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 have attracted more and more attention. Recent advances on dialogue
systems are overwhelmingly contributed by deep learning techniques, which have been …

In this paper, we survey the methods and concepts developed for the evaluation of dialogue
systems. Evaluation, in and of itself, is a crucial part during the development process. Often …

Natural language generation (NLG) is a critical component of spoken dialogue and it has a
significant impact both on usability and perceived quality. Most NLG systems in common use …

This paper describes the E2E data, a new dataset for training end-to-end, data-driven
natural language generation systems in the restaurant domain, which is ten times bigger …

This paper provides a comprehensive analysis of the first shared task on End-to-End Natural
Language Generation (NLG) and identifies avenues for future research based on the results …

Table-to-text generation aims to generate a description for a factual table which can be
viewed as a set of field-value records. To encode both the content and the structure of a …

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 …

Data-to-text generation can be conceptually divided into two parts: ordering and structuring
the information (planning), and generating fluent language describing the information …

We propose an end-to-end, domain-independent neural encoder-aligner-decoder model for
selective generation, ie, the joint task of content selection and surface realization. Our model …