cooelf / FocalReasoner

Fact-driven Logical Reasoning for Machine Reading Comprehension (AAAI 2024)

FocalReasoner

This is the code for our paper "Fact-driven Logical Reasoning for Machine Reading Comprehension".

Environment

• python=3.6
• pytorch=1.6.0
• dgl=0.6.1
• transformers=4.3.2

How to run?

Directly run the following code:

bash scripts/run_roberta_large.sh

The accuracies on the dev set are stored in the folder "Checkpoints", with test results stored in "test_pred.npy"

Can change the dataset directory in the scripts to run different tasks. For example, to run logiQA, set

RECLOR_DIR=logiQA_data
TASK_NAME=logiqa