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courses:rg [2007/04/03 15:18]
pecina
courses:rg [2015/11/04 10:59]
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) === 
- +date   **speaker**               **paper** 
-==== Winter 2005/2006 ==== +Oct  5              startup meeting |  
- +Oct 12 Lukáš, Milan 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]] 
-19/10 Kiril Ribarov    Non-projective Dependency Parsing using Spanning Tree Algorithms +Oct 19 Martin       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]] 
-26/10 Petr Podveský    K. Crammer and Y. Singer. 2003. Ultraconservative on-line algorithms for multiclass problems. JMLR. +Oct 26 Lukáš, Milan hands-on tutorial on using some neural network toolkit 
-2/11  Jiří Havelka     Leonidas GeorgiadisArborescence optimization problems solvable by Edmonds’ algorithm+Nov  Adéla        Michael Collins[[http://ucrel.lancs.ac.uk/acl/W/W02/W02-1001.pdf|Discriminative Training Methods for Hidden Markov ModelsTheory and Experiments with Perceptron Algorithms]]EMNLP 2002[[courses:rg:2014:perceptron|Questions]] 
-^ 9/11  Barbora Hladká   | | +Nov  9 —            no RG, dean's day 
-^ 16/11 Pavel Pecina     | Bob MoorDiscriminative Framework for Bilingual Word Alignment, EMNLP, Vancouver, 2005 | +Nov 16              contfrom last RG 
-^ 23/11 | Ota Smrž         | Context-Based Morphological Disambiguation with Random Fields Noah ASmith, David ASmith, Roy WTromble || +Nov 23 MilanLukáš NN hackaton 
-30/11 Václav Novák     Jason Eisner and Damianos KarakosBootstrapping Without the Boot HLT/EMNLP, Vancouver, 2005 | +Nov 30 Aneta        Andrew McCallumDayne FreitagFernando 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]] 
-^ 7/12  | Pavel Schlesinger| Max-Margin Parsing,  BTaskar, DKlein, MCollinsDKoller and CManning. Empirical Methods in Natural Language Processing (EMNLP04), Barcelona, Spain, July 2004. | +Dec  7              hackaton 
-^ 14/12 | Daniel Zeman     | DZeman, ZZabokrstkyImproving Parsing Accuracy by Combining Diverse Dependecy Parsers, IWPT, Vancouver, 2005 +Dec 14              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]] |
-4/1   Ondřej Bojar     Franz Och (2005): Tutorial at MT summit +
-11/1  Jiří Semecký     Marine Carpuat and Dekai WuWord Sense Disambiguation vsStatistical 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. USAMichigan, Ann Arbor. || +
-8.3. Zdeněk Žabokrtský | Sylvain Kahan: The Meaning-Text Theory || +
-15.3. Pavel Schlesinger Noah ASmith 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 ClusteringACL, Ann 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"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. ScholkopfA.J. Smola A Short Introduction to Learning Method with Kernels.  cont'|+
  

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