Search Results for author: Yan Cong

Found 4 papers, 1 papers with code

Pre-trained Language Models’ Interpretation of Evaluativity Implicature: Evidence from Gradable Adjectives Usage in Context

no code implementations NAACL (unimplicit) 2022 Yan Cong

By saying Maria is tall, a human speaker typically implies that Maria is evaluatively tall from the speaker’s perspective.

Psycholinguistic Diagnosis of Language Models’ Commonsense Reasoning

1 code implementation CSRR (ACL) 2022 Yan Cong

This paper adopted psycholinguistic datasets to probe language models’ commonsense reasoning.

Implicatures

Pragmatic competence of pre-trained language models through the lens of discourse connectives

no code implementations CoNLL (EMNLP) 2021 Lalchand Pandia, Yan Cong, Allyson Ettinger

We focus on testing models' ability to use pragmatic cues to predict discourse connectives, models' ability to understand implicatures relating to connectives, and the extent to which models show humanlike preferences regarding temporal dynamics of connectives.

Implicatures

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