MAQInstruct reformulates event relation extraction as relation-specific multiple-answer QA with a bipartite matching loss, reducing inference samples from n^2 to k*n and improving F1 across three LLMs on four datasets.
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MAQInstruct: Instruction-based Unified Event Relation Extraction
MAQInstruct reformulates event relation extraction as relation-specific multiple-answer QA with a bipartite matching loss, reducing inference samples from n^2 to k*n and improving F1 across three LLMs on four datasets.