Papers with SQuALITY

2 papers
SQuALITY: Building a Long-Document Summarization Dataset the Hard Way (2022.emnlp-main)

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Challenge: Existing summarization datasets often have issues that seriously limit their usability.
Approach: They propose a faster but more straightforward approach to developing summarization benchmark data . they use a protocol that hires highly-qualified contractors to read stories and write original summaries from scratch .
Outcome: The proposed protocol is faster but more straightforward than scraping summaries from everyday text.
Socratic Pretraining: Question-Driven Pretraining for Controllable Summarization (2023.acl-long)

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Challenge: Existing methods to control document controllable summarization lack abundant labeled data.
Approach: They propose a question-driven, unsupervised pretraining objective to improve controllability in document controllable summarization tasks.
Outcome: The proposed method outperforms pre-finetuning approaches on QMSum and SQuALITY.

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