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 experimental. Upload file size is currently limited to 8 MB. If you encounter problems, let us know.

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