Neural approaches to conversational AI

J Gao, M Galley, L Li - The 41st international ACM SIGIR conference on …, 2018 - dl.acm.org
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 …

Survey of the state of the art in natural language generation: Core tasks, applications and evaluation

A Gatt, E Krahmer - Journal of Artificial Intelligence Research, 2018 - jair.org
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 …

The E2E dataset: New challenges for end-to-end generation

J Novikova, O Dušek, V Rieser - ar**
Z Yan, N Duan, P Chen, M Zhou, J Zhou… - Proceedings of the AAAI …, 2017 - ojs.aaai.org
We present a general solution towards building task-oriented dialogue systems for online
shop**, aiming to assist online customers in completing various purchase-related tasks …

Stochastic language generation in dialogue using recurrent neural networks with convolutional sentence reranking

TH Wen, M Gasic, D Kim, N Mrksic, PH Su… - arxiv preprint arxiv …, 2015 - arxiv.org
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 …