[ Skip to the content ]

Institute of Formal and Applied Linguistics Wiki


[ Back to the navigation ]

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revision Previous revision
Next revision
Previous revision
courses:rg [2007/04/03 15:28]
pecina
courses:rg [2022/02/08 00:40] (current)
rosa +phd rg
Line 1: Line 1:
 ~~NOTOC~~ ~~NOTOC~~
  
-===== Reading Group =====+===== Reading Group for Master students =====   
 +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.
  
-^ Contact   | pecina at ufal.mff.cuni.cz +Since 2016, the wiki is moved to https://github.com/ufal/NPFL095/wiki and the mailing list to [[https://groups.google.com/forum/#!forum/npfl095|npfl095@googlegroups.com]]. 
-^ Meetings  Wednesdays 9:30            |+See also [[courses:rg:past|an overview of past meetings]], [[courses:rg:wishlist|an outdated wishlist]] and [[https://github.com/ufal/rg/wiki|Machine Learning RG (active in 2014)]].
  
 +===== Reading Group for PhD students =====
  
-=== Winter 2005/2006 === +See the [[https://ufal.mff.cuni.cz/courses/rg/|website of PhD reading group]] (related also to a previous reading group called Deep Learning Seminar originally led by Milan Straka).
- +
-^ 19/10 | Kiril Ribarov    | **Non-projective Dependency Parsing using Spanning Tree Algorithms** | +
-^ 26/10 | Petr Podveský    | K. Crammer and Y. Singer**Ultraconservative on-line algorithms for multiclass problems**, JMLR, 2003 | +
-^ 2/11  | Jiří Havelka     | L. Georgiadis: **Arborescence optimization problems solvable by Edmonds’ algorithm**. | +
-^ 9/11  | Barbora Hladká   | | +
-^ 16/11 | Pavel Pecina     | BMoore: **Discriminative Framework for Bilingual Word Alignment**, EMNLP, Vancouver, 2005 | +
-^ 23/11 | Ota Smrž         | Noah ASmith, David ASmith, Roy W. Tromble: **Context-Based Morphological Disambiguation with Random Fields** || +
-^ 30/11 | Václav Novák     | J. Eisner and D. Karakos: **Bootstrapping Without the Boot**, HLT/EMNLP, Vancouver, 2005 | +
-^ 7/12  Pavel Schlesinger| B. Taskar, D. Klein, M. Collins, D. Koller and C. Manning: **Max-Margin Parsing**, EMNLP, Barcelona, 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: **Tutorial**, MT Summit, 2005. | +
-^ 11/1  | Jiří Semecký     | M. 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 |+
  

[ Back to the navigation ] [ Back to the content ]