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 …

This paper surveys the current state of the art in Natural Language Generation (NLG),
defined as the task of generating text or speech from non-linguistic input. A survey of NLG is …

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 …

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 …

This paper presents the Frames dataset (Frames is available at http://datasets. maluuba.
com/Frames), a corpus of 1369 human-human dialogues with an average of 15 turns per …

We have long envisioned that one day computers will understand natural language and
anticipate what we need, when and where we need it, and proactively complete tasks on our …

We present a general solution towards building task-oriented dialogue systems for online
shopping, aiming to assist online customers in completing various purchase-related tasks …

The natural language generation (NLG) component of a spoken dialogue system (SDS)
usually needs a substantial amount of handcrafting or a well-labeled dataset to be trained …