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courses:rg [2016/09/26 22:17] ufal |
courses:rg [2016/10/06 08:54] popel |
=== Autumn&Winter 2016/2017 === | === Autumn&Winter 2016/2017 === |
^ date | **speaker** | **paper** | | ^ date | **speaker** | **paper** | |
^ Oct 4 | | startup meeting | | ^ Oct 4 | | startup meeting | |
^ Oct 11 | | 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]] | | ^ Oct 11 | Martin Popel | Kevin Knight, Beáta Megyesi and Christiane Schaefer: [[http://www.isi.edu/natural-language/people/copiale-11.pdf|The Copiale Cipher]], BUCC 2011, you can watch a [[https://www.youtube.com/watch?v=Eam0Tk-1FyI|trailer]] | |
| ^ Oct 18 | Daniela Bodanská | 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]] | |
^ Oct 25 | | 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 25 | | 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 1 | | 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 1 | | 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 15 | | 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]] | | |
^ <del>Nov 8</del> | --- | no RG (Dean's day)| | ^ <del>Nov 8</del> | --- | no RG (Dean's day)| |
| ^ Nov 15 | | 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 22 | | 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 | | ^ Nov 22 | | 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 | |
^ Nov 29 | | | | ^ Nov 29 | | | |
^ Dec 6 | | | | ^ Dec 6 | | | |
^ Dec 13 | | | | ^ Dec 13 | | | |