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We introduce a corpus of 7,032 sentences rated by human annotators forformality, informativeness, and implicature on a 1-7 scale. The corpus wasannotated using Amazon Mechanical Turk. Reliability in the obtained judgmentswas examined by comparing mean ratings across two MTurk experiments, andcorrelation with pilot annotations (on sentence formality) conducted in a morecontrolled setting. Despite the subjectivity and inherent difficulty of theannotation task, correlations between mean ratings were quite encouraging,especially on formality and informativeness. We further explored correlationbetween the three linguistic variables, genre-wise variation of ratings andcorrelations within genres, compatibility with automatic stylistic scoring, andsentential make-up of a document in terms of style. To date, our corpus is thelargest sentence-level annotated corpus released for formality,informativeness, and implicature.

SQUINKY! A Corpus of Sentence-level Formality, Informativeness, and Implicature