Deploying AI methods to support collaborative writing: A preliminary investigation

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

نتاج البحث: فصل من :كتاب / تقرير / مؤتمرمنشور من مؤتمرمراجعة النظراء


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.

اللغة الأصليةالإنجليزيّة
عنوان منشور المضيفCHI 2015 - Extended Abstracts Publication of the 33rd Annual CHI Conference on Human Factors in Computing Systems
العنوان الفرعي لمنشور المضيفCrossings
عدد الصفحات6
رقم المعيار الدولي للكتب (الإلكتروني)9781450331463
المعرِّفات الرقمية للأشياء
حالة النشرنُشِر - 18 أبريل 2015
منشور خارجيًانعم
الحدث33rd Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2015 - Seoul, كوريا الجنوبيّة
المدة: ١٨ أبريل ٢٠١٥٢٣ أبريل ٢٠١٥

سلسلة المنشورات

الاسمConference on Human Factors in Computing Systems - Proceedings
مستوى الصوت18


!!Conference33rd Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2015
الدولة/الإقليمكوريا الجنوبيّة

All Science Journal Classification (ASJC) codes

  • !!Software
  • !!Human-Computer Interaction
  • !!Computer Graphics and Computer-Aided Design

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