Professor Dorr joined the Department of Computer and Information Science and Engineering at the University of Florida in 2022 where she directs the Natural Language Processing & Culture (NLP&C) Laboratory. She also works with faculty and students in both the Florida Institute for National Security and the Florida Institute for Cybersecurity Research. She has an affiliate appointment at the Institute for Human and Machine Cognition, is Professor Emerita at the University of Maryland, and is former program manager at the Defense Advanced Research Projects Agency (DARPA), overseeing human language technology programs.

She has served on the Executive Council of the Association for Advancement of Artificial Intelligence (AAAI) and on the Executive Board of the Association for Computational Linguistics (ACL). She is a Sloan Fellow, NSF Presidential Faculty (PECASE) Fellow, and a former president of the Association for Computational Linguistics. She has served on the Executive Council of the Association for Advancement of Artificial Intelligence (AAAI) and on the Executive Board of the Association for Computational Linguistics (ACL). She was named AAAI Fellow in 2013, ACL Fellow in 2016, ACM Fellow in 2021, and in 2020 was named by DARPA to the Information Science and Technology (ISAT) Study Group.

Research

Her research in artificial intelligence (AI) and natural language processing (NLP) focuses on innovative solutions at the intersection of computer science and formal linguistics in several areas, e.g., machine translation, cyber-aware language processing, summarization, and cross-language information retrieval. Much of her past, current, and future research focuses on issues concerning: (a) brittleness of multilingual systems; (b) hybrid (neural-symbolic) systems to improve accuracy and robustness of large-scale processing; and (c) “explainability” amidst ever-increasing numbers of black-box machine-learning (ML) variants, especially in the era of large language models (LLMs).

Her recent research focuses on cyber-event extraction and natural language understanding for detecting attacks, discerning intentions of attackers, thwarting social engineering attacks, detecting stances and other indicators of influence campaigns, and building generalized models that are inherently interpretable.

Education

She holds a Master's and a Ph.D. in computer science from the Massachusetts Institute of Technology, with a Bachelor's degree from Boston University.

Research

Education

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