Parsing/stanfordnlp

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(Created page with "= Background = = Installation on Abel = <pre> module purge; module load python3/3.70 /projects/nlpl/operation/python/initialize --version 0.1.1 stanfordnlpl </pre> Next, ...")
 
(Background)
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= Background =
 
= Background =
  
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The [https://stanfordnlp.github.io/stanfordnlp/ StanfordNLP] pipeline
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makes available two multilingual parsing systems with a Python interface,
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one implemented natively on top of PyTorch, the other a server–client
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interface to the venerable Stanford
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[https://stanfordnlp.github.io/CoreNLP/ CoreNLP] software (which runs
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in Java).
  
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<pre>
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module purge; module load nlpl-stanfordnlp
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python3 -c 'import stanfordnlp; foo = stanfordnlp.Pipeline("en")("Kim wanted to be heard."); foo.sentences[0].print_dependencies();'
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</pre>
  
 
= Installation on Abel =
 
= Installation on Abel =

Revision as of 23:41, 10 February 2019

Background

The StanfordNLP pipeline makes available two multilingual parsing systems with a Python interface, one implemented natively on top of PyTorch, the other a server–client interface to the venerable Stanford CoreNLP software (which runs in Java).

module purge; module load nlpl-stanfordnlp
python3 -c 'import stanfordnlp; foo = stanfordnlp.Pipeline("en")("Kim wanted to be heard."); foo.sentences[0].print_dependencies();'

Installation on Abel

module purge; module load python3/3.70
/projects/nlpl/operation/python/initialize --version 0.1.1 stanfordnlpl

Next, it appears we need to manually patch the default location for model files in .../site-packages/stanfordnlp/utils/resources.py, to point to a shared directory for all users (viz. /projects/nlpl/software/stanfordnlp/0.1.1/resources/). To download all available pre-trained models (for the complete UD 2.x set of treebanks):

module purge; module load nlpl-stanfordnlp
yes | python3 /projects/nlpl/software/stanfordnlp/0.1.1/download.py
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