Francis Ferraro
Francis Ferraro

Assistant Professor

Faculty, Principal Faculty

University of Maryland, Baltimore County
Computer Science and Electrical Engineering, ITE 358, 1000 Hilltop CIrcle, Baltimore, MD 21250, United States

Frank Ferraro is an assistant professor in the Computer Science and Electrical Engineering department at the University of Maryland, Baltimore County. His research focuses on computational event semantics, and unlabeled, structured probabilistic modeling over very large corpora. He has published on a number of cross-disciplinary basic and applied projects, and has papers in areas such as multimodal processing and information extraction, latent-variable syntactic methods and applications, and the induction and evaluation of frames and scripts. He holds a Ph.D. in Computer Science from Johns Hopkins University and Bachelors in Computer Science and Mathematics, from the University of Rochester.

Francis Ferraro

Refereed Publications

2021

  1. A. Ganesan, F. Ferraro, and T. Oates, "Locality Preserving Loss: Neighbors that Live together, Align together", InProceedings, AdaptNPT: The Second Workshop on Domain Adaptation for NLP at EACL, April 2021.

2020

  1. N. W. Pillai, E. Raff, F. Ferraro, and C. Matuszek, "Sampling Approach Matters: Active Learning for Robotic Language Acquisition", InProceedings, IEEE BigData BDML, December 2020, 17 downloads.
  2. M. Rezaee and F. Ferraro, "A Discrete Variational Recurrent Topic Model without the Reparametrization Trick", InProceedings, NeurIPS, December 2020, 41 downloads.
  3. R. Patel and F. Ferraro, "On the Complementary Nature of Knowledge Graph Embedding, Fine Grain Entity Types, and Language Modeling", InProceedings, EMNLP Workshop on Deep Learning Inside Out, November 2020, 51 downloads.
  4. M. Rezaee and F. Ferraro, "Event Representation with Sequential, Semi-Supervised Discrete Variables", Article, arXiv:2010.04361, October 2020, 96 downloads.
  5. A. Padia, K. Kalpakis, F. Ferraro, and T. Finin, "Knowledge Graph Inference using Tensor Embedding", InProceedings, 17th International Conference on Principles of Knowledge Representation and Reasoning, September 2020, 149 downloads.
  6. A. T. Nguyen, L. E. Richards, G. Y. Kebe, E. Raff, K. Darvish, F. Ferraro, and C. Matuszek, "Practical Cross-modal Manifold Alignment for Grounded Language", Article, arXiv:2009.05147 [cs.CV], September 2020, 32 downloads.
  7. P. Jenkins, R. Sachdeva, G. Y. Kebe, P. Higgins, K. Darvish, E. Raff, D. Engel, J. Winder, F. Ferraro, and C. Matuszek, "Presentation and Analysis of a Multimodal Dataset for Grounded Language Learning", Article, arXiv:2007.14987 [cs.RO], July 2020, 35 downloads.
  8. A. Ganesan, F. Ferraro, and T. Oates, "Locality Preserving Loss to Align Vector Spaces", Article, arXiv:2004.03734 [cs.LG], April 2020, 52 downloads.
  9. T. W. Satyapanich, F. Ferraro, and T. Finin, "CASIE: Extracting Cybersecurity Event Information from Text", InProceedings, Proceeding of the 34th AAAI Conference on Artificial Intelligence, February 2020, 737 downloads.

2019

  1. T. W. Satyapanich, T. Finin, and F. Ferraro, "Extracting Rich Semantic Information about Cybersecurity Events", InProceedings, Second Workshop on Big Data for CyberSecurity, held in conjunction with the IEEE Int. Conf. on Big Data, December 2019, 401 downloads.
  2. A. Padia, K. Kalpakis, F. Ferraro, and T. Finin, "Knowledge Graph Fact Prediction via Knowledge-Enriched Tensor Factorization", Article, Journal of Web Semantics, December 2019, 616 downloads.
  3. A. Padia, K. Kalpakis, F. Ferraro, and T. Finin, "Reflections on: Knowledge Graph Fact Prediction via Knowledge-Enriched Tensor Factorization", InProceedings, International Semantic Web Conference (Journal Track), October 2019, 353 downloads.
  4. C. Kery, N. W. Pillai, C. Matuszek, and F. Ferraro, "Building Language-Agnostic Grounded Language Learning Systems", InProceedings, 28th International Conference on Robot and Human Interactive Communication (Ro-Man), October 2019, 78 downloads.
  5. A. S. White, E. Stengel-Eskin, S. Vashishtha, V. Govindarajan, D. Reisinger, T. Vieira, K. Sakaguchi, S. Zhang, F. Ferraro, R. Rudinger, K. Rawlins, and B. Van Durme, "The Universal Decompositional Semantics Dataset and Decomp Toolkit", Article, arXiv:1909.13851 [cs.CL], September 2019, 40 downloads.
  6. F. Ferraro, T. (. Huang, S. M. Lukin, and M. Mitchell, "Proceedings of the Second Workshop on Storytelling", Proceedings, Association for Computational Linguistics, August 2019, 51 downloads.
  7. M. Murnane, M. Breitmeyer, F. Ferraro, C. Matuszek, and D. Engel, "Learning from Human-Robot Interactions in Modeled Scenes", InProceedings, ACM SIGGRAPH 2019 Posters, July 2019, 53 downloads.
  8. M. Murnane, M. Breitmeyer, F. Ferraro, and C. Matuszek, "Learning from Human-Robot Interactions in Modeled Scenes", InProceedings, ACM SIGGRAPH 2019 Posters, July 2019, 60 downloads.
  9. C. Kery, F. Ferraro, and C. Matuszek, "¿Es un plátano? Exploring the Application of a Physically Grounded Language Acquisition System to Spanish", NAACL Combined Workshop on Spatial Language Understanding and Grounded Communication for Robotics, June 2019, 149 downloads.
  10. N. W. Pillai, F. Ferraro, and C. Matuszek, "Deep Learning for Category-Free Grounded Language Acquisition", NAACL Workshop on Spatial Language Understanding and Grounded Communication for Robotics, June 2019, 45 downloads.

2018

  1. A. Padia, F. Ferraro, and T. Finin, "SURFACE: Semantically Rich Fact Validation with Explanations", InCollection, arXiv, November 2018, 296 downloads.
  2. A. Padia, F. Ferraro, and T. Finin, "Team UMBC-FEVER: Claim verification using Semantic Lexical Resources", InProceedings, Proceedings of the First Workshop on Fact Extraction and Verification, November 2018, 385 downloads.
  3. A. Padia, F. Ferraro, and T. Finin, "SURFACE: Semantically Rich Fact Validation with Explanations", Article, arXiv preprint arXiv:1810.13223, October 2018, 152 downloads.
  4. A. Padia, F. Ferraro, and T. Finin, "KG Cleaner: Identifying and Correcting Errors Produced by Information Extraction Systems", InCollection, arXiv, August 2018, 339 downloads.
  5. N. W. Pillai, F. Ferraro, and C. Matuszek, "Optimal Semantic Distance for Negative Example Selection in Grounded Language Acquisition", Workshop on Models and Representations for Natural Human-Robot Communication (Robotics: Science and Systems), June 2018, 136 downloads.
  6. M. Mitchell, F. Ferraro, and I. Misra, "Proceedings of the First Workshop on Storytelling", Proceedings, Association for Computational Linguistics, June 2018, 140 downloads.
  7. A. Padia, A. Roy, T. W. Satyapanich, F. Ferraro, S. Pan, Y. Park, A. Joshi, and T. Finin, "UMBC at SemEval-2018 Task 8: Understanding Text about Malware", InProceedings, Proceedings of International Workshop on Semantic Evaluation (SemEval-2018), June 2018, 702 downloads.

2017

  1. F. Ferraro, A. Poliak, R. Cotterell, and B. Van Durme, "Frame-Based Continuous Lexical Semantics through Exponential Family Tensor Factorization and Semantic Proto-Roles", InProceedings, Proceedings of the Sixth Joint Conference on Lexical and Computational Semantics (*SEM), August 2017, 329 downloads.

2016

  1. F. Ferraro and B. Van Durme, "A Unified Bayesian Model of Scripts, Frames and Language.", InProceedings, Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, February 2016, 308 downloads.