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

• Python 3.6.3
• Pytorch 1.3

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

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

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/)

• https://github.com/NoSyu/VHUCM

• Do future work that describes in the paper