Papers by Rebecca Marvin

2 papers
Perceptual Models of Machine-Edited Text (2021.findings-acl)

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Challenge: a dataset of human judgments of machine-edited text is presented . we compare six different methods to create generic models of human perception .
Approach: They propose to use six machine-editing methods to model human perceptions of edited text . they use a dataset of human judgments of machine-edited text and scientific abstracts .
Outcome: The proposed model is based on human judgments of machine-edited text and scientific abstracts . human judgment of edited text is predicted to be within 6% of human consensus labeling .
Targeted Syntactic Evaluation of Language Models (D18-1)

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Challenge: Recent advances have led to an explosion of neural network-based LM architectures.
Approach: They propose to supplement perplexity with a metric that assesses whether a language model can predict the grammatical sentence more accurately than an ungrammatically-based model.
Outcome: The proposed model performed poorly on many of the constructions.

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