GitHub - cooelf/Logical-Reasoning-Graph: Modeling Hierarchical Reasoning Chains by Linking Discourse Units and Key Phrases for Reading Comprehension (COLING 2022)

This is the code for the paper "Modeling Hierarchical Logical Reasoning Chains".

Requirements

python==3.7.10 torch==1.7.0 transformers==2.3.0 numpy==1.20.1 gensim==4.0.1 nltk==3.6.2 spacy==2.3.5

Download the dataset and extract it, or to use it directly in the directory data_reclor &data_lg

sh run_reclor.sh sh run_logi.sh

Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
__pycache__		__pycache__
graph_building_blocks		graph_building_blocks
pdtb_toolkit		pdtb_toolkit
.DS_Store		.DS_Store
README.md		README.md
allennlp.py		allennlp.py
eval_attention.py		eval_attention.py
feature_adj_utils.py		feature_adj_utils.py
layers.py		layers.py
models.py		models.py
my_network_sw.py		my_network_sw.py
run_logi.sh		run_logi.sh
run_reclor.sh		run_reclor.sh
svo_extraction.py		svo_extraction.py
tokenization_dagn.py		tokenization_dagn.py
train.py		train.py