Structure-Infused Copy Mechanisms for Abstractive Summarization

Understand

Seq2seq learning has produced promising results on summarization.

• However, in many cases, system summaries still struggle to keep the meaning of the original intact.
• They may miss out important words or relations that play critical roles in the syntactic structure of source sentences.
• In this paper, we present structure-infused copy mechanisms to facilitate copying important words and relations from the source sentence to summary sentence.