Deploying AI methods to support collaborative writing: A preliminary investigation

Sebastian Gehrmann, Lauren Urke, Ofra Amir, Barbara J. Grosz

פרסום מחקרי: פרק בספר / בדוח / בכנספרסום בספר כנסביקורת עמיתים


Many documents (e.g., academic papers, government reports) are typically written by multiple authors. While existing tools facilitate and support such collaborative efforts (e.g., Dropbox, Google Docs), these tools lack intelligent information sharing mechanisms. Capabilities such as \track changes" and \diff" visualize changes to authors, but do not distinguish between minor and major edits and do not consider the possible effects of edits on other parts of the document. Drawing collaborators' attention to specific edits and describing them remains the responsibility of authors. This paper presents our initial work toward the development of a collaborative system that supports multi-author writing. We describe methods for tracking paragraphs, identifying significant edits, and predicting parts of the paper that are likely to require changes as a result of previous edits. Preliminary evaluation of these methods shows promising results.

שפה מקוריתאנגלית
כותר פרסום המארחCHI 2015 - Extended Abstracts Publication of the 33rd Annual CHI Conference on Human Factors in Computing Systems
כותר משנה של פרסום המארחCrossings
מספר עמודים6
מסת"ב (אלקטרוני)9781450331463
מזהי עצם דיגיטלי (DOIs)
סטטוס פרסוםפורסם - 18 אפר׳ 2015
פורסם באופן חיצוניכן
אירוע33rd Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2015 - Seoul, קוריאה הדרומית
משך הזמן: 18 אפר׳ 201523 אפר׳ 2015

סדרות פרסומים

שםConference on Human Factors in Computing Systems - Proceedings


כנס33rd Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2015
מדינה/אזורקוריאה הדרומית

ASJC Scopus subject areas

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