Difference between revisions of "State of the art"

From ACL Wiki
Jump to navigation Jump to search
m (new item)
m (merged paragraphs)
Line 1: Line 1:
The purpose of this section of the ACL wiki is to be a repository
+
The purpose of this section of the ACL wiki is to be a repository of ''k''-best state-of-the-art results (i.e., methods and software) for various core natural language processing tasks.  
of k-best state-of-the-art results (i.e. methods and software) for various core natural language processing tasks.  
 
  
As a side effect, this should hopefully evolve into a knowledge base of standard evaluation methods and datasets for various tasks, as well as encourage more effort into reproducibility of results.
+
As a side effect, this should hopefully evolve into a knowledge base of standard evaluation methods and datasets for various tasks, as well as encourage more effort into reproducibility of results. This will help newcomers to a field appreciate what has been done so far and what the main tasks are, and will help keep active researchers informed on fields other than their specific research. The next time you need a system for PP attachment, or wonder what is the current state of word sense disambiguation, this will be the place to visit.  
  
This will help newcomers to a field appreciate what has been done so far and what the main tasks are, and will help keep active researchers informed on fields other than their specific research. The next time you'd need a system for PP attachment, or wonder what is the current state of word sense disambiguation, this will be the place to visit.
+
Please contribute! (This is also a good place for you to display your results!)
 
 
Please contribute!  
 
 
 
(This is also a good place for you to display your results!)
 
  
 
<!-- Please keep this list in alphabetical order -->
 
<!-- Please keep this list in alphabetical order -->

Revision as of 15:19, 18 June 2007

The purpose of this section of the ACL wiki is to be a repository of k-best state-of-the-art results (i.e., methods and software) for various core natural language processing tasks.

As a side effect, this should hopefully evolve into a knowledge base of standard evaluation methods and datasets for various tasks, as well as encourage more effort into reproducibility of results. This will help newcomers to a field appreciate what has been done so far and what the main tasks are, and will help keep active researchers informed on fields other than their specific research. The next time you need a system for PP attachment, or wonder what is the current state of word sense disambiguation, this will be the place to visit.

Please contribute! (This is also a good place for you to display your results!)