ECO v1: Towards Event-Centric Opinion Mining
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Abstract (arXiv)
Events are considered as the fundamental building blocks of the world. Mining event-centric opinions can benefit decision making, people communication, and social good. Unfortunately, there is little literature addressing event-centric opinion mining, although which significantly diverges from the well-studied entity-centric opinion mining in connotation, structure, and expression. In this paper, we propose and formulate the task of event-centric opinion mining based on event-argument structure and expression categorizing theory. We also benchmark this task by constructing a pioneer corpus and designing a two-step benchmark framework. Experiment results show that event-centric opinion mining is feasible and challenging, and the proposed task, dataset, and baselines are beneficial for future studies.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 7 of its 56 references that are in the map. First posted on arXiv 23 Mar 2022.
Builds on
7 of 56 references.
References · 7
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Citing papers per year: 2023: 1.
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- 2023DLUE: Benchmarking Document Language Understandingcited by 0
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