discourse-parsing | Fast Rhetorical Structure Theory Discourse Parser

This code requires python 3. I currently use 3.3.5. This repository is pip-installable. To make it work properly, I recommend running pip install -e . to set it up. This will make a local, editable copy in your python environment. See requirements.txt for a list of the prerequisite packages. In addition, you may have to install a few NLTK models using nltk.download() in python (specifically, punkt and, at least for now, the maxent POS tagger). Additionally, the syntactic parsing code must be set up to use ZPar. The simplest but least efficient way is to put the ZPar distribution (version 0.6) in a subdirectory zpar (or symbolic link) in the current working directory, along with the English models in a subdirectory zpar/english. For efficiency, a better method is to use the python-zpar wrapper, which is currently available at https://github.com/EducationalTestingService/python-zpar or https://pypi.python.org/pypi/python-zpar/. To set this up, run make and then either a) set an environment variable ZPAR_LIBRARY_DIR equal to the directory where zpar.so is created (e.g., /Users/USER1/python-zpar/dist) to run ZPar as part of the discourse parser, or b) start a separate server using python-zpar’s zpar_server. Finally, CRF++ (version 0.58) should be installed, and its bin directory should be added to your PATH environment variable. See http://taku910.github.io/crfpp/.