CorpusStudio: Surfacing Emergent Patterns In A Corpus Of Prior Work While Writing

要旨

Many communities, including the scientific community, develop implicit writing norms. Understanding them is crucial for effective communication with that community. Writers gradually develop an implicit understanding of norms by reading papers and receiving feedback on their writing. However, it is difficult to both externalize this knowledge and apply it to one's own writing. We propose two new writing support concepts that reify document and sentence-level patterns in a given text corpus: (1) an ordered distribution over section titles and (2) given the user's draft and cursor location, many retrieved contextually relevant sentences. Recurring words in the latter are algorithmically highlighted to help users see any emergent norms. Study results (N=16) show that participants revised the structure and content using these concepts, gaining confidence in aligning with or breaking norms after reviewing many examples. These results demonstrate the value of reifying distributions over other authors’ writing choices during the writing process.

著者
Hai Dang
University of Bayreuth, Bayreuth, Germany
Chelse Swoopes
Harvard University, Cambridge, Massachusetts, United States
Daniel Buschek
University of Bayreuth, Bayreuth, Germany
Elena L.. Glassman
Harvard University, Allston, Massachusetts, United States
DOI

10.1145/3706598.3713974

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713974

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Writing Support and Content Moderation

G416+G417
7 件の発表
2025-04-29 20:10:00
2025-04-29 21:40:00
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