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Speaker Sensitive Response Evaluation Model

Overview

This repo provides the implementation of Speaker Sensitive Response Evaluation Model (SSREM).

Tested Environment

  • Python 3.6.3
  • Pytorch 1.3

How to run

In src folder, we make bash script file to train and evaluate SSREM. All arguments for the bash files are passed into argparse in configs.py.

  • Run_train.sh: a bash script file to train SSREM

bash Run_train.sh 0 TC SSREM 5000 2000 1e-4

  • Run_eval1.sh: a bash script file to identify the true and false responses

bash Run_eval1.sh 0 TC SSREM 5000 ../results/TC/SSREM/20191209_235959/2000.pkl 4

Data

We use Twitter conversation corpus: https://www.aclweb.org/anthology/D19-1202/ Please contact to the authors of the paper to get the corpus.

Discussion

Please let us know if you have any questions or requests by issues or email. (First author of the paper page: https://nosyu.github.io/)

Reference

Plan

  • Do future work that describes in the paper