Controllable Text Generation (CTG) is an emerging area in the field of natural language
generation (NLG). It is regarded as crucial for the development of advanced text generation …

The goal of text-to-text generation is to make machines express like a human in many
applications such as conversation, summarization, and translation. It is one of the most …

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 …

Topic modelling has been a successful technique for text analysis for almost twenty years.
When topic modelling met deep neural networks, there emerged a new and increasingly …

Deep learning methods possess many processing layers to understand the stratified
representation of data and have achieved state-of-art results in several domains. Recently …

Generative artificial intelligence (GAI) has emerged as a rapidly burgeoning field
demonstrating significant potential in creating diverse content intelligently and automatically …

Current pre-training works in natural language generation pay little attention to the problem
of exposure bias on downstream tasks. To address this issue, we propose an enhanced …

Highlights•Biochemical data can be represented with text-based languages codified by
humans.•Natural language processing (NLP) can be applied to textual biochemical …

Text-based interactive recommendation provides richer user preferences and has
demonstrated advantages over traditional interactive recommender systems. However …

Variational Autoencoders (VAE) and their variants have been widely used in a variety of
applications, such as dialog generation, image generation and disentangled representation …