A Survey on Dialogue Systems: Recent Advances and New Frontiers

Abstract

Dialogue systems have attracted more and more attention. Recent advances on dialogue systems are overwhelmingly contributed by deep learning techniques, which have been employed to enhance a wide range of big data applications such as computer vision, natural language processing, and recommender systems. For dialogue systems, deep learning can leverage a massive amount of data to learn meaningful feature representations and response generation strategies, while requiring a minimum amount of hand-crafting. In this article, we give an overview to these recent advances on dialogue systems from various perspectives and discuss some possible research directions. In particular, we generally divide existing dialogue systems into task-oriented and non-task-oriented models, then detail how deep learning techniques help them with representative algorithms and finally discuss some appealing research directions that can bring the dialogue system research into a new frontier.

13 pages. arXiv admin note: text overlap with arXiv:1703.01008 by other authors

References in corpus (16)

• Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks
• Semi-Supervised Learning with Deep Generative Models
• Convolutional Neural Network Architectures for Matching Natural Language Sentences
• A Simple, Fast Diverse Decoding Algorithm for Neural Generation
• A Deep Reinforcement Learning Chatbot
• End-to-end LSTM-based dialog control optimized with supervised and reinforcement learning
• Two are Better than One: An Ensemble of Retrieval- and Generation-Based Dialog Systems
• Learning through Dialogue Interactions by Asking Questions
• Learning End-to-End Goal-Oriented Dialog
• Sequence-to-Sequence Generation for Spoken Dialogue via Deep Syntax Trees and Strings
• A Context-aware Natural Language Generator for Dialogue Systems
• Assigning personality/identity to a chatting machine for coherent conversation generation
• Syntax-based Deep Matching of Short Texts
• An Attentional Neural Conversation Model with Improved Specificity
• Personalizing a Dialogue System with Transfer Reinforcement Learning
• Domain Aware Neural Dialog System

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