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Setup Instructions

  • Install conda or if installed run conda update -n base -c defaults conda
  • Run conda create -n VPE python=3.6 (Pattern (used for verb conjugation) and the BLLIP Parser don’t support later versions of python).
  • Run conda activate VPE
  • Run conda install nltk pip
  • Run conda install -c stanfordnlp stanza
  • Follow the instructions for installing the Stanford CoreNLP suite as instructed here https://github.com/stanfordnlp/stanza#accessing-java-stanford-corenlp-software
  • This might be unecessary but run python -m pip install --upgrade pip
  • Run pip install bllipparser pattern
  • Run python -mbllipparser.ModelFetcher -l to see the list of available models for the BLLIP Parser.
  • Run python -mbllipparser.ModelFetcher -i <Model Name> to install a particular model (currently the code uses WSJ+Gigaword).
  • You will have to alter rule-out.py and trees-latex.py to reflect the path where you have installed the model. In the case of my Linux machine the path is /home/<username>/.local/share/bllipparser/
  • For Windows, building bllipparser is trickier, a list of builds for Windows are available here https://github.com/BLLIP/bllip-parser#other-versions-of-the-parser.