Inferring Psycholinguistic Properties of Words
We introduce a bootstrapping algorithm for regression that exploits word embedding models. We use it to infer four psycholinguistic properties of words: Familiarity, Age of Acquisition, Concreteness and Imagery and further populate the MRC Psycholinguistic Database with these properties. The approach achieves 0.88 correlation with humanproduced values and the inferred psycholinguistic features lead to state of the art results when used in a Lexical Simplification task.
NAACL