Intelligent email: aiding users with AI

Authors:
Mark Dredze;Hanna M. Wallach;Danny Puller;Tova Brooks;Josh Carroll;Joshua Magarick;John Blitzer;Fernando Pereira
Affiliations:
Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA;Department of Computer Science, University of Massachusetts, Amherst, Amherst, MA;Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA;Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA;Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA;Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA;Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA;Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA
Venue:
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 3
Year:
2008

Citing 9
Cited 0

Email overload: exploring personal information management of email

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
MailCat: an intelligent assistant for organizing e-mail

Proceedings of the third annual conference on Autonomous Agents
Latent dirichlet allocation

The Journal of Machine Learning Research
Combining linguistic and machine learning techniques for email summarization

ConLL '01 Proceedings of the 2001 workshop on Computational Natural Language Learning - Volume 7
Generating overview summaries of ongoing email thread discussions

COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Generating summary keywords for emails using topics

Proceedings of the 13th international conference on Intelligent user interfaces
Intelligent email: reply and attachment prediction

Proceedings of the 13th international conference on Intelligent user interfaces
Activity-centric email: a machine learning approach

AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Thread arcs: an email thread visualization

INFOVIS'03 Proceedings of the Ninth annual IEEE conference on Information visualization

Quantified Score

Hi-index	0.00

Visualization

Abstract

Email occupies a central role in the modern workplace. This has led to a vast increase in the number of email messages that users are expected to handle daily. Furthermore, email is no longer simply a tool for asynchronous online communication-email is now used for task management, personal archiving, as well both synchronous and asynchronous online communication (Whittaker and Sidner 1996). This explosion can lead to .. email overload"-many users are overwhelmed by the large quantity of information in their mailboxes. In the human--computer interaction community, there has been much research on tackling email overload. Recently, similar efforts have emerged in the artificial intelligence (AI) and machine learning communities to form an area of research known as intelligent email. In this paper, we take a user-oriented approach to applying AI to email. We identify enhancements to email user interfaces and employ machine learning techniques to support these changes. We focus on three tasks-summary keyword generation, reply prediction and attachment prediction-and summarize recent work in these areas.