Transforming Wikipedia into Augmented Data for Query-Focused Summarization. (arXiv:1911.03324v2 [cs.CL] UPDATED)

The limited size of existing query-focused summarization datasets renders
training data-driven summarization models challenging. Meanwhile, the manual
construction of a query-focused summarization corpus is costly and
time-consuming. In this paper, we use Wikipedia to automatically collect a
large query-focused summarization dataset (named WIKIREF) of more than 280, 000
examples, which can serve as a means of data augmentation. We also develop a
BERT-based query-focused summarization model (Q-BERT) to extract sentences from
the documents as summaries. To better adapt a huge …

arxiv augmented data data query summarization wikipedia