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• UDify Pretrained Model

  3 resources

  Pretrained model weights for the UDify model, and extracted BERT weights in pytorch-transformers format. Note that these weights slightly differ from those used in the paper.

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• Terminal-based CoNLL-file viewer, v2

  4 resources

  A simple way of browsing CoNLL format files in your terminal. Fast and text-based. To open a CoNLL file, simply run: ./view_conll sample.conll The output is piped through less, so you can use less commands to navigate the file; by default the less searches for sentence beginnings, so you can use "n" to go to next sentence and "N" to go to previous sentence. Close by "q". Trees with a high number of non-projective edges may be difficult to read, as I have not found a good way of displaying them intelligibly. If you are on Windows and don't have less (but have Python), run like this: python view_conll.py sample.conll For complete instructions, see the README file. You need Python 2 to run the viewer.

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