Papers with ERE datasets

2 papers
AMPERE: AMR-Aware Prefix for Generation-Based Event Argument Extraction Model (2023.acl-long)

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Challenge: Existing generation-based EAE models focus on problem re-formulation and prompt design without incorporating additional information that has been shown to be effective for classification-based models.
Approach: They propose to incorporate AMR into generation-based EAE models by generating AMR-aware prefixes for every layer of the generation model.
Outcome: The proposed model generates AMR-aware prefixes for every layer of the generation model and improves the generation.
TacoERE: Cluster-aware Compression for Event Relation Extraction (2024.lrec-main)

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Challenge: Existing work on event relation extraction focuses on modeling the entire document . existing methods cannot handle long-range dependencies and information redundancy .
Approach: They propose a compression-then-extraction paradigm for event relation extraction . they propose document clustering for modeling event dependencies and then a cluster summarization method .
Outcome: The proposed method simplifies and highlights important text content of clusters for mitigating redundancy and event distance.

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