מושגי ליבה
Adapting domain-specific knowledge into the model enhances few-shot table-to-text generation by bridging the gap between tabular data and text.
סטטיסטיקה
"Our model achieves superior performance in terms of both fluency and accuracy as judged by human and automatic evaluations."
"Compared to previous state-of-the-art approaches, our method achieves remarkable improvement in fluency and faithfulness of the generated contents."
ציטוטים
"The core insight of AKG is to adapt unlabeled domain-specific knowledge into the model."
"Our contributions can be summarized as proposing a novel framework for few-shot table-to-text generation."