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courses:rg:past [2014/09/26 12:41]
popel |
courses:rg:past [2016/09/26 22:04] (current)
ufal |
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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]]) |
| | |
| | === Spring&Summer 2016 === |
| | ^ date | **speaker** | **paper** | |
| | ^ Feb 22 | Martin Popel | W Ammar, G Mulcaire, M Ballesteros, C Dyer, NA Smith: [[http://arxiv.org/pdf/1602.01595.pdf|One Parser, Many Languages]] 2016 | |
| | ^ Feb 29 | | cont. | |
| | ^ Mar 7 | Jindřich Libovický | Marc'Aurelio Ranzato, Sumit Chopra, Michael Auli, Wojciech Zaremba: [[http://arxiv.org/abs/1511.06732|Sequence Level Training with Recurrent Neural Networks]], 2016 | |
| | ^ Mar 14 | Jindřich Libovický | cont. | |
| | ^ May 21 | Jindřich Helcl | Debanjan Ghosh, Weiwei Guo, Smaranda Muresan: [[http://www.aclweb.org/anthology/D15-1116|Sarcastic or Not: Word Embeddings to Predict the Literal or Sarcastic Meaning of Words]] EMNLP 2015 | |
| | ^ Mar 28 | no RG | Easter Monday | |
| | ^ Apr 4 | Milan Straka | Stack LSTM http://arxiv.org/abs/1505.08075 | |
| | ^ Apr 11 | Milan Straka | [[http://arxiv.org/abs/1603.06270|Multi-Task Cross-Lingual Sequence Tagging from Scratch]] and eventually also [[http://arxiv.org/abs/1603.01360|Network Architectures for NER]] | |
| | ^ Apr 18 | Rudolf Rosa | Rico Sennrich, Barry Haddow, Alexandra Birch: [[http://arxiv.org/pdf/1508.07909v3.pdf|Neural Machine Translation of Rare Words with Subword Units]], 2016| |
| | ^ Apr 25 | Tom Kocmi | Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao, Bill Dolan: [[https://arxiv.org/abs/1603.06155|A Persona-Based Neural Conversation Model]], 2016| |
| | ^ May 2 | Pasky | Petr Baudiš, Jan Šedivý: [[http://pasky.or.cz/sps.pdf|Sentence Pair Scoring: Towards Unified Framework for Text Comprehension]], 2016 | |
| | ^ May 9 | Martin Popel | Zhaopeng Tu, Zhengdong Lu, Yang Liu, Xiaohua Liu, Hang Li: [[https://arxiv.org/pdf/1601.04811v3.pdf|Modeling Coverage for Neural Machine Translation]], 2016 | |
| | ^ May 16 | Shadi Saleh | Guido Zuccon et al. [[http://dl.acm.org/citation.cfm?id=2838936|Integrating and evaluating neural word embeddings in information retrieval]], 2015 | |
| | ^ May 23 | special last RG | travelling to LREC | |
| | |
| | === 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 === | === Spring&Summer 2014 === |
| ^ 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]] | |
