | 
-^ 14.12| Dan Zeman | D. Zeman, Z. ZabokrstkyImproving Parsing Accuracy by Combining Diverse Dependecy Parsers, IWPT, Vancouver, 2005 || +Dec  7               
-4.1. Ondřej Bojar | Franz Och (2005): Tutorial at MT summit ||  +Dec 14              |  |
-11.1. Jiří Semecký Marine Carpuat and Dekai WuWord Sense Disambiguation vsStatistical Machine Translation|| +
-^ 1.3. | Ondřej Bojar | David Chiang (2005): A Hierarchical Phrase-Based Model for Statistical Machine Translation In proceedings of ACL'05. USAMichigan, Ann Arbor|+
-8.3. Zdeněk Žabokrtský | Sylvain Kahan: The Meaning-Text Theory || +
-15.3. Pavel Schlesinger Noah A. Smith and Jason Eisner (2005)Contrastive EstimationTraining Log-Linear Models on Unlabeled DataIn 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 ClusteringACLAnn Arbor || +
-^ 29.3. |  All | diskuse nad budocnosti RG  |+
-5.4. Pavel Stranak Keh-Jiann ChenChi-Ching LuoMing-Chung Chang, Feng-Yi Chen, Chao-Jan Chen, Chu-Ren HuangSinica TreebankDesign criteria, representational issues and implementation ||  +
-^ 12.4| Zdenek Zabokrtsky | Sgall, Petr (1995)"Prague School Typology"InMasayoshi 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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