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courses:rg [2007/04/03 15:12]
pecina
courses:rg [2015/11/28 21:25]
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, 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]] 
-26.10. Petr Podvesky K. Crammer and Y. Singer. 2003. Ultraconservative on-line algorithms for multiclass problemsJMLR. | +Oct 19 Martin       Mark Johnson[[http://cs.brown.edu/courses/cs195-5/fall2009/docs/lecture_10-27.pdf|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]] 
-^ 2.11. | Jiri Havelka | Leonidas GeorgiadisArborescence optimization problems solvable by Edmonds’ algorithm|| +Oct 26 LukášMilan hands-on tutorial on using some neural network toolkit 
-^ 9.11. | Bara Hladka | ||  +Nov  2 Adéla        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]] 
-16.11. Pavel Pecina Bob MoorDiscriminative Framework for Bilingual Word Alignment, EMNLP, Vancouver, 2005 || +Nov  9 —            no RGdean's day 
-^ 23.11| Ota Smrz | Context-Based Morphological Disambiguation with Random Fields Noah ASmith, David A. SmithRoy WTromble || +Nov 16              cont. from last RG 
-30.11. Vaclav Novak | Jason Eisner and Damianos Karakos: Bootstrapping Without the Boot HLT/EMNLP, Vancouver2005 || +Nov 23 Milan, Lukáš NN hackaton 
-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. || +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]] [[courses:rg:2014:memm|Questions]]
-14.12. Dan Zeman D. ZemanZ. Zabokrstky: Improving Parsing Accuracy by Combining Diverse Dependecy Parsers, IWPT, Vancouver, 2005 |+Dec  7 Adéla        Charles JFillmore[[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.494.5064&rep=rep1&type=pdf|Border ConflictsFrameNet Meets Construction Grammar]], 2008  | 
-4.1. Ondřej Bojar | Franz Och (2005): Tutorial at MT summit ||  +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]] |
-11.1. Jiří Semecký | Marine Carpuat and Dekai Wu: Word Sense Disambiguation vs. Statistical Machine Translation. || +
-1.3. Ondřej Bojar David Chiang (2005): A Hierarchical Phrase-Based Model for Statistical Machine Translation In proceedings of ACL'05. USAMichiganAnn 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 ArborMichigan || +
-^ 22.3. |  Pavel Pecina | Deepak Ravichandran; Patrick Pantel; Eduard Hovy (2005) Randomized Algorithms and NLPUsing 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 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 TypologyClarendon Press,  Oxford United Kingdom|| +
-^ 19.4| Bara Hladka | BScholkopf, A.JSmola:  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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