Dialogue-Based-Anti-Fraud

Code and data for EMNLP-IJCNLP 2019 paper "Are You for Real? Detecting Identity Fraud via Dialogue Interactions".

Requirements

python 3.6
pytorch >= 0.4.1
matplotlib
numpy

Train models

If you just want to pre-train the dialogue models, use

cd src
./warm_up.sh

If you want to pre-train the dialogue models and use reinforcement learning, use

cd src
./rl.sh

Test models

cd src
./warm_up.sh

Notes

• Please read the annotation in the scripts.
• When testing, please load the correct trained models.
• When training HP-S (--model_setting hrl), please use bonus mechanism to stable training (just a trick). Otherwise, the rl training will collapse.
• Contact me if you have any questions.