AI-Powered Text Generation for Harmonious Human-Machine Interaction: Current State and Future Directions

Abstract

In the last two decades, the landscape of text generation has undergone tremendous changes and is being reshaped by the success of deep learning. New technologies for text generation ranging from template-based methods to neural network-based methods emerged. Meanwhile, the research objectives have also changed from generating smooth and coherent sentences to infusing personalized traits to enrich the diversification of newly generated content. With the rapid development of text generation solutions, one comprehensive survey is urgent to summarize the achievements and track the state of the arts. In this survey paper, we present the general systematical framework, illustrate the widely utilized models and summarize the classic applications of text generation.

Accepted by IEEE UIC 2019

References in corpus (24)

• A Neural Conversational Model
• A Deep Reinforced Model for Abstractive Summarization
• Deep Reinforcement Learning for Dialogue Generation
• Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond
• Explain Images with Multimodal Recurrent Neural Networks
• Learning to Generate Reviews and Discovering Sentiment
• Topic Aware Neural Response Generation
• Adversarial Learning for Neural Dialogue Generation
• GANS for Sequences of Discrete Elements with the Gumbel-softmax Distribution
• Personalizing Dialogue Agents: I have a dog, do you have pets too?
• A Persona-Based Neural Conversation Model
• A Network-based End-to-End Trainable Task-oriented Dialogue System
• Neural Summarization by Extracting Sentences and Words
• AttSum: Joint Learning of Focusing and Summarization with Neural Attention
• Joint Deep Modeling of Users and Items Using Reviews for Recommendation
• A Neural Network Approach to Context-Sensitive Generation of Conversational Responses
• Learning End-to-End Goal-Oriented Dialog
• Context-aware Natural Language Generation with Recurrent Neural Networks
• Multi-Task Learning for Speaker-Role Adaptation in Neural Conversation Models
• Personalization in Goal-Oriented Dialog
• Generative Concatenative Nets Jointly Learn to Write and Classify Reviews
• Domain Aware Neural Dialog System
• Learning Personalized End-to-End Goal-Oriented Dialog
• Improving Context Aware Language Models