Salience Allocation as Guidance for Abstractive Summarization

Understand

Abstractive summarization models typically learn to capture the salient information from scratch implicitly.

• Recent literature adds extractive summaries as guidance for abstractive summarization models to provide hints of salient content and achieves better performance.
• However, extractive summaries as guidance could be over strict, leading to information loss or noisy signals.
• Furthermore, it cannot easily adapt to documents with various abstractiveness.