OASum: Large-Scale Open Domain Aspect-based Summarization

Understand

Aspect or query-based summarization has recently caught more attention, as it can generate differentiated summaries based on users' interests.

• However, the current dataset for aspect or query-based summarization either focuses on specific domains, contains relatively small-scale instances, or includes only a few aspect types.
• Such limitations hinder further explorations in this direction.
• In this work, we take advantage of crowd-sourcing knowledge on Wikipedia.org and automatically create a high-quality, large-scale open-domain aspect-based summarization dataset named OASum, which contains more than 3.7 million instances with around 1 million different aspects on 2 million Wikipedia pages.