BaptisteBlouin/EventExtractionPapers

Organizes event extraction research across methodological paradigms—from pattern matching and machine learning to deep learning and unsupervised approaches—with curated paper summaries spanning decades of work. Includes dedicated sections for event coreference, linguistic foundations, benchmark datasets, and practical tools, enabling researchers to navigate the landscape from classical rule-based systems to modern neural architectures. Serves as a comprehensive research map covering both foundational concepts and state-of-the-art developments in the event extraction domain.

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