Papers with QGA-EE

1 papers
Event Extraction as Question Generation and Answering (2023.acl-short)

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Challenge: Recent work on Event Extraction addresses the error propagation issue found in token-based classification approaches.
Approach: They propose a Question Generation (QG) model that generates questions that leverage contextual information instead of fixed templates.
Outcome: The proposed model outperforms all previous single-task-based models on the ACE05 English dataset.

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