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ForoughA / CORGI

Conversational Neuro-Symbolic Commonsense Reasoning
https://arxiv.org/abs/2006.10022
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CORGI

This is the code for the Conversational Neuro-Symbolic Commonsense Reasoning.

Dependencies

  1. PyTorch
  2. Spacy
  3. higgingface en_coref_lg model: https://github.com/huggingface/neuralcoref-models/releases/download/en_coref_lg-3.0.0/en_coref_lg-3.0.0.tar.gz
  4. python2
  5. numpy
  6. py
  7. rpython

Navigation

  1. logging/ folder to store user interaction logs under <USER_NAME> exaplained below.
  2. testnet/ contains the code for our neuro-symbolic theorem prover built on top of spyrolog
  3. data/ contains our proposed commonsense reasoning benchmark. Look at data/REAME.md for a data description.
  4. net.py, attention.py, config.py, modeltest.py are files relevant to the inference for our neuro-symbolic theorem prover
  5. TypeDict.json modified dictionary of types built on top of Aristo tuple KB v1.03 Mar 2017 Release
  6. prolog_info-reasoning-17.pkl, model_testing-reasoning-17.tch pretrained models for the neuro-symbolic theorem prover
  7. facts7.txt, functor_arity7.txt knowledge base of commonsense facts
  8. user-study-data.txt statements used in the user study

Running the code:

in order to run the code use prompt:

python2 reasoning.py --user <USER_NAME> --engine /testnet

additional arguments are: