Abstractive Summarization

Papers

PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization

https://arxiv.org/pdf/1912.08777.pdf

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

https://arxiv.org/pdf/1910.13461.pdf

Dimsum @LaySumm 20: BART-based Approach for Scientific Document Summarization

https://arxiv.org/pdf/2010.09252.pdf

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

https://arxiv.org/pdf/1910.10683.pdf

Summaries

Further Readings

Papers with Code - Abstractive Text Summarization

Abstractive Text Summarization** is the task of generating a short and concise summary that captures the salient ideas of the source text. The generated summaries potentially contain new phrases and sentences that may not appear in the source text.

https://paperswithcode.com/task/abstractive-text-summarization

Abstractive Text Summarization with Deep Learning - Times Internet: Everything. Everyday.

News articles can be long and often take too much time to get to the point. Because of this, writers want to summarise a news article to uncover the objective faster. Human-generated summaries are often costly and time-consuming to produce. In an ecosystem such as Times Internet Limited, with a content creation rate of approximately ...

https://www.timesinternet.in/blog/abstractive-text-summarization-with-deep-learning/