Faculty DirectoryLarry Birnbaum
Professor of Computer Science
Contact
2233 Tech DriveMudd Room 3225
Evanston, IL 60208-3109
847-491-3640Email Larry Birnbaum
Website
Departments
Affiliations
Master of Science in Artificial Intelligence
Education
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
Research Interests
Larry Birnbaum's research and teaching focus on applied AI and human-AI collaboration. He and his students develop, study, and apply new technologies in natural language processing (NLP), conversational interfaces, intelligent information systems, social media data analytics, machine learning, and computational journalism and media. Key areas of research include methods for the automatic generation of content by machine, including specifically the automatic generation of narratives from data, and on natural human-AI collaboration using conversational interaction. Larry's research also spans intelligent information systems, including models of automatic and contextual search and information diversity; preference predication and recommendation using social media data; and applications of AI to journalism and media.
Selected Publications
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.
Boon, M., and Birnbaum, L. Identifying “horse race” stories in election news. Proceedings of the 2019 ACM International Conference on Intelligent User Interfaces, Los Angeles, CA, 2019.
Bursztyn, V., and Birnbaum, L. Thousands of small, constant rallies: A large-scale analysis of partisan WhatsApp groups. Proceedings of the 2019 IEEE/ACM Conference on Advances in Social Networks Analysis and Mining, Vancouver, B.C., Canada, 2019.
Bursztyn, V., Healey, J., Koh, E., Lipka, N., and Birnbaum, L. Developing a conversational system for recommending limited options. Proceedings of the 2021 ACM CHI Conference, Yokohama, Japan, 2021.
Bursztyn, V., Healey, J., Lipka, N., Koh, E., Downey, D., and Birnbaum, L. “It doesn’t look good for a date”: Transforming critiques into preferences for conversational recommendation systems. Proceedings of the 2021 ACL Conference on Empirical Methods in Natural Language Processing, Punta Cana, Dominican Republic, 2021.
Bursztyn, V., Demeter, D., Downey, D., and Birnbaum, L. Learning to perform complex tasks through compositional fine-tuning of language models. Findings of the 2022 ACL Conference on Empirical Methods in Natural Language Processing, Abu Dhabi, UAE, 2022.
Cohn, J., Kuntz, A, and Birnbaum, L. AttitudeBuzz: Using social media data to localize complex attitudes. Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Paris, France, 2015.
Gomez-Zara, D., Boon, M., and Birnbaum, L. Who is the hero, the villain, and the victim? Detection of roles in news articles using natural language techniques. Proceedings of the 2018 ACM International Conference on Intelligent User Interfaces, Tokyo, Japan, 2018.
Noraset, T., Liang, C., Birnbaum, L., and Downey, D. Definition modeling: Learning to define word embeddings in natural language. Proceedings of the 31st AAAI Conference on Artificial Intelligence, San Francisco, CA, 2017.
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.)