Jaime Carbonell
Affiliations: | Carnegie Mellon University, Pittsburgh, PA | ||
1979 | Yale University, New Haven, CT |
Area:
Natural language processingWebsite:
https://www.cs.cmu.edu/~jgc/Google:
"Jaime Carbonell"Cross-listing: Computer Science Tree
Parents
Sign in to add mentorRoger C. Schank | grad student | 1979 | Yale (Neurotree) | |
(Subjective Understanding: Computer Models of Belief Systems) |
Children
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Publications
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Lim K, Lee JY, Carbonell J, et al. (2020) Semi-Supervised Learning on Meta Structure: Multi-Task Tagging and Parsing in Low-Resource Scenarios Proceedings of the Aaai Conference On Artificial Intelligence. 34: 8344-8351 |
Kshirsagar M, Murugesan K, Carbonell JG, et al. (2017) Multitask Matrix Completion for Learning Protein Interactions Across Diseases. Journal of Computational Biology : a Journal of Computational Molecular Cell Biology |
Dunietz J, Levin L, Carbonell J. (2017) Automatically Tagging Constructions of Causation and Their Slot-Fillers Transactions of the Association For Computational Linguistics. 5: 117-133 |
Liu H, Ma W, Yang Y, et al. (2016) Learning Concept Graphs from Online Educational Data Journal of Artificial Intelligence Research. 55: 1059-1090 |
Marujo L, Ling W, Ribeiro R, et al. (2016) Exploring events and distributed representations of text in multi-document summarization Knowledge-Based Systems. 94: 33-42 |
Marujo L, Ribeiro R, Gershman A, et al. (2016) Event-based summarization using a centrality-as-relevance model Knowledge and Information Systems. 50: 945-968 |
Kshirsagar M, Schleker S, Carbonell J, et al. (2015) Techniques for transferring host-pathogen protein interactions knowledge to new tasks. Frontiers in Microbiology. 6: 36 |
Kshirsagar M, Carbonell J, Klein-Seetharaman J. (2012) Techniques to cope with missing data in host-pathogen protein interaction prediction. Bioinformatics (Oxford, England). 28: i466-i472 |
He J, Tong H, Carbonell J. (2012) An effective framework for characterizing rare categories Frontiers of Computer Science. 6: 154-165 |
Yang L, Hanneke S, Carbonell J. (2012) A theory of transfer learning with applications to active learning Machine Learning. 90: 161-189 |