Papers by Adele Goldberg

2 papers
Investigating representations of verb bias in neural language models (2020.emnlp-main)

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Challenge: Languages typically provide more than one grammatical construction to express certain types of messages.
Approach: They propose a large benchmark dataset containing 50K human judgments for 5K distinct sentence pairs in the English dative alternation.
Outcome: The proposed model outperforms recurrent architectures even under comparable parameter and training settings.
Causal interventions expose implicit situation models for commonsense language understanding (2023.findings-acl)

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Challenge: Classical psycholinguistic accounts have suggested that world knowledge enters into language understanding through structured schemas called situation models.
Approach: They apply causal intervention techniques to transformer models to analyze performance on the Winograd Schema Challenge .
Outcome: The proposed model performs well on the Winograd Schema Challenge .

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