Open Domain Dialogue System based on seq2seq
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Updated
Jan 18, 2017 - Python
Open Domain Dialogue System based on seq2seq
Create game dialogue without having to worry about the JavaScript underneath
NNDial is an open source toolkit for building end-to-end trainable task-oriented dialogue models. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.
Movie dialog generation on the Cornell Movie-Dialogs Corpus
This Repo uses Vanilla RNN and tries to generate Dialogues from the Big Bang Theory
Chat Bot - Seq2seq with attention and diversity promoting objective function to avoid generic and boring responses. Done on Opensubtitles and Cornell Movie datasets
CVAE_CGate model in paper "Xu, Dusek, Konstas, Rieser. Better Conversations by Modeling, Filtering, and Optimizing for Coherence and Diversity"
Code for "MojiTalk: Generating Emotional Responses at Scale" https://arxiv.org/abs/1711.04090
A pytorch implementation for the MMI-anti model
Code for "Polite Dialogue Generation Without Parallel Data"
This repository contains a new generative model of chatbot based on seq2seq modeling.
An implementation of Chatbot using Adversarial Learning and Reinforcement Learning based on TensorFlow framework.
A list of recent papers regarding dialogue generation
Supplementary materials and code for Multi-Turn Beam Search
This repository contains reconstructed code for dialogue models.
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