ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation https://arxiv.org/abs/1907.05339
Requirement:
nltk>=3.2.4
numpy>=1.13.0
regex>=2017.6.7
tensorflow>=1.2.0
1、parameter setting: hyperparams.py
2、To generate vocab: python prepro.py
3、To train: python train.py
4、To eval: python eval.py
5、The dialogue data：Hello How are you? Good, you? I'm fine, what's new?
Souce looks like:
Hello How are you? </d>
Hello How are you? </d> Good, you? </d>
Hello How are you? </d> Good, you? </d> I'm fine, what's new?</d>
Target:
Good, you?</d>
I'm fine, what's new?</d>
Nothing much...</d>