Papers with direct scalar regression modeling approach

1 papers
Uncertain Natural Language Inference (2020.acl-main)

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Challenge: Existing categorical bin assignments for NLI are not effective for entailment inference.
Approach: They propose a refinement of Natural Language Inference that targets direct prediction of subjective probability assessments.
Outcome: The proposed model can be used in pre-training and correlates well with humans.

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