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Razvan Bunescu

Associate Professor
Electrical Engineering and Computer Science,Center for Scientific Computing and Immersive Technologies
STKR 341
bunescu@ohio.edu
Phone: 740.593.1579

http://ace.cs.ohio.edu/~razvan

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, Natural Language Processing, Health Informatics, Bioinformatics, 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.

Journal Article, Academic Journal (6)

  • Shen, K., Bunescu, R., Wyatt, S. Semi-supervised methods for automatic mining of related genes. Bioinformatics.
  • Marling, C., Struble, N., Bunescu, R., Shubrook, J., Schwartz, F. A Consensus Perceived Glycemic Variability Metric. 4. Journal of Diabetes Science and Technology; 7: 871-879.
  • Marling, C., Bunescu, R., Shubrook, J., Schwartz, F. Emerging Applications for Intelligent Diabetes Management. 2. AI Magazine; 33: 67-78.
  • Bunescu, R., Ge, R., Kate, R., Marcotte, E., Mooney, R., Ramani, A., Wong, Y. Comparative Experiments on Learning Information Extractors for Proteins and their Interactions. 2. Artificial Intelligence in Medicine (Special Issue on Summarization and Information Extraction from Medical Documents); 33: 139-155.
  • Ramani, A., Bunescu, R., Mooney, R., Marcotte, E. Consolidating the Set of Known Human Protein-Protein Interactions in Preparation for Large-Scale Mapping of the Human Interactome. 5, r40. Genome Biology; 6.
  • Mooney, R., Bunescu, R. Mining Knowledge from Text Using Information Extraction. 1. SIGKDD Explorations (Special Issue on Text Mining and Natural Language Processing); 7: 3-10.

Book, Chapter in Scholarly Book (3)

  • Dandala, B., Mihalcea, R., Bunescu, R. Word Sense Disambiguation using Wikipedia. The People’s Web Meets NLP: Collaboratively Constructed Language Resources; 23. http://www.springer.com/education+%26+language/linguistics/book/978-3-642-35084-9.
  • Bunescu, R., Mooney, R. “Extracting Relations from Text: From Word Sequences to Dependency Paths” in Text Mining and Natural Language Processing. Springer; 29–44.
  • Bunescu, R., Mooney, R. “Statistical Relational Learning for Natural Language Information Extraction” in Statistical Relational Learning. Cambridge, MA: MIT Press; 535-552.

Journal Article, Professional Journal (1)

Conference Proceeding (33)

  • Ye, X., Bunescu, R., Liu, C. Learning to Rank Relevant Files for Bug Reports using Domain Knowledge. 22nd ACM SIGSOFT International Symposium on the Foundations of Software Engineering (FSE); 11. http://dl.acm.org/citation.cfm?id=2635874.
  • Plis, K., Bunescu, R., Marling, C., Shubrook, J., Schwartz, F. A Machine Learning Approach to Predicting Blood Glucose Levels for Diabetes Management . Palo Alto, CA: AAAI Press; 35-39.
  • Bunescu, R., Struble, N., Marling, C., Shubrook, J., Schwartz, F. Blood Glucose Level Prediction using Physiological Models and Support Vector Regression. International Conference on Machine Learning and Applications (ICMLA) 2013; http://www.icmla-conference.org/icmla13/.
  • Dandala, B., Mihalcea, R., Bunescu, R. Multilingual Word Sense Disambiguation Using Wikipedia. Asian Federation of Natural Language Processing; http://aclweb.org/anthology//I/I13/I13-1000.pdf.
  • Dandala, B., Hokamp, C., Mihalcea, R., Bunescu, R. Sense Clustering Using Wikipedia. Proceedings of RANLP; http://lml.bas.bg/ranlp2013/proceedings.php.
  • Shen, H., Bunescu, R., Mihalcea, R. Coarse to Fine Grained Sense Disambiguation in Wikipedia. Association for Computational Linguistics; http://aclweb.org/anthology//S/S13/S13-1003.pdf.
  • Shen, H., Bunescu, R., Mihalcea, R. Sense and Reference Disambiguation in Wikipedia. Mumbai: 24th International Conference on Computational Linguistics; 1111-1120. http://www.aclweb.org/anthology/C12-2108.
  • Marling, C., Bunescu, R., Shubrook, J., Schwartz, F. System Overview: The 4 Diabetes Support System. Lyon: Workshop Proceedings of the Twentieth International Conference on Case-Based Reasoning; 81-86.
  • Bunescu, R. An Adaptive Clustering Model that Integrates Expert Rules and N-gram Statistics for Coreference Resolution. Montpellier: 20th European Conference on Artificial Intelligence; 242: 897-898. http://www.booksonline.iospress.nl/Content/View.aspx?piid=31730.
  • Bunescu, R. Adaptive Clustering for Coreference Resolution with Deterministic Rules and Web-Based Language Models. Stroudsburg, PA: First Joint Conference on Lexical and Computational Semantics; 1: 11--19. http://dl.acm.org/citation.cfm?id=2387639.
  • Dandala, B., Mihalcea, R., Bunescu, R. Towards building a multilingual semantic network: identifying interlingual links in Wikipedia. Stroudsburg, PA: First Joint Conference on Lexical and Computational Semantics; 1: 30-37. http://dl.acm.org/citation.cfm?id=2387641.
  • Marling, C., Wiley, M., Cooper, T., Bunescu, R., Shubrook, J., Schwartz, F. "The 4 Diabetes Support System: A Case Study in CBR Research and Development," in Case-Based Reasoning Research and Development: 19th International Conference on Case-Based Reasoning, ICCBR 2011 Proceedings. Berlin: Springer.
  • Wiley, M., Bunescu, R., Marling, C., Shubrook, J., Schwartz, F. Automatic Detection of Excessive Glycemic Variability for Diabetes Management. Honolulu, Hawaii: The 10th International Conference on Machine Learning Applications; http://www.icmla-conference.org/icmla11/index.htm.
  • Marling, C., Wiley, M., Bunescu, R., Shubrook, J., Schwartz, F. Emerging Applications for Intelligent Diabetes Management. San Francisco, CA: The 23rd Annual Conference on Innovative Applications of Artificial Intelligence (IAAI); 1668-1673. http://www.aaai.org/ocs/index.php/IAAI/IAAI-11.
  • Mohler, M., Bunescu, R., Rada, M. Learning to Grade Short Answer Questions using Semantic Similarity Measures and Dependency Graph Alignments. Portland, OR: The 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL/HLT); 753-762. http://www.acl2011.org/.
  • Bunescu, R., Huang, Y. Learning the Relative Usefulness of Questions in Community QA. Cambridge, MA: Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP); 97-107. http://www.aclweb.org/anthology-new/D/D10/D10-1010.pdf.
  • Bunescu, R., Yunfeng, H. A Utility-Driven Approach to Question Ranking. Beijing: Proceedings of the 23rd International Conference on Computational Linguistics (COLING); 125-133. http://aclweb.org/anthology-new/C/C10/C10-1015.pdf.
  • Bunescu, R. Learning with Probabilistic Features for Improved Pipeline Models. Waikiki, Honolulu, Hawaii: Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).
  • Bunescu, R., Mooney, R. Learning to Extract Relations from the Web using Minimal Supervision. Prague, Czech Republic: Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics (ACL).
  • Bunescu, R., Mooney, R. Multiple Instance Learning for Sparse Positive Bags. Corvallis, OR: Proceedings of the 24th International Conference on Machine Learning (ICML).
  • Bunescu, R., Mooney, R., Ramani, A., Marcotte, E. Integrating Co-occurrence Statistics with Information Extraction for Robust Retrieval of Protein Interactions from Medline. New York City, NY: Proceedings of the HLT-NAACL Workshop on Linking Natural Language Processing and Biology: Towards deeper biological literature analysis (BioNLP-2006); 49-56.
  • Bunescu, R., Pasca, M. Using Encyclopedic Knowledge for Named Entity Disambiguation. Trento, Italy: Proceedings of the 11th Conference of the European Chapter of the Association for Computational Linguistics (EACL).
  • Bunescu, R., Mooney, R. Subsequence Kernels for Relation Extraction. Vancouver, BC: Proceedings of the 19th Conference on Neural Information Processing Systems (NIPS).
  • Bunescu, R., Mooney, R. A Shortest Path Dependency Kernel for Relation Extraction. Vancouver, BC: Proceedings of the Joint Conference on Human Language Technology / Empirical Methods in Natural Language Processing (HLT/EMNLP).
  • Ramani, A., Marcotta, E., Bunescu, R., Mooney, R. Using Biomedical Literature Mining to Consolidate the Set of Known Human Protein-Protein Interactions. Detroit, MI: Proceedings of the ACL-ISMB Workshop on Linking Biological Literature, Ontologies and Databases: Mining Biological Semantics,; 46--53.
  • Bunescu, R., Mooney, R. Collective Information Extraction with Relational Markov Networks. Barcelona, Spain: Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics (ACL).
  • Bunescu, R., Mooney, R. Relational Markov Networks for Collective Information Extraction. Banff, Canada: Proceedings of the ICML-2004 Workshop on Statistical Relational Learning and its Connections to Other Fields (SRL-2004).
  • Yi, J., Nasukawa, T., Bunescu, R., Niblack, W. Sentiment Analyzer: Extracting Sentiments about a Given Topic using Natural Language Processing Techniques. Melbourne, Florida: Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM).
  • Bunescu, R., Ge, R., Kate, R., Marcotte, E., Mooney, R., Ramani, A., Wong, Y. Learning to Extract Proteins and their Interactions from Medline Abstracts. Washington DC: Proceedings of the ICML-2003 Workshop on Machine Learning in Bioinformatics; 46-53.
  • Bunescu, R. Associative Anaphora Resolution: A Web-Based Approach. Budapest, Hungary: Proceedings of the EACL 2003 Workshop on The Computational Treatment of Anaphora.
  • Harabagiu, S., Moldovan, D., Pasca, M., Mihalcea, R., Surdeanu, M., Bunescu, R., Girju, R., Rus, V., Morarescu, P. The Role of Lexico-Semantic Feedback in Open-Domain Textual Question-Answering. Toulouse, France: Proceedings of the 39th Annual Meeting of the Association for Computational Linguistics (ACL).
  • Harabagiu, S., Bunescu, R., Maiorano, S. Text and Knowledge Mining for Coreference Resolution. Pittsburgh, PA: Proceedings of the 2nd Meeting of the North American Chapter of the Association for Computational Linguistics (NAACL).
  • Harabagiu, S., Moldovan, D., Pasca, M., Mihalcea, R., Surdeanu, M., Bunescu, R., Girju, R., Rus, V., Morarescu, P. FALCON: Boosting Knowledge for Answer Engines. Gaithersburg, Maryland: Proceedings of the 9th Text REtrieval Conference (TREC 2000).

Other (2)

  • Marling, C., Struble, N., Bunescu, R., Shubrook, J., Schwartz, F. A Consensus Perceived Glycemic Variability Metric.
  • Marling, C., Struble, N., Bunescu, R., Shubrook, J., Schwartz, F. A Consensus Perceived Glycemic Variability Metric. Bethesda, Maryland: Diabetes Technology Meeting.

Patents

  • Bunescu, R., Yi, J., Nasukawa, T. Method and system for extracting opinions from text documents. 8,200,477.