ASPECTNEWS: Aspect-Oriented Summarization of News Documents
Ojas Ahuja, Jiacheng Xu, Akshay Gupta, Kevin Horecka, Greg Durrett
2022Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)30 citationsDOIOpen Access PDF
Abstract
Generic summaries try to cover an entire document and query-based summaries try to answer document-specific questions. But real users' needs often fall in between these extremes and correspond to aspects, high-level topics discussed among similar types of documents. In this paper, we collect a dataset of realistic aspect-oriented summaries, ASPECT-NEWS, which covers different subtopics about articles in news sub-domains. We annotate data across two domains of articles, earthquakes and fraud investigations, where each article is annotated with two distinct summaries focusing on different aspects for each domain.
Topics & Concepts
Automatic summarizationComputer scienceInformation retrievalOracleFocus (optics)Domain (mathematical analysis)Multi-document summarizationMatching (statistics)Construct (python library)Cover (algebra)Software engineeringMathematical analysisProgramming languagePhysicsStatisticsOpticsMechanical engineeringMathematicsEngineeringTopic ModelingNatural Language Processing TechniquesAdvanced Text Analysis Techniques