Papers with unified event extraction

2 papers
Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extraction (2021.acl-long)

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Challenge: Existing methods to extract event records from text decompose complex structure prediction task into multiple subtasks.
Approach: They propose a sequence-to-structure generation paradigm that can extract events from text . they propose unified event extraction, constrained decoding algorithm and curriculum learning algorithm .
Outcome: The proposed method can achieve competitive performance using record-level annotations in both supervised learning and transfer learning settings.
SciEvent: Benchmarking Multi-domain Scientific Event Extraction (2025.emnlp-main)

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Challenge: Existing work on scientific information extraction relies on entity-relation extraction in narrow domains . current models struggle in domains such as sociology and humanities .
Approach: They propose a multi-domain benchmark for scientific abstract annotations using a unified event extraction schema.
Outcome: The proposed benchmark includes 500 abstracts across five research domains with manual annotations of event segments, triggers, and fine-grained arguments.

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