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A survey of natural language generation
This article offers a comprehensive review of the research on Natural Language Generation
(NLG) over the past two decades, especially in relation to data-to-text generation and text-to …
(NLG) over the past two decades, especially in relation to data-to-text generation and text-to …
Deep learning in the fast lane: A survey on advanced intrusion detection systems for intelligent vehicle networks
The rapid evolution of modern automobiles into intelligent and interconnected entities
presents new challenges in cybersecurity, particularly in Intrusion Detection Systems (IDS) …
presents new challenges in cybersecurity, particularly in Intrusion Detection Systems (IDS) …
Graph contrastive learning with adaptive augmentation
Recently, contrastive learning (CL) has emerged as a successful method for unsupervised
graph representation learning. Most graph CL methods first perform stochastic augmentation …
graph representation learning. Most graph CL methods first perform stochastic augmentation …
Adversarial attack and defense technologies in natural language processing: A survey
Recently, the adversarial attack and defense technology has made remarkable
achievements and has been widely applied in the computer vision field, promoting its rapid …
achievements and has been widely applied in the computer vision field, promoting its rapid …
Optimus: Organizing sentences via pre-trained modeling of a latent space
When trained effectively, the Variational Autoencoder (VAE) can be both a powerful
generative model and an effective representation learning framework for natural language …
generative model and an effective representation learning framework for natural language …
A review of text style transfer using deep learning
Style is an integral component of a sentence indicated by the choice of words a person
makes. Different people have different ways of expressing themselves; however, they adjust …
makes. Different people have different ways of expressing themselves; however, they adjust …
Plug-and-blend: a framework for plug-and-play controllable story generation with sketches
Large pre-trained neural language models (LM) have very powerful text generation
capabilities. However, in practice, they are hard to control for creative purposes. We …
capabilities. However, in practice, they are hard to control for creative purposes. We …
Composable text controls in latent space with ODEs
Real-world text applications often involve composing a wide range of text control operations,
such as editing the text wrt an attribute, manipulating keywords and structure, and …
such as editing the text wrt an attribute, manipulating keywords and structure, and …
Leashing the inner demons: Self-detoxification for language models
Abstract Language models (LMs) can reproduce (or amplify) toxic language seen during
training, which poses a risk to their practical application. In this paper, we conduct extensive …
training, which poses a risk to their practical application. In this paper, we conduct extensive …
Detect and perturb: Neutral rewriting of biased and sensitive text via gradient-based decoding
Written language carries explicit and implicit biases that can distract from meaningful
signals. For example, letters of reference may describe male and female candidates …
signals. For example, letters of reference may describe male and female candidates …