Learning to Extract Coherent Summary via Deep Reinforcement Learning

Understand

Coherence plays a critical role in producing a high-quality summary from a document.

• In recent years, neural extractive summarization is becoming increasingly attractive.
• However, most of them ignore the coherence of summaries when extracting sentences.
• As an effort towards extracting coherent summaries, we propose a neural coherence model to capture the cross-sentence semantic and syntactic coherence patterns.