深度学习聊天机器人资源集合 Awesome chatbot resource listAt 2019-03-14 fate wrote in BLOG. 6498 viewer.
A toy chatbot powered by deep learning and trained on data from Reddit.
> Hi, how are you?
I'm not the only one here that's having fun with you, it's all me.
> Who else is with you?
Haha. I'm not the one who made the comment. I'm the one who said that and didn't think that much of anything.
> Oh, I see. So what's new?
Nothing. I just thought it was a bit of an overreaction. It's been a while since I've read it.
> It's all good
It's all good. It's one of those things that makes me smile :)
> That's great. This is actually my demo chat, so it's nice that you're keeping things positive!
Thank you :)
Framework: Tensorflow Demo result:
Hi → Hi. What is your name ? → Laura. What does that mean ? → I dunno. How old are you ? → thirty-five. Who is Laura ? → My brother. Say 'goodbye' → Alright. Two plus two → manny...
No answering randomisation is implemented in this code, so the models answers with the same phrase way each time: 未实现回答的是随机化，仅对模型的末尾加入了稀疏层。
hello baby → hello how old are you ? → twenty . i am lonely → i am not nice → you ' re not going to be okay . so rude → i ' m sorry . are you a robot or human? → no . are you better than siri? → yes .
Google Official seq2seq implementation, attention included. Originlly for translation, can be used as Q/A; Google官方的seq2seq实现，采用了注意力机制(Luong et al., 2015)，原本用于语言翻译，也适用于简单Q/A。