MailCat: an intelligent assistant for organizing e-mail
Proceedings of the third annual conference on Autonomous Agents
The Journal of Machine Learning Research
A Scalable Topic-Based Open Source Search Engine
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
Automatically classifying emails into activities
Proceedings of the 11th international conference on Intelligent user interfaces
Combining linguistic and machine learning techniques for email summarization
ConLL '01 Proceedings of the 2001 workshop on Computational Natural Language Learning - Volume 7
Online multiclass learning by interclass hypothesis sharing
ICML '06 Proceedings of the 23rd international conference on Machine learning
Topic modeling: beyond bag-of-words
ICML '06 Proceedings of the 23rd international conference on Machine learning
LDA-based document models for ad-hoc retrieval
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Generating overview summaries of ongoing email thread discussions
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
FASIL email summarisation system
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Summarizing email conversations with clue words
Proceedings of the 16th international conference on World Wide Web
Online Passive-Aggressive Algorithms
The Journal of Machine Learning Research
HLT-NAACL-Short '04 Proceedings of HLT-NAACL 2004: Short Papers
Topic and role discovery in social networks with experiments on enron and academic email
Journal of Artificial Intelligence Research
Topic and role discovery in social networks
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Data clouds: summarizing keyword search results over structured data
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
Intelligent email: aiding users with AI
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 3
Predicting response to political blog posts with topic models
NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Interactive, topic-based visual text summarization and analysis
Proceedings of the 18th ACM conference on Information and knowledge management
Incremental E-Mail Classification and Rule Suggestion Using Simple Term Statistics
AI '09 Proceedings of the 22nd Australasian Joint Conference on Advances in Artificial Intelligence
Clustering to find exemplar terms for keyphrase extraction
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1
TIARA: a visual exploratory text analytic system
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Who is talking about what: social map-based recommendation for content-centric social websites
Proceedings of the fourth ACM conference on Recommender systems
Exploiting conversation structure in unsupervised topic segmentation for emails
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Focused retrieval and result aggregation with political data
Information Retrieval
Proceedings of the 16th ACM international conference on Supporting group work
'Dealing with My Emails': Latent user needs in email management.
Computers in Human Behavior
Information at your fingertips: contextual IR in enterprise email
Proceedings of the 16th international conference on Intelligent user interfaces
Exploiting concept clumping for efficient incremental e-mail categorization
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications - Volume Part II
Constructing concept relation network and its application to personalized web search
Proceedings of the 14th International Conference on Extending Database Technology
Who is Doing What and When: Social Map-Based Recommendation for Content-Centric Social Web Sites
ACM Transactions on Intelligent Systems and Technology (TIST)
Understanding information preview in mobile email processing
Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services
TIARA: Interactive, Topic-Based Visual Text Summarization and Analysis
ACM Transactions on Intelligent Systems and Technology (TIST)
Mail2Wiki: low-cost sharing and early curation from email to wikis
Proceedings of the 5th International Conference on Communities and Technologies
How different are language models andword clouds?
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
Optimizing temporal topic segmentation for intelligent text visualization
Proceedings of the 2013 international conference on Intelligent user interfaces
Multi-document summarization based on the Yago ontology
Expert Systems with Applications: An International Journal
Automated content labeling using context in email
Proceedings of the 17th International Conference on Management of Data
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Email summary keywords, used to concisely represent the gist of an email, can help users manage and prioritize large numbers of messages. We develop an unsupervised learning framework for selecting summary keywords from emails using latent representations of the underlying topics in a user's mailbox. This approach selects words that describe each message in the context of existing topics rather than simply selecting keywords based on a single message in isolation. We present and compare four methods for selecting summary keywords based on two well-known models for inferring latent topics: latent semantic analysis and latent Dirichlet allocation. The quality of the summary keywords is assessed by generating summaries for emails from twelve users in the Enron corpus. The summary keywords are then used in place of entire messages in two proxy tasks: automated foldering and recipient prediction. We also evaluate the extent to which summary keywords enhance the information already available in a typical email user interface by repeating the same tasks using email subject lines.