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We describe the task of sentence expansion and enhancement, in which asentence provided by a human is expanded in some creative way. The expansionshould be understandable, believably grammatical, and optimallymeaning-preserving. Sentence expansion and enhancement may serve as anauthoring tool, or integrate in dynamic media, conversational agents, orvariegated advertising.  We implement a neural sentence expander trained on sentence compressionsgenerated from a corpus of modern fiction. We modify an MLE objective tosupport the task by focusing on new words, and decode at test time withcontrolled curve-like novelty sampling. We run our sentence expander onsentences provided by human subjects and have humans evaluate these expansions.We show that, although the generation methods are inferior to professionalhuman writers, they are comparable to, and as well liked as, our subjects'original input sentences, and preferred over baselines.

Fiction Sentence Expansion and Enhancement via Focused Objective and Novelty Curve Sampling