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Razvan Bunescu

Associate Professor
Electrical Engineering and Computer Science
STKR 337
Phone: 740.593.1579

Since completing his doctorate, Dr. Bunesco researched the exploitation of large scale weakly structured collections of documents for natural language processing applications. More recently, in collaboration with a group of diabetes experts, he worked on machine learning models for medical informatics tasks such as blood glucose level prediction and glycemic variability detection.

He was co-chair of the ""Text Mining and Information Extraction"" track at ACL 2011 and also served as co-chair of two recent AAAI/IJCAI workshops on the synergy between user-contributed knowledge and Artificial Intelligence. He routinely serves on the program committees of conferences in Computational Linguistics, Machine Learning, and Artificial Intelligence.

Research Interests: Machine Learning (probabilistic graphical models, kernel methods, multiple instance learning, semi-supervised learning, time series forecasting), Natural Language Processing (information extraction, word sense disambiguation, question answering), Health Informatics (intelligent diabetes management), Bioinformatics (mining interactomes from literature and microarray data, extraction of protein-protein interactions from bimedical literature), Music Cognition.

All Degrees Earned: "Ph.D., Computer Sciences, University of Texas at Austin, 2007. M.S., Computer Science, University Politehnica of Bucharest, 1999. B.S., Computer Science, University Politehnica of Bucharest, 1998."


1) “Word Sense Disambiguation using Wikipedia” – Bharath Dandala, Rada Mihalcea, and Razvan Bunescu. Book chapter in The People's Web Meets NLP: Collaboratively Constructed Language Resources, Iryna Gurevych and Jungi Kim (Eds.), Springer 2012.

2) “Emerging Applications for Intelligent Diabetes Management” – Cindy Marling, Matthew Wiley, Razvan C. Bunescu, Jay Shubrook, Frank Schwartz. AI Magazine (Special Issue on Innovative Applications of AI), Vol 33, No 2 (2012).

3) “An Adaptive Clustering Model that Integrates Expert Rules and N-gram Statistics for Coreference Resolution” – Razvan Bunescu. 20th European Conference on Artificial Intelligence (ECAI), Montpellier, France, August 2012.

4) “Using Encyclopedic Knowledge for Named Entity Disambiguation” – Razvan C. Bunescu and Marius Pasca. Proceedings of the 11th Conference of the European Chapter of the Association for Computational Linguistics (EACL), Trento, Italy, April 2006.

5) “Subsequence Kernels for Relation Extraction” – Razvan C. Bunescu and Raymond J. Mooney. Proceedings of the 19th Conference on Neural Information Processing Systems (NIPS), Vancouver, BC, December 2005.


“Method and system for extracting opinions from text documents” – Jeonghee Yi, Tetsuya Nasukawa, and Razvan Bunescu. United States Patent 8,200,477. June 12, 2012.