Papers with out-of-domain events data

1 papers
Don’t Let Discourse Confine Your Model: Sequence Perturbations for Improved Event Language Models (2021.acl-short)

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Challenge: Existing approaches to train event language models on text constrain them to follow discourse order of events.
Approach: They propose a method to perturb event sequences so that they can relax model dependence on text order.
Outcome: The proposed technique improves performance on applications and out-of-domain events data.

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