Unsupervised event chain mining from multiple documents

Y Jiao, M Zhong, J Shen, Y Zhang, C Zhang… - Proceedings of the ACM …, 2023 - dl.acm.org
Massive and fast-evolving news articles keep emerging on the web. To effectively
summarize and provide concise insights into real-world events, we propose a new event …

Unsupervised Episode Detection for Large-Scale News Events

P Kargupta, Y Zhang, Y Jiao, S Ouyang… - arXiv preprint arXiv …, 2024 - arxiv.org
Episodic structures are inherently interpretable and adaptable to evolving large-scale key
events. However, state-of-the-art automatic event detection methods overlook event …

POQue: Asking participant-specific outcome questions for a deeper understanding of complex events

S Vallurupalli, S Ghosh, K Erk… - arXiv preprint arXiv …, 2022 - arxiv.org
Knowledge about outcomes is critical for complex event understanding but is hard to
acquire. We show that by pre-identifying a participant in a complex event, crowd workers are …

[PDF][PDF] Generative Approaches to Event Extraction: Survey and Outlook

É Simon, H Olsen, H You, S Touileb… - Proceedings of the …, 2024 - aclanthology.org
This paper aims to map out the current landscape of generative approaches to the task of
event extraction. In surveying the emerging literature on the topic, we identify the distinctive …