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Elise Darragh-Ford

1 accepted papers

2022

Signal in Noise: Exploring Meaning Encoded in Random Character Sequences with Character-Aware Language Models

ACL 2022long

Natural language processing models learn word representations based on the distributional hypothesis, which asserts that word context (e.g., co-occurrence) correlates with meaning. We propose that n-grams composed of random character sequences, or garble, provide a novel context for studying word me…