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