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Ankur Padia
Ankur Padia

Director, Data Science & Machine Learning

Alumnus, Ph.D. Alumnus

padiaankur@gmail.com

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Liberty Mutual Insurance ยท
Boston, MA , United States

Graduated in October 2019

Ankur Padia was a PhD student at the University of Maryland, Baltimore County (UMBC), and received his Ph.D. in October 2019. His research interests are in language understanding, machine learning, information extraction, and knowledge representation. He has done research internships at GE Global Research, Xerox Research Center, Nuance and RedShred LLC. He is currently a director at Liberty Mutual Insurance in Boston, MA.

Ankur Padia

Publications

2024

  1. A. Padia, F. Ferraro, and T. Finin, "Enhancing Knowledge Graph Consistency through Open Large Language Models: A Case Study", InProceedings, Proceedings of AAAI-MAKE: Empowering Machine Learning and Large Language Models with Domain and Commonsense Knowledge, March 2024, 463 downloads.

2022

  1. A. Padia, F. Ferraro, and T. Finin, "Jointly Identifying and Fixing Inconsistent Readings from Information Extraction Systems", InProceedings, Proceedings of the Third Deep Learning Inside Out (DeeLIO):Workshop: Knowledge Extraction and Integration for Deep Learning Architecture, May 2022, 465 downloads.

2020

  1. 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, 531 downloads.

2019

  1. A. Padia, "Joint Models to Refine Knowledge Graphs", PhdThesis, University of Maryland, Baltimore County, December 2019, 432 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, 1083 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, 767 downloads.
  4. A. Padia, "Joint Models to Refine Knowledge Graphs", PhdThesis, October 2019, 867 downloads.
  5. O. M. Singh, A. Padia, and A. Joshi, "Named Entity Recognition for Nepali Language", Article, arXiv:1908.05828 [cs.CL], August 2019, 891 downloads.

2018

  1. A. Padia, F. Ferraro, and T. Finin, "SURFACE: Semantically Rich Fact Validation with Explanations", InCollection, arXiv, November 2018, 632 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, 756 downloads.
  3. A. Padia, D. Martin, and P. Patel-Schneider, "Automating Class/Instance Representational Choices in Knowledge Bases", InProceedings, Knowledge Engineering and Knowledge Management (EKAW 2018), October 2018.
  4. A. Padia, F. Ferraro, and T. Finin, "SURFACE: Semantically Rich Fact Validation with Explanations", Article, arXiv preprint arXiv:1810.13223, October 2018, 520 downloads.
  5. A. Padia, F. Ferraro, and T. Finin, "KG Cleaner: Identifying and Correcting Errors Produced by Information Extraction Systems", InCollection, arXiv, August 2018, 719 downloads.
  6. 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, 1099 downloads.

2017

  1. A. Padia, "Cleaning Noisy Knowledge Graphs", InProceedings, Proceedings of the Doctoral Consortium at the 16th International Semantic Web Conference, October 2017, 1285 downloads.

2016

  1. A. Padia, K. Kalpakis, and T. Finin, "Inferring Relations in Knowledge Graphs with Tensor Decompositions", InProceedings, IEEE International Conference on Big Data , December 2016, 1576 downloads.
  2. Z. Syed, A. Padia, M. L. Mathews, T. Finin, and A. Joshi, "UCO: A Unified Cybersecurity Ontology", InProceedings, Proceedings of the AAAI Workshop on Artificial Intelligence for Cyber Security, February 2016, 3986 downloads.

2015

  1. A. Padia, T. Finin, and A. Joshi, "Attribute-based Fine Grained Access Control for Triple Stores", InProceedings, 3rd Society, Privacy and the Semantic Web - Policy and Technology workshop, 14th International Semantic Web Conference, October 2015, 1684 downloads.
  2. Z. Syed, T. Finin, A. Padia, and M. L. Mathews, "Supporting Situationally Aware Cybersecurity Systems", TechReport, University of Maryland Baltimore County, September 2015, 1795 downloads.