Papers by Shun Tsugita

1 papers
On Degrees of Freedom in Defining and Testing Natural Language Understanding (2023.findings-acl)

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Challenge: Large-scale pretrained language models are performing increasingly well at various tasks and offering real-world applications.
Approach: They propose to define NLU as an inductive evidence that the test subject understands the language sufficiently well to meet stakeholder objectives.
Outcome: The proposed framework can be used to design credible tests and facilitate scientific communication.

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