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A survey of controllable text generation using transformer-based pre-trained language models
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 …
generation (NLG). It is regarded as crucial for the development of advanced text generation …
Cross-modal text and visual generation: A systematic review. Part 1: Image to text
We review the existing literature on generating text from visual data under the cross-modal
generation umbrella, which affords us to compare and contrast various approaches taking …
generation umbrella, which affords us to compare and contrast various approaches taking …
Neural natural language generation: A survey on multilinguality, multimodality, controllability and learning
Develo** artificial learning systems that can understand and generate natural language
has been one of the long-standing goals of artificial intelligence. Recent decades have …
has been one of the long-standing goals of artificial intelligence. Recent decades have …
Emotional video captioning with vision-based emotion interpretation network
Effectively summarizing and re-expressing video content by natural languages in a more
human-like fashion is one of the key topics in the field of multimedia content understanding …
human-like fashion is one of the key topics in the field of multimedia content understanding …
Memcap: Memorizing style knowledge for image captioning
Generating stylized captions for images is a challenging task since it requires not only
describing the content of the image accurately but also expressing the desired linguistic …
describing the content of the image accurately but also expressing the desired linguistic …
Hooks in the headline: Learning to generate headlines with controlled styles
Current summarization systems only produce plain, factual headlines, but do not meet the
practical needs of creating memorable titles to increase exposure. We propose a new task …
practical needs of creating memorable titles to increase exposure. We propose a new task …
Evolution of visual data captioning Methods, Datasets, and evaluation Metrics: A comprehensive survey
Abstract Automatic Visual Captioning (AVC) generates syntactically and semantically correct
sentences by describing important objects, attributes, and their relationships with each other …
sentences by describing important objects, attributes, and their relationships with each other …
Semi-supervised text style transfer: Cross projection in latent space
Text style transfer task requires the model to transfer a sentence of one style to another style
while retaining its original content meaning, which is a challenging problem that has long …
while retaining its original content meaning, which is a challenging problem that has long …
Similar scenes arouse similar emotions: Parallel data augmentation for stylized image captioning
Stylized image captioning systems aim to generate a caption not only semantically related to
a given image but also consistent with a given style description. One of the biggest …
a given image but also consistent with a given style description. One of the biggest …
Sketch storytelling
Sketch storytelling aims to generate a story for a given sketch. Although image captioning
based on deep learning has great progress, describing the sketch in a story style is still a …
based on deep learning has great progress, describing the sketch in a story style is still a …