Difference between revisions of "ACL Data and Code Repository"

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The '''ACL Data and Code Repository''' is a repository of data (e.g., hand-labeled text, hand-parsed text, feature vectors for machine learning, etc.) and source code (e.g., taggers, parsers, chunkers, etc.) for computational linguistics and natural language processing. The goal of the repository is to make it easier for researchers to replicate each other's work and to compare different approaches using the same benchmarks.  
 
The '''ACL Data and Code Repository''' is a repository of data (e.g., hand-labeled text, hand-parsed text, feature vectors for machine learning, etc.) and source code (e.g., taggers, parsers, chunkers, etc.) for computational linguistics and natural language processing. The goal of the repository is to make it easier for researchers to replicate each other's work and to compare different approaches using the same benchmarks.  
  
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If you are contributing source code, you should consider [http://sourceforge.net/ SourceForge] or another code hosting service, instead of the ''ACL Data and Code Repository''. These services have features, such as version control and bug tracking, that are not available here. The ''ACL Data and Code Repository'' is more suitable for static, archival, historical source code, rather than dynamic, evolving source code.
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The ''ACL Data and Code Repository'' is experimental. Upload file size is currently limited to '''8 MB'''. If you encounter problems, let [[User_talk:Pdturney|us]] know.
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The ''ACL Data and Code Repository'' is experimental. There is a limit to the size of an upload. If you pass the limit or encounter other problems, let [[User_talk:Pdturney|us]] know.
 
  
 
== Downloading ==
 
== Downloading ==
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[[Category:Data and code repository]]
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[[Category:Data and code repository| ]]

Latest revision as of 06:03, 19 August 2012

The ACL Data and Code Repository is a repository of data (e.g., hand-labeled text, hand-parsed text, feature vectors for machine learning, etc.) and source code (e.g., taggers, parsers, chunkers, etc.) for computational linguistics and natural language processing. The goal of the repository is to make it easier for researchers to replicate each other's work and to compare different approaches using the same benchmarks.

The ACL Data and Code Repository is experimental. Upload file size is currently limited to 8 MB. If you encounter problems, let us know.

Downloading

Uploading

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