  The writing process consists of several stages such as drafting, revising,
editing, and proofreading. Studies on writing assistance, such as grammatical
error correction (GEC), have mainly focused on sentence editing and
proofreading, where surface-level issues such as typographical, spelling, or
grammatical errors should be corrected. We broaden this focus to include the
earlier revising stage, where sentences require adjustment to the information
included or major rewriting and propose Sentence-level Revision (SentRev) as a
new writing assistance task. Well-performing systems in this task can help
inexperienced authors by producing fluent, complete sentences given their
rough, incomplete drafts. We build a new freely available crowdsourced
evaluation dataset consisting of incomplete sentences authored by non-native
writers paired with their final versions extracted from published academic
papers for developing and evaluating SentRev models. We also establish baseline
performance on SentRev using our newly built evaluation dataset.
