A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents

Code

• github.com/acohan/long-summarization
  OfficialIn papertf★ 0
• github.com/AlexGidiotis/DANCER-summ
  pytorch★ 18
• github.com/tongbao96/code-for-sfr-as
  pytorch★ 8

Abstract

Neural abstractive summarization models have led to promising results in summarizing relatively short documents. We propose the first model for abstractive summarization of single, longer-form documents (e.g., research papers). Our approach consists of a new hierarchical encoder that models the discourse structure of a document, and an attentive discourse-aware decoder to generate the summary. Empirical results on two large-scale datasets of scientific papers show that our model significantly outperforms state-of-the-art models.

Tasks

Benchmark Results

Reproductions