[ 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 Both sides next revision
courses:rg [2014/10/05 21:01]
popel
courses:rg [2014/10/06 17:09]
ufal
Line 25: Line 25:
 ^ Oct  6 |              | startup meeting | ^ 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 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 | | 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. | +^ 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.| 
-^ Oct 27 | | 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.| +Ovt 27  | | 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]] | 
-Nov 3  | | 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]] | +^ Nov | | 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. | 
-^ Nov 10 | | 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. |+^ Nov 10 | | 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. |
 ^ <del>Nov 17</del> | --- | no RG (Struggle for Freedom and Democracy Day) | ^ <del>Nov 17</del> | --- | no RG (Struggle for Freedom and Democracy Day) |
 ^ Nov 24 | | | ^ Nov 24 | | |

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