Faculty DirectoryLarry Birnbaum
Professor of Electrical Engineering and Computer Science
Contact2145 Sheridan Road
Evanston, IL 60208-3109
Email Larry Birnbaum
Ph.D. Computer Science, Yale University, New Haven, CT
M.S. Computer Science, Yale University, New Haven, CT
B.S. Computer Science, Yale University, New Haven, CT
Larry Birnbaum's research and teaching encompass Artificial Intelligence, natural language processing, applied machine learning, and social media analytics, with applications to media and journalism. A key focus is on methods for the automatic generation of content by machine, including specifically the automatic generation of narratives from data. Another important area of Larry's research is intelligent information systems, including models of automatic and contextual search and information diversity. A third focus is on preference predication and recommendation using social media data. More generally, projects in Larry's lab are aimed at automating and supporting all aspects of the "content pipeline," including research, content generation, content distribution, and user interaction with content.
Leake, D., Birnbaum, L., Hammond, K., Marlow, C., and Yang, H. Integrating diverse information resources in a case-based design environment. Engineering Applications of Artificial Intelligence, vol. 12, 1999, pp. 705-716.
Johnson, C., Birnbaum, L., Bareiss, R., and Hinrichs, T. War stories: Harnessing organizational memories to support task performance. ACM Intelligence, vol. 11, 2000, pp. 16-31.
Budzik, J., Hammond, K., and Birnbaum, L. Information access in context. Knowledge-Based Systems, vol. 14, 2001, pp. 37-53.
Liu, J., Wagner, E., and Birnbaum, L. Compare&Contrast: Using the web to discover comparable cases for news stories. Proceedings of the 16th International World Wide Web Conference, Banff, Canada, 2007, pp. 541-550.
Sood, S., Owsley, S., Hammond, K., and Birnbaum, L. TagAssist: Automatic tag suggestions for blog posts. Proceedings of the First International Conference on Weblogs and Social Media, Boulder, CO, 2007, pp. 177-183. (Best paper award.)
Liu, J., and Birnbaum, L. What do they think? Aggregating local views about news events and topics. Proceedings of the 17th International World Wide Web Conference, Beijing, China, 2008.
Liu, J., Birnbaum, L., and Pardo, B. Spectrum: Retrieving different points of view from the blogosphere. Proceedings of the Third International Conference on Weblogs and Social Media, San Jose, CA, 2009.
Allen, N., Templon, J., McNally, P., Birnbaum, L., and Hammond, K. Statsmonkey: Automatic generation of narrative from data. Computational Models of Narrative: Papers from the 2010 AAAI Fall Symposium, Arlington, VA, 2010.
Iacobelli, F., Birnbaum, L., and Hammond, K. Tell me more, not just “More of the same”. Proceedings of the 2010 International Conference on Intelligent User Interfaces, Hong Kong, China, 2010.
O’Banion, S., Birnbaum, L., and Hammond, K. Social media-driven news personalization. Proceedings of the ACM RecSys 2012 Workshop on Recommender Systems and the Social Web, Dublin, Ireland, 2012.
O’Banion, S., Birnbaum, L., and Bradley, S. Finding the local angle in national news. Proceedings of the 2013 International Conference on Intelligent User Interfaces, Santa Monica, CA, 2013.
O’Banion, S., and Birnbaum, L. Using explicit linguistic expressions of preference in social media to predict voting behavior. Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Niagara Falls, Canada, 2013. (Best paper award.)