arXiv Computation and Language August 25, 2026 By Siting Liang, Omar Adjali, Omair Shahzad Bhatti, Daniel Sonntag

A Scalable Cross-Domain Event Extraction System via a Unified Generative Training Framework

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The paper introduces a scalable cross‑domain event extraction system built on a unified generative sequence‑to‑sequence framework. It jointly handles event detection and argument extraction, allowing both pipeline and end‑to‑end configurations. By fine‑tuning pretrained language models on multiple event datasets from diverse domains, the system retains domain‑specific semantics while generalizing across large, evolving label spaces, and offers a web‑based application for researchers to upload documents, extract events, visualize triggers and arguments, and compare configurations.

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