[ 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:reranking-by-multitask-learning [2010/10/18 17:36]
popel link to slides
courses:rg:reranking-by-multitask-learning [2010/10/18 17:39]
popel
Line 5: Line 5:
 ACL 5th Workshop on Statistical Machine Translation (WMT) 2010 ACL 5th Workshop on Statistical Machine Translation (WMT) 2010
  
-===== Before reading =====+===== Suggestions for the presenter =====
  
-  * <latex>L_p </latex> norm of a vector <latex>\vec{x}=(x_1, x_2,...,x_n)</latex> is defined as <latex>||\vec{x}||_p = (\sum_i |x_i|^p )^{1/p} </latex>, so e.g. <latex>L_1</latex> norm is simply a sum of absolute values. <latex>L_p</latex> norm is sometimes called also <latex>\fract{l}_p</latex> norm or just p-norm.+It would be great to have an illustrative but simple example of N-best list and also examples of features and examples of labels (to specify the terminology).
  
 ===== Comments ===== ===== Comments =====
 +
 +  * <latex>L_p </latex> norm of a vector <latex>\vec{x}=(x_1, x_2,...,x_n)</latex> is defined as <latex>||\vec{x}||_p = (\sum_i |x_i|^p )^{1/p} </latex>, so e.g. <latex>L_1</latex> norm is simply a sum of absolute values. <latex>L_p</latex> norm is sometimes called also <latex>\fract{l}_p</latex> norm or just p-norm.
  
 ===== Opinions on the paper ===== ===== Opinions on the paper =====
  
-It would be great to have an illustrative but simple example of N-best list and also examples of features and examples of labels (to specify the terminology).+

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