generative

more proper, never appeared
Neural Responding Machine for Short-Text Conversation
A Neural Conversational Model

dialogue context

How to make context more useful? an em-pirical study on context-aware neural conversationalmodels

response diversity

PaperWeekly 第十八期 — 提高seq2seq方法所生成对话的流畅度和多样性

objective function

A Diversity-Promoting Objective Function for Neural Conversation Models
An atten-tional neural conversation model with improved specificity

beam search

Batra. Diversebeam search: Decoding diverse solutions from neural sequence models
Generating long and diverse responseswith neural conversation models
A simple, fast di-verse decoding algorithm for neural generation

rerank

Adiversity-promoting objective function for neural con-versation models
A neural network approach to context-sensitive generation of conversational response

latent variable

latent variable is designed to make high-level decisions like topic or sentiment

topics and personalities

TODO

outside knowledge base

TODO

interactive learning

TODO

evaluation

another deep learning model
TODO

retrieval

informative, fluent
an information retrieval approach to short text conversation

single-turn Response Matching

multi-turn Response Matching

hybrid

A se-quence to sequence and rerank based chatbot engine
an ensemble of retrieval-and generation-based dialog systems