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courses:rg:past [2014/02/17 10:36]
popel archived Autumn&Winter 2013/2014 		courses:rg:past [2016/03/08 16:15]
popel
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 (For the current semester see [[courses::rg|the main RG page]]) (For the current semester see [[courses::rg|the main RG page]])
 +
 +=== Autumn&Winter 2015/2016 ===
 +^ date   | **speaker**               | **paper** |
 +^ 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]] |
 +^ Oct 19 | Martin       | 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]] |
 +^ Oct 26 | Lukáš, Milan | hands-on tutorial on using some neural network toolkit |
 +^ 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]] |
 +^ Nov  9 | —            | no RG, dean's day |
 +^ Nov 16 |              | cont. from last RG |
 +^ Nov 23 | Milan, Lukáš | NN hackaton |
 +^ Nov 30 | Aneta        | 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]] [[courses:rg:2014:memm|Questions]]|
 +^ Dec  7 | Adéla        | Charles J. Fillmore: [[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.494.5064&rep=rep1&type=pdf|Border Conflicts: FrameNet Meets Construction Grammar]], 2008  |
 +^ Dec 14 | Aneta        | Tomas Mikolov, Kai Chen, Greg Corrado, Jeffrey Dean: [[http://arxiv.org/pdf/1301.3781.pdf|Efficient Estimation of Word Representations in Vector Space]], ICLR 2013 |
 +
 +=== Autumn&Winter 2014/2015 ===
 +^ date   | **speaker**  | **paper** |
 +^ Oct  6 |              | startup meeting |
 +^ Oct 13 | Jindřich Libovický | Peter F. Brown et all.: [[http://www.aclweb.org/anthology/J92-4003|Class-Based n-gram Models of Natural Language]], Computational Linguistics, 1992. See also [[http://statmt.blogspot.cz/2014/07/understanding-mkcls.html| notes about the mkcls implementation]] |
 +^ Oct 20 | Tomáš Kraut | 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]]|
 +^ Oct 27  | Roman Sudarikov | 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]] [[courses:rg:2014:memm|Question]]|
 +^ Nov 3 | Dušan Variš | 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]] |
 +^ Nov 10 | Duc Tam Hoang | Joseph Turian, Lev Ratinov, Yoshua Bengio: [[http://anthology.aclweb.org//P/P10/P10-1040.pdf|Word representations: A simple and general method for semi-supervised learning]], ACL 2010. [[courses:rg:2014:wr|Questions]]|
 +^ <del>Nov 17</del> | --- | no RG (Struggle for Freedom and Democracy Day) |
 +^ Nov 24 | Vendula Michlíková | Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu: [[http://aclweb.org/anthology-new/P/P02/P02-1040.pdf|BLEU: a Method for Automatic Evaluation of Machine Translation]], ACL 2002. [[courses:rg:2014:bleu|Questions]] |
 +^ Dec 1  | Richard Ejem | Marco Pennacchiotti, Patrick Pantel: [[http://www.aclweb.org/anthology/D09-1025|Entity Extraction via Ensemble Semantics]], ACL 2009. [[courses:rg:2014:entity|Questions]] |
 +^ Dec 8  | Nguyen Tien Dat| Elia Bruni,... and Marco Baroni: [[http://www.aclweb.org/anthology/W11-2503.pdf|Distributional semantics from text and images]], EMNLP 2011 : [[http://www.aclweb.org/anthology/P12-1015.pdf|Distributional Semantics in Technicolor]], ACL 2012 [[courses:rg:2014:mDSM|Questions]]|
 +^ Dec 15 |Ahmad Aghaebrahimian |Qingqing Cai, Alexander Yates: [[http://knight.cis.temple.edu/~yates/papers/open-sem-parsing.pdf|Semantic Parsing Freebase: Towards Open-domain Semantic Parsing]] SEM,2013 [[courses:rg:2014:start|Questions]]|
 +^ Jan 5  | Michal Auersperger | 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]] |
 +
 +=== Spring&Summer 2014 ===
 +^ date   | **speaker** | **paper** |
 +^ Feb 24 |             | startup meeting, John Langford: [[http://hunch.net/?p=224|All Models of Learning have Flaws]], 2007 |
 +^ Mar  3 | Vincent     | RExtractor – A Framework for Extracting Relations from Texts, 2014 |
 +^ Mar 10 | Rudolf      | MLFix |
 +^ Mar 17 | Petra       | paraphrases |
 +^ Mar 23 | Martin      | [[http://ufal.mff.cuni.cz/~popel/treex/sheet.pdf|Treex]]  |
 +^ Mar 31 | Ivana       | Sun, Grishman, Sekine: [[http://aclweb.org/anthology/P/P11/P11-1053.pdf|Semi-supervised Relation Extraction with Large-scale Word Clustering]], ACL 2011 |
 +^ Apr  7 | Loganathan  | McDonald, Petrov, Hall: [[http://www.aclweb.org/anthology/D11-1006.pdf|Multi-source Transfer of Delexicalized Dependency Parsers]], EMNLP 2011 |
 +^ Apr 14 | Vincent     | Keith Hall: [[http://aclweb.org/anthology-new/P/P07/P07-1050.pdf|k-best Spanning Tree Parsing]], ACL 2007 |
 +^ <del>Apr 21</del> | no RG       | Easter |
 +^ Apr 28 | Rudolf      | Goldberg, Elhadad: [[http://www.aclweb.org/anthology/N10-1115.pdf|An Efficient Algorithm for Easy-First Non-Directional Dependency Parsing]], NAACL 2010 |
 +^ May  5 | Petra  | Goldberg, Orwant: [[http://www.aclweb.org/anthology/S13-1035.pdf|A Dataset of Syntactic-Ngrams over Time from a Very Large Corpus of English Books]], 2013 |
 +^ May 12 | Ivana  | short paper for LAW VIII |
 +^ May 19 | Ruda, Petra | dry-run presentations for LREC |
 +
 === Autumn&Winter 2013/2014 === === Autumn&Winter 2013/2014 ===
 ^ date   | **speaker**  | **paper** | ^ date   | **speaker**  | **paper** |
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 ^ Mar 11 | Ondřej Košarko   | Aron Culotta, Jeffrey Sorensen: [[http://www.newdesign.aclweb.org/anthology-new/P/P04/P04-1054.pdf|Dependency Tree Kernels for Relation Extraction]], ACL 2004. [[courses:rg:2013:dep-tree-kernels|Questions]] | ^ Mar 11 | Ondřej Košarko   | Aron Culotta, Jeffrey Sorensen: [[http://www.newdesign.aclweb.org/anthology-new/P/P04/P04-1054.pdf|Dependency Tree Kernels for Relation Extraction]], ACL 2004. [[courses:rg:2013:dep-tree-kernels|Questions]] |
 ^ Mar 18 |Jindřich Helcl  | 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:2013:hmm-perc-experiments|Questions]] | ^ Mar 18 |Jindřich Helcl  | 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:2013:hmm-perc-experiments|Questions]] |
-^ Mar 25 | Sara van de Moosdijk | 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]] [[courses:rg:2013:memm|Questions & Answers]] |+^ Mar 25 | Sara van de Moosdijk | 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]] [[courses:rg:2013:memm|Questions]] |
 ^ Apr 1  |--- | no RG, Easter (and April Fool's Day) | ^ Apr 1  |--- | no RG, Easter (and April Fool's Day) |
 ^ Apr 8  | Vincent Kríž | John Lafferty, Andrew McCallum, Fernando Pereira: [[http://www.cis.upenn.edu/~pereira/papers/crf.pdf|Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data]], 2001 [[courses:rg:2013:crf|Questions]] | ^ Apr 8  | Vincent Kríž | John Lafferty, Andrew McCallum, Fernando Pereira: [[http://www.cis.upenn.edu/~pereira/papers/crf.pdf|Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data]], 2001 [[courses:rg:2013:crf|Questions]] |

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