seq2seq_chatbot_links
1.0.0
不同框架的神经会话模型实现的链接。欢迎贡献。
西亚诺,烤宽面条
能够在文本对话中表达情感的对话系统。请参阅在线演示。
中性情绪的示例结果:
hi → hey you
how are you ? → i ' m fine , what about you ?
how old are you ? → i ' m 16 , how old are you ?
are you a leader or a follower ? → i ' m a man who is a politician .
my name is david . what is my name ? → i love your name .
is the sky blue or black ? → the sky is blue
you love anime . → i ' m not a weeb
张量流
不错的结果:
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...
修改机器翻译模型的代码。此代码中没有实现回答随机化,因此模型每次都以相同的短语方式回答:
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 .
火炬
Jiwei Li 撰写的一系列超级好文章的源代码 - 这是我在神经会话系统领域最喜欢的研究之一。值得一看。
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 .
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!
喀拉斯
GitHub 上最流行的 Seq2seq 架构实现。然而,仍然没有证据表明此存储库取得了良好的结果。
用于运行实验的 farizrahman4u/seq2seq 的包装器。到目前为止还没有取得好的结果。
需要检查一下。
一种新的生成聊天机器人,其训练在几个时期内收敛,包括在从在线英语课程对话中收集的小型但一致的数据集上进行预训练的模型。
user: Hello! How are you?
computer: i am fine , ok , well , thank you . (with probability of 0.540239)
user: What's your name?
computer: janet . (with probability of 0.319482)
user: What do you like to do now?
computer: let me think a minute . (with probability of 0.286760)
user: I want to chat about computer science.
computer: i am glad to hear there . (with probability of 0.293063)
user: Are you a real girl or a computer program?
computer: i am self employed . i would love to be well . (with probability of 0.026870)
user: Why don't you look for a job?
computer: i do not know . i am the bank . (with probability of 0.053494)
user: So, you don't need a job!
computer: no . i have to make a lot of money . (with probability of 0.001279)
对现有会话数据集的精彩概述。
获取大量原始电影字幕 (~1.2Gb)
清除技术数据后约 40Mb。
请参阅 Richard Krisztian Csaky 的这篇精彩评论:聊天机器人和相关研究论文笔记及图像
以及他的 pdf 报告论文:基于深度学习的聊天机器人模型