[HTML][HTML] Chatbots: History, technology, and applications

E Adamopoulou, L Moussiades - Machine Learning with applications, 2020 - Elsevier
This literature review presents the History, Technology, and Applications of Natural Dialog
Systems or simply chatbots. It aims to organize critical information that is a necessary …

A survey of the usages of deep learning for natural language processing

DW Otter, JR Medina, JK Kalita - IEEE transactions on neural …, 2020 - ieeexplore.ieee.org
Over the last several years, the field of natural language processing has been propelled
forward by an explosion in the use of deep learning models. This article provides a brief …

[CITATION][C] An introduction to variational autoencoders

DP Kingma, M Welling - Foundations and Trends® in …, 2019 - nowpublishers.com
An Introduction to Variational Autoencoders Page 1 An Introduction to Variational Autoencoders
Page 2 Other titles in Foundations and Trends R in Machine Learning Computational Optimal …

[BOOK][B] Neural networks and deep learning

CC Aggarwal - 2018 - Springer
“Any AI smart enough to pass a Turing test is smart enough to know to fail it.”–*** Ian
McDonald Neural networks were developed to simulate the human nervous system for …

Dailydialog: A manually labelled multi-turn dialogue dataset

Y Li, H Su, X Shen, W Li, Z Cao, S Niu - arxiv preprint arxiv:1710.03957, 2017 - arxiv.org
We develop a high-quality multi-turn dialog dataset, DailyDialog, which is intriguing in
several aspects. The language is human-written and less noisy. The dialogues in the …

Graph neural networks for natural language processing: A survey

L Wu, Y Chen, K Shen, X Guo, H Gao… - … and Trends® in …, 2023 - nowpublishers.com
Deep learning has become the dominant approach in addressing various tasks in Natural
Language Processing (NLP). Although text inputs are typically represented as a sequence …

The design and implementation of xiaoice, an empathetic social chatbot

L Zhou, J Gao, D Li, HY Shum - Computational Linguistics, 2020 - direct.mit.edu
This article describes the development of Microsoft **aoIce, the most popular social chatbot
in the world. **aoIce is uniquely designed as an artifical intelligence companion with an …

How not to evaluate your dialogue system: An empirical study of unsupervised evaluation metrics for dialogue response generation

CW Liu, R Lowe, IV Serban, M Noseworthy… - arxiv preprint arxiv …, 2016 - arxiv.org
We investigate evaluation metrics for dialogue response generation systems where
supervised labels, such as task completion, are not available. Recent works in response …

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 …

Visual dialog

A Das, S Kottur, K Gupta, A Singh… - Proceedings of the …, 2017 - openaccess.thecvf.com
We introduce the task of Visual Dialog, which requires an AI agent to hold a meaningful
dialog with humans in natural, conversational language about visual content. Specifically …