This tutorial surveys neural approaches to conversational AI that were developed in the last
few years. We group conversational systems into three categories:(1) question answering …

Dialogue systems are a popular natural language processing (NLP) task as it is promising in
real-life applications. It is also a complicated task since many NLP tasks deserving study are …

Deep learning methods employ multiple processing layers to learn hierarchical
representations of data, and have produced state-of-the-art results in many domains …

We present persona-based models for handling the issue of speaker consistency in neural
response generation. A speaker model encodes personas in distributed embeddings that …

We present a novel response generation system that can be trained end to end on large
quantities of unstructured Twitter conversations. A neural network architecture is used to …

We study response selection for multi-turn conversation in retrieval-based chatbots. Existing
work either concatenates utterances in context or matches a response with a highly abstract …

Statistical dialog systems (SDSs) are motivated by the need for a data-driven framework that
reduces the cost of laboriously handcrafting complex dialog managers and that provides …