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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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 academic papers for developing and evaluating SentRev models. We also establish baseline performance on SentRev using our newly built evaluation dataset.

Original languageEnglish
Title of host publicationINLG 2019 - 12th International Conference on Natural Language Generation, Proceedings of the Conference
PublisherAssociation for Computational Linguistics (ACL)
Pages40-53
Number of pages14
ISBN (Electronic)9781950737949
Publication statusPublished - 2019
Event12th International Conference on Natural Language Generation, INLG 2019 - Tokyo, Japan
Duration: 2019 Oct 292019 Nov 1

Publication series

NameINLG 2019 - 12th International Conference on Natural Language Generation, Proceedings of the Conference

Conference

Conference12th International Conference on Natural Language Generation, INLG 2019
CountryJapan
CityTokyo
Period19/10/2919/11/1

ASJC Scopus subject areas

  • Software

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