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Document-level Event Argument Extraction (EAE) requires the model to extract arguments of multiple events from a single document.
Simple BERT Models for Relation Extraction and Semantic Role Labeling
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Retrieval-augmented generative question answering for event argument extraction
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Dynamic global memory for document-level argument extraction
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Multilingual generative language models for zero-shot cross-lingual event argument extraction
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DocEE: A large-scale and fine-grained benchmark for document-level event extraction
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Modeling textual cohesion for event extraction
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Document-level event argument extraction by conditional generation
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Capturing event argument interaction via a bi-directional entity-level recurrent decoder
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A two-stream AMR-enhanced model for document-level event argument extraction
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Can explanations be useful for calibrating black box models?
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A close look into the calibration of pre-trained language models
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An AMR-based link prediction approach for document-level event argument extraction
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