Razvan Bunescu
Scholar

Razvan Bunescu

Google Scholar ID: fi4HWW8AAAAJ
UNC Charlotte
Natural Language ProcessingMachine LearningComputer ArchitectureMIR
Citations & Impact
All-time
Citations
4,733
 
H-index
32
 
i10-index
61
 
Publications
20
 
Co-authors
31
list available
Resume (English only)
Academic Achievements
  • - A Text-Based Recommender System that Leverages Explicit Affective State Preferences, to appear in Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), November 2025.
  • - An Expectation-Realization Model for Metaphor Detection, Best paper award at the 4th Workshop on Figurative Language Processing (FigLang), June 2024.
  • - Can language models employ the Socratic method? Experiments with code debugging, Proceedings of the 55th ACM Technical Symposium on Computer Science Education (SIGCSE), March 2024.
  • - Topic-Level Bayesian Surprise and Serendipity for Recommender Systems, Proceedings of the 17th ACM Conference on Recommender Systems (RecSys), September 2023.
  • - A semantic parsing pipeline for context-dependent question answering over temporally structured data, Natural Language Engineering, October 2021.
  • - More publications available in Google Scholar.
Research Experience
  • - Associate Editor for IEEE Transactions on Computers, 2024-25.
  • - Program co-chair of the International Summer School on Data Science organized by the Bucharest University of Economic Studies in Predeal, 2018-24.
  • - Standing reviewer for Computational Linguistics, 2021-25.
  • - Area chair for the NLP Applications track at ACL 2020.
  • - Co-chair, with Cindy Marling, of the Blood Glucose Level Prediction Challenge at the ECAI 2020 workshop on Knowledge Discovery in Healthcare Data.
  • - Guest editor of the special issue on Sensor Technologies: Artificial Intelligence for Diabetes Management in the journal Sensors, 2020.
  • - Area chair for the Applications track at ACL 2019.
  • - Co-chair, with Cindy Marling, of the Blood Glucose Level Prediction Challenge at the IJCAI 2018 workshop on Knowledge Discovery in Healthcare Data.
  • - Invited talk at University of Akron on Machine Learning Models for Blood Glucose Level Prediction, October 2017.
  • - Co-chairs of the ACL-IJCNLP 2015 track on Information Extraction and Text Mining with Steven Bethard and Mausam.
  • - Member of the Senior Program Committee for IJCAI 2013.
  • - Member of the Senior Program Committee for AAAI 2012, in the area of Natural Language Processing.
  • - Co-chaired the ACL HLT 2011 track on Text Mining and Information Extraction with Alex Yates.
  • - Co-chaired the OCCBIO 2010 session on Data Mining and Machine Learning with Michael Raymer.
  • - Organized the IJCAI 2009 workshop on User Contributed Knowledge and AI: An evolving synergy with Vivi, Rada, Evgeniy.
  • - Organized the AAAI 2008 workshop on Wikipedia and AI: An evolving synergy with Rada, Evgeniy.
Education
  • - Ph.D. in Computer Science, University of Texas at Austin, 2007
  • - M.S. in Computer Science, University Politehnica of Bucharest, 1999
  • - B.S. in Computer Science, University Politehnica of Bucharest, 1998
Background
  • Research Interests: Machine Learning, Natural Language Processing, Music Information Retrieval.