Diamonds in the Rough: Generating Fluent Sentences from Early-Stage Drafts for Academic Writing Assistance
Takumi Ito, Tatsuki Kuribayashi, Hayato Kobayashi, Ana Brassard,, Masato Hagiwara, Jun Suzuki, Kentaro Inui

TL;DR
This paper introduces Sentence-level Revision (SentRev), a new task for improving early-stage drafts into fluent sentences, supported by a new dataset and baseline models to aid inexperienced academic writers.
Contribution
The paper proposes SentRev as a novel writing assistance task, creates a new dataset of drafts and final sentences, and establishes baseline performance for this task.
Findings
Developed a new crowdsourced dataset for SentRev
Established baseline models for sentence revision
Demonstrated potential to assist non-native writers
Abstract
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…
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Taxonomy
TopicsNatural Language Processing Techniques · Topic Modeling · Software Engineering Research
