@conference {GehrmannColWriting2015,
	title = {Deploying AI Methods to Support Collaborative Writing: a Preliminary Investigation},
	booktitle = {CHI{\textquoteright}15 Extended Abstracts on Human Factors in Computing Systems},
	year = {2015},
	publisher = {ACM},
	organization = {ACM},
	abstract = {Many documents (e.g., academic papers, government\&nbsp;reports) are typically written by multiple authors. While\&nbsp;existing tools facilitate and support such collaborative\&nbsp;efforts (e.g., Dropbox, Google Docs), these tools lack\&nbsp;intelligent information sharing mechanisms. Capabilities\&nbsp;such as "track changes" and "diff"" visualize changes to\&nbsp;authors, but do not distinguish between minor and major\&nbsp;edits and do not consider the possible effects of edits on\&nbsp;other parts of the document. Drawing collaborators{\textquoteright}\&nbsp;attention to specific edits and describing them remains\&nbsp;the responsibility of authors. This paper presents our\&nbsp;initial work toward the development of a collaborative\&nbsp;system that supports multi-author writing. We describe\&nbsp;methods for tracking paragraphs, identifying significant\&nbsp;edits, and predicting parts of the paper that are likely to\&nbsp;require changes as a result of previous edits. Preliminary\&nbsp;evaluation of these methods shows promising results.},
	url = {https://www.dropbox.com/s/ny877fw5pd4ouhp/paperFinal.pdf?dl=0},
	author = {Sebastian Gehrmann and Lauren Urke and Amir, Ofra and Grosz, Barbara J}
}
