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Process-ILP

ILP over semantic role classifier scores for collective role inference.

How to run?

$ python ilp_joint.py to run ILP optimization.
$ python evaluate.py to run evaluation module and get statistics.

Input/Output
  • Cross-validation folds from Role Classifier is stored in data/cross-val directory. The input files are accessed from here.
  • After ILP runs optimization over sentences of a process, output jsons are stored in the same input directory with the file name test.srlpredict.json.
  • ILP assignments and objective functions generated for each process is saved in outputs directory.
Evaluation output

All evaluation outputs are stored in plots directory.

Config/Utils
  • Use utils/ilp_config.py to configure the system. Please go through this file and set appropriate fields before running ILP/Evaluation.
  • Most of the data processing happens in utils/ilp_utils.py
  • Other utilities needed for entailment, memoization, word2vec scores, etc are in utils directory.

Code

Run pip install -r requirements.txt within ILP directory after cloning to install all the python dependencies.
The following modules are required to run the system:

  • gurobipy
  • NumPy
  • Pandas
  • pathos
  • cPickle
  • gensim
  • retrying
  • scikit-learn
  • nltk
  • Matplotlib
  • Seaborn
  • tqdm
  • Requests

and textual entailment service by AI2 (Allen Institute for Artificial Intelligence).