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courses:rg:past [2014/02/17 10:36] popel archived Autumn&Winter 2013/2014 |
courses:rg:past [2014/10/12 15:06] 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]]) |
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| === 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 | |
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=== Autumn&Winter 2013/2014 === | === Autumn&Winter 2013/2014 === |
^ date | **speaker** | **paper** | | ^ date | **speaker** | **paper** | |
^ 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]] | |