s2tagger

Project information

s2tagger is a tool for predicting tag sequences, implemented by a recurrent neural network.

Created on

July 11, 2019

Copy SSH clone URLgit@git.informatik.uni-hamburg.de:beschke/s2tagger.git
Copy HTTPS clone URLhttps://git.informatik.uni-hamburg.de/beschke/s2tagger.git

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