Bonnie Jean Dorr is an American computer scientist specializing in natural language processing, machine translation, automatic summarization, social computing, and explainable artificial intelligence.[1] She is a professor and director of the Natural Language Processing Research Laboratory[2] in the Department of Computer & Information Science & Engineering[3] at the University of Florida.[4] Gainesville, Florida She is professor emerita of computer science and linguistics and former dean at the University of Maryland, College Park,[5][6] former associate director at the Florida Institute for Human and Machine Cognition,[7][8][9], and former president of the Association for Computational Linguistics.[5][6]
Bonnie Dorr | |
|---|---|
| Alma mater | Boston University MIT |
| Scientific career | |
| Institutions | University of Florida, Gainesville Florida Institute for Human and Machine Cognition University of Maryland, College Park |
Education
editDorr is a graduate of Boston University, and earned both a Master's (1986) and a Ph.D. (1990) from the Massachusetts Institute of Technology.[5][6] Her dissertation, Lexical Conceptual Structure and Machine Translation, was supervised by Robert C. Berwick.[10]
Academic career
editDorr joined the University of Maryland faculty in 1992. At Maryland, she became the founding co-director of the Computational Linguistics and Information Processing Laboratory,[11] and associate dean of the university's College of Computer, Math, and Natural Sciences (formerly College of Computer, Math, and Physical Sciences).[12] She has also worked as a program director at DARPA beginning in 2011 while on leave from Maryland.[5][7]
She joined the Florida Institute for Human and Machine Cognition in 2014.[8][9] In January 2022, she joined the University of Florida[3] as a professor,[1] where she founded and now serves as director of the Natural Language Processing Research Laboratory.[2][13]
Book
editDorr is the author of Machine Translation: A View from the Lexicon (MIT Press, 1993), a revision of her doctoral dissertation. It describes an approach to interlingual machine translation in which, rather than directly translating text from one language to another, it goes through an intermediate form represented using conceptual semantics. The translations between the syntax of each natural language handled by the system and this form are made using government and binding theory, in contrast to the more typical approach from that time which performed this sort of translation using phrase structure grammars and the unification of feature structures. Her system was embodied in the UNITRAN system, and translated between English, Spanish, and German. However, her work was criticized for its lack of completeness (inability to handle certain common grammatical structures in these languages).[14]
Subsequently to Dorr's work, rule-based machine translation systems such as hers have largely been supplanted by statistical machine translation and neural machine translation, and some of Dorr's own later work instead focuses on data-driven approaches to machine translation[15] and prioritization of explainability in the face of the recent push for large language models (e.g., ChatGPT).[16]
Recognition
editDorr was president of the Association for Computational Linguistics for 2008.[5] She has been a Sloan Research Fellow and National Science Foundation Presidential Faculty Fellow.[7] She was elected as a Fellow of the Association for the Advancement of Artificial Intelligence in 2013 for "significant contributions to natural language understanding and representation, and development of the widely recognized methods for interlingual machine translation".[17] In 2016 she was elected as a Fellow of the Association for Computational Linguistics[7] and in 2021 she was elected Fellow of the Association for Computing Machinery.[18]
References
edit- ^ a b Bonnie J. Dorr, Ph.D., University of Florida Computer & Information Science & Engineering, 23 September 2021, retrieved 2023-05-20
- ^ a b The Natural Language Processing (NLP) Research Laboratory, University of Florida Computer & Information Science & Engineering, retrieved 2023-05-20
- ^ a b New Hire: Welcoming Bonnie Dorr to CISE, University of Florida Computer & Information Science & Engineering, August 15, 2022, retrieved 2023-05-20
- ^ Computer & Information Science & Engineering, University of Florida Computer & Information Science & Engineering, retrieved 2023-05-20
- ^ a b c d e Bonnie Dorr, University of Maryland Institute for Advanced Computer Studies, retrieved 2023-05-20
- ^ a b c Bonnie Dorr, University of Maryland Department of Computer Science, retrieved 2023-05-20
- ^ a b c d Emerita Professor Bonnie Dorr named ACL Fellow for 2016, University of Maryland Department of Computer Science, November 29, 2016, retrieved 2019-10-27
- ^ a b Dr. Bonnie Dorr joins IHMC as an associate director, senior scientist, Florida Institute for Human and Machine Cognition, March 2014, retrieved 2019-10-27
- ^ a b Gibson, Jim (December 28, 2017), "The Faces Of IHMC", Ocala Style
- ^ Bonnie Dorr at the Mathematics Genealogy Project
- ^ Computational Linguistics and Information Processing at Maryland, University of Maryland Institute for Advanced Computer Studies, retrieved 2023-05-20
- ^ College of Computer, Mathematical, and Physical Sciences Dean's Office, University of Maryland College of Computer, Mathematical and Physical Sciences, retrieved 2023-05-20
- ^ Bonnie J. Dorr Professor, Director NLP Research Laboratory, University of Florida Computer & Information Science & Engineering, retrieved 2023-05-20
- ^ Reviews of Machine Translation: A View from the Lexicon:
- Obermeier, Klaus K., "Review", ACM Computing Reviews
- Radzinski, Daniel (December 1994), "Review" (PDF), Computational Linguistics, 20 (4): 670–676
- Arnold, v (1996), "Parameterizing lexical conceptual structure for interlingual machine translation", Machine Translation, 11 (4): 217–241, doi:10.1007/BF00387396, JSTOR 40008162, S2CID 21310560
- ^ See, e.g., Madnani, Nitin; Dorr, Bonnie J. (September 2010), "Generating phrasal and sentential paraphrases: A survey of data-driven methods", Computational Linguistics, 36 (3): 341–387, doi:10.1162/coli_a_00002
- ^ Explainability and Large Language Models:
- Mather, Brodie; Perera, Ian; Kazakova, Vera; Capecci, Daniel; Garg, Muskan; Woodard, Damon; Dorr, Bonnie J. (2022), "Vision: Explainable Hidden Mental States as Influence Indicators" (PDF), Proceedings of the SocialSens Workshop, ICWSM
- Dorr, Bonnie J. (2023), "Human Language Technology Challenges and Applications (Invited)", Martha Evens Distinguished Lecture Series
- Dorr, Bonnie J. (2023), "AI and NLP Challenges, Solutions, and Gaps in the age of Chat GPT (Keynote)", Proceedings of the Florida Artificial Intelligence Research Society, 36
- ^ AAAI Honors DARPA PM Bonnie Dorr for "Significant Contributions", DARPA, September 19, 2013, retrieved 2019-10-27
- ^ ACM Fellow Award:
- Bonnie J Dorr ACM Fellows (PDF), ACM Fellows Website, 2021
- Daniel Abadi and Bonnie Dorr Named ACM Fellows, University of Maryland Department of Computer Science, 2021
- IHMC's Bonnie Dorr recognized for her distinguished career, Florida Institute for Human and Machine Cognition, 2021
External links
edit- Official website
- Bonnie Dorr publications indexed by Google Scholar