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courses:rg [2007/04/03 15:19]
pecina
courses:rg [2015/10/01 15:58]
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 === 
- +date   **speaker**  **paper** 
-=== Winter 2005/2006 === +Oct  5              startup meeting 
- +Oct 12 Martin Popel Mark Johnson[[http://cs.brown.edu/courses/cs195-5/fall2009/docs/lecture_10-27.pdf|A brief introduction to kernel classifiers]], 2009. You can also read [[http://ciml.info/dl/v0_9/ciml-v0_9-ch09.pdf|a chapter from ciml.info]][[courses:rg:2014:kernels|Questions]] 
-19/10 Kiril Ribarov    Non-projective Dependency Parsing using Spanning Tree Algorithms +Oct 19              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. | 
-26/10 Petr Podveský    K. Crammer and Y. Singer. 2003. Ultraconservative on-line algorithms for multiclass problems. JMLR. +Oct 26              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]] 
-2/11  Jiří Havelka     Leonidas GeorgiadisArborescence optimization problems solvable by Edmonds’ algorithm+Nov  2              John Lafferty, Andrew McCallum, Fernando 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]] 
-^ 9/11  | Barbora Hladká   | | +Nov  —            | no RG, dean's day 
-^ 16/11 Pavel Pecina     | Bob MoorDiscriminative Framework for Bilingual Word Alignment, EMNLP, Vancouver, 2005 | +Nov 16              |  | 
-^ 23/11 | Ota Smrž         | Context-Based Morphological Disambiguation with Random Fields Noah ASmith, David ASmith, Roy WTromble || +Nov 23              |  | 
-30/11 Václav Novák     Jason Eisner and Damianos KarakosBootstrapping Without the Boot HLT/EMNLP, Vancouver, 2005 | +Nov 30               
-^ 7/12  | Pavel Schlesinger| Max-Margin Parsing,  BTaskar, DKlein, MCollins, DKoller and C. Manning. Empirical Methods in Natural Language Processing (EMNLP04)Barcelona, Spain, July 2004. | +Dec  7               
-14/12 Daniel Zeman     D. ZemanZ. Zabokrstky: Improving Parsing Accuracy by Combining Diverse Dependecy ParsersIWPT, Vancouver, 2005 | +Dec 14              |  |
-^ 4/1   | Ondřej Bojar     | Franz Och (2005)Tutorial at MT summit | +
-^ 11/1  | Jiří Semecký     | Marine Carpuat and Dekai Wu: Word 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 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 NLPUsing 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 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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