Know a resource that isn't listed below? Feel free to create a new pull request, or open an issue.Seq2seq/chatbot/聊天机器人相关资源收集列表。
在原来的chatbot-links的基础上，添加了一些更多的中文资源而组建的一个List，主要用于个人收集。感兴趣，一起建设完善的资源列表，方便萌新入门，请发送PR或Issue添加更多资源，各层面不限，欢迎添加自己的作品。
Framework tensorflow
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...
Framework: Tensorflow
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 .
Framework: Tensorflow
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。
Framework: Torch 6.x Source code for a bunch of super nice articles by Jiwei Li - one of my favorite researches in the domain of neural conversational systems. Worth checking out.
tell me ... how long have you had this falling sickness ? → a few months, I guess .
so i had the doctors test sammy ’s response to conditioning . → so he took the pills .
what are you going to do ? → i ’m going to get you a new car .
they fear your power your intellect . → i ’m not afraid of your power .
Framework: Torch 7
最早的对《A Neural Conversational Model》的实现之一，当时给的Demo效果非常有意思。
Hello? → Hi.
How are you? → I'm fine.
What's your name? → It's hard to describe.
How so? → I'm not sure.
What color is the sky? → It's blue.
What is your job? → It's not that i'm a fucking werewolf!
Framework: Torch 7
从neuralconvo修改而来的，当时应该是第一个中文的RNN based chatbot DEMO。
Framework: Tensorflow 一个中文的Demo，说明比较详细，推荐。
result:
你到哪里去 →你不是说你不是我的
你喜欢我吗？ →我喜欢你
你吃了吗？ →我还没吃饭呢
你喜欢喝酒吗？ →我不知道
你说话没有逻辑啊 →没有
Framework: python
看上去比较完整的一个项目，安装简单，说明比较完善，有提供训练的材料，英文为主。
Good morning! How are you doing? →I am doing very well, thank you for asking.
You're welcome. →Do you like hats?
Framework: keras
这几个都是seq2seq的实现，但是在Chatbot上面还没有好的demo result。
A new generative chatbot whose training converges in few epochs, including a model pre-trained on a small but consistent dataset collected from dialogues of English courses online.
这个采用了生成模型的方式，待补充。
user: Hello! How are you?
computer: i am fine , ok , well , thank you .
user: What's your name?
computer: janet .
user: What do you like to do now?
computer: let me think a minute .
user: I want to chat about computer science.
computer: i am glad to hear there .
user: Are you a real girl or a computer program?
computer: i am self employed . i would love to be well .
user: Why don't you look for a job?
computer: i do not know . i am the bank .
user: So, you don't need a job!
computer: no . i have to make a lot of money .
一个多领域多轮会话的开发框架
- 剑桥的开源DS PyDial
- 一个开源的DS deepmipt/DeepPavlov
- 一个商业但开源的DS Rasa Core
- 比较简单的机器人ChatterBot
- 一个开源的QA系统，里面那个论文列表不错 castorini/BuboQA
- AIML的公司 pandorabots
Get a lot of raw movie subtitles (~1.2Gb)
~ 40Mb after clearing out the technical data.
[中文]语料。大部分为由字幕生成的材料，少量其它对话(如以前的小黄鸡的材料，我从一位网友朋友那里要过来了，感谢他)。 其中results/xiaohuangji50w_fenciA.conv.zip为上面chatbot-zh-torch7的演示的训练材料。
现已关闭的射手网有一个所有字幕的合集包，感兴趣的同学需要自行网上搜索下载。
这是他人收集的自然语言处理相关数据集，主要包含Question Answering，Dialogue Systems， Goal-Oriented Dialogue Systems三部分，都是英文文本。可以使用机器翻译为中文，供中文对话使用。
dgk_lost_conv中字幕生成的材料的问题是质量较差，这是因为字幕文件中包含了很多的旁白，或者单人连续说话的情况，而这些在处理的时候都没有剔除掉。希望有同学能够找到方法。 或者 从微博、QQ群、微信群等地方挖掘更多的1v1的对话材料。
- https://github.com/warmheartli/ChatBotCourse 中文的一个聊天机器人教程
QQ群：
