Jointgt: Graph-text joint representation learning for text generation from knowledge graphs
Existing pre-trained models for knowledge-graph-to-text (KG-to-text) generation simply fine-
tune text-to-text pre-trained models such as BART or T5 on KG-to-text datasets, which …
tune text-to-text pre-trained models such as BART or T5 on KG-to-text datasets, which …
A survey of ai-generated content (aigc)
Recently, Artificial Intelligence Generated Content (AIGC) has gained significant attention
from society, especially with the rise of Generative AI (GAI) techniques such as ChatGPT …
from society, especially with the rise of Generative AI (GAI) techniques such as ChatGPT …
Doc: Improving long story coherence with detailed outline control
We propose the Detailed Outline Control (DOC) framework for improving long-range plot
coherence when automatically generating several-thousand-word-long stories. DOC …
coherence when automatically generating several-thousand-word-long stories. DOC …
Plan-then-generate: Controlled data-to-text generation via planning
Recent developments in neural networks have led to the advance in data-to-text generation.
However, the lack of ability of neural models to control the structure of generated output can …
However, the lack of ability of neural models to control the structure of generated output can …