2023
- K. Darvish, E. Raff, F. Ferraro, and C. Matuszek, "Multimodal Language Learning for Object Retrieval in Low Data Regimes in the Face of Missing Modalities", Article, Transactions on Machine Learning Research, October 2023, 356 downloads.
- F. Lu, E. Raff, and F. Ferraro, "Neural Bregman Divergences for Distance Learning", InProceedings, 11th International Conference on Learning Representations, May 2023, 231 downloads.
2021
- P. Ranade, A. Piplai, A. Joshi, and T. Finin, "CyBERT: Contextualized Embeddings for the Cybersecurity Domain", InProceedings, IEEE International Conference on Big Data, December 2021, 2078 downloads.
- N. Pillai, C. Matuszek, and F. Ferraro, "Neural Variational Learning for Grounded Language Acquisition", InProceedings, IEEE International Conference on Robot & Human Interactive Communication (RO-MAN), August 2021, 360 downloads.
- A. Ganesan, F. Ferraro, and T. Oates, "Learning a Reversible Embedding Mapping using Bi-Directional Manifold Alignment", InProceedings, Findings of the Association for Computational Linguistics, August 2021, 486 downloads.
- 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, 521 downloads.
2020
- S. Dasgupta, A. Piplai, A. Kotal, and A. Joshi, "A Comparative Study of Deep Learning based Named Entity Recognition Algorithms for Cybersecurity", InProceedings, IEEE International Conference on Big Data 2020, December 2020, 1290 downloads.
- K. P. Joshi and S. Saha, "A Semantically Rich Framework for Knowledge Representation of Code of Federal Regulations (CFR)", Article, Digital Government: Research and Practice, December 2020, 543 downloads.
- 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, 460 downloads.
- M. Sills, P. Ranade, and S. Mittal, "Cybersecurity Threat Intelligence Augmentation and Embedding Improvement - A Healthcare Usecase", InProceedings, International Conference on Intelligence and Security Informatics (ISI), November 2020, 243 downloads.
- S. Vallurupalli, J. Sleeman, and T. Finin, "Fine and Ultra-Fine Entity Type Embeddings for Question Answering", InProceedings, International Semantic Web Conference, November 2020, 586 downloads.
- 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, 624 downloads.
- 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, 512 downloads.
- A. Ganesan, F. Ferraro, and T. Oates, "Locality Preserving Loss to Align Vector Spaces", Article, arXiv:2004.03734 [cs.LG], April 2020, 577 downloads.
- 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, 2519 downloads, 150 citations.
2019
- R. Razavisousan and K. P. Joshi, "Two Tier Analysis of Social Media Collaboration for Student Migration", InProceedings, IEEE International Conference on Collaboration and Internet Computing (IEEE CIC), 2019, December 2019, 758 downloads.
- 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, 1193 downloads.
- A. Padia, "Joint Models to Refine Knowledge Graphs", PhdThesis, University of Maryland, Baltimore County, December 2019, 549 downloads.
- 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, 890 downloads.
- A. Padia, "Joint Models to Refine Knowledge Graphs", PhdThesis, October 2019, 1038 downloads.
- N. 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, 498 downloads.
- M. M. Rahman, S. Hisamoto, and K. Duh, "Query Expansion for Cross-Language Question Re-Ranking", Article, arXiv:1904.07982, April 2019, 485 downloads.
2018
- 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, 1188 downloads.
- M. M. Rahman, "Understanding the Logical and Semantic Structure of Large Documents", PhdThesis, University of Maryland, Baltimore County, May 2018, 651 downloads.
- R. Ayanzadeh, "Quantum Artificial Intelligence for Natural Language Processing Applications", InProceedings, SIGCSE '18: Proceedings of the 49th ACM Technical Symposium on Computer Science Education, February 2018.
2017
- S. Saha, K. P. Joshi, and A. Gupta, "A Deep Learning Approach to Understanding Cloud Service Level Agreements ", InProceedings, Fifth International IBM Cloud Academy Conference, May 2017, 1495 downloads.
- A. L. Kashyap, "Deep Representation of Lyrical Style and Semantics for Music Recommendation", PhdThesis, University of Maryland, Baltimore County, May 2017, 525 downloads.
UMBC ebiquity