Neural approaches to conversational AI
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 …
few years. We group conversational systems into three categories:(1) question answering …
Beyond dyadic interactions: Considering chatbots as community members
Chatbots have grown as a space for research and development in recent years due both to
the realization of their commercial potential and to advancements in language processing …
the realization of their commercial potential and to advancements in language processing …
Deep reinforcement learning for dialogue generation
Recent neural models of dialogue generation offer great promise for generating responses
for conversational agents, but tend to be shortsighted, predicting utterances one at a time …
for conversational agents, but tend to be shortsighted, predicting utterances one at a time …
A network-based end-to-end trainable task-oriented dialogue system
Teaching machines to accomplish tasks by conversing naturally with humans is challenging.
Currently, developing task-oriented dialogue systems requires creating multiple components …
Currently, developing task-oriented dialogue systems requires creating multiple components …
Building end-to-end dialogue systems using generative hierarchical neural network models
We investigate the task of building open domain, conversational dialogue systems based on
large dialogue corpora using generative models. Generative models produce system …
large dialogue corpora using generative models. Generative models produce system …
A survey of available corpora for building data-driven dialogue systems
During the past decade, several areas of speech and language understanding have
witnessed substantial breakthroughs from the use of data-driven models. In the area of …
witnessed substantial breakthroughs from the use of data-driven models. In the area of …
Towards end-to-end reinforcement learning of dialogue agents for information access
This paper proposes KB-InfoBot--a multi-turn dialogue agent which helps users search
Knowledge Bases (KBs) without composing complicated queries. Such goal-oriented …
Knowledge Bases (KBs) without composing complicated queries. Such goal-oriented …
Dialogue learning with human teaching and feedback in end-to-end trainable task-oriented dialogue systems
In this work, we present a hybrid learning method for training task-oriented dialogue systems
through online user interactions. Popular methods for learning task-oriented dialogues …
through online user interactions. Popular methods for learning task-oriented dialogues …
Latent intention dialogue models
Developing a dialogue agent that is capable of making autonomous decisions and
communicating by natural language is one of the long-term goals of machine learning …
communicating by natural language is one of the long-term goals of machine learning …
Continuously learning neural dialogue management
We describe a two-step approach for dialogue management in task-oriented spoken
dialogue systems. A unified neural network framework is proposed to enable the system to …
dialogue systems. A unified neural network framework is proposed to enable the system to …