About me

I am a Director at Liberty Mutual Insurance, focusing on Machine Learning (ML) and Natural Language Processing (NLP). My responsibilities involve contributing to and guiding teams in the development of state-of-the-art solutions.

Previously, I worked as a senior research scientist at Philips Research North America, where I concentrated on designing and implementing NLP algorithms for problems related to the clinical domain.

I earned my PhD in Computer Science from the University of Maryland, Baltimore County. My PhD dissertation was centered around developing ML and NLP algorithms to enhance the quality of knowledge graphs. I was under the guidance of Prof. Tim Finin and Prof. Francis Ferraro.

Research Interest

Machine Learning, Natural Language Processing, Health Care, Knowledge Graph, Ontologies, Cybersecurity

Recent News

• (Jun 2023) Serving as an Area Chair and Reviewer for Industry track for EMNLP 2023
  
• (Feb 2023) Joined as a Director at Liberty Mutual Insurance, Boston, MA
  
• (Mar 2022) Paper on Jointly Identifying and Fixing Inconsistent Readings from Information Extraction Systems accepted at ACL 2022
  
• (Oct 2021) Promoted to Senior Research Scientist at Philips Research North America
  
• (Jun 2020) Ranked 2nd in Annual Philips Clinical Trial Eligibiilty Criteria Competition
  
• (Jul 2020) Paper on Knowledge Graph Inference using Tensor Embedding accepted at KRR 2020
  
• (Oct 2019) Joined as Research Scientist at Philips Research North America, Cambrdige, MA
  
• (Oct 2019) Awarded PhD in Computer Science
  
• (Nov 2019) Paper on Named entity recognition for nepali language accepted at IEEE CIC
  
• (Jun 2019) Paper on Reflections on: Knowledge Graph Fact Prediction via Knowledge-Enriched Tensor Factorization accepted at ISWC 2020
  
• (May 2019) Won IBM Research AI Residency 2019 award
  
• (Jan 2019) Paper on Knowledge graph fact prediction via knowledge-enriched tensor factorization accepted at Journal of Web Semantics, Elsevier
  

Publications

Knowledge Graph

• Jointly Identifying and Fixing Inconsistent Readings from Information Extraction Systems.
  Ankur Padia, Francis Ferraro, and Tim Finin.
  Deep Learning Inside Out
  ACL 2022
  Paper

• Knowledge graph inference using tensor embedding.
  Ankur Padia, Kostantinos Kalpakis, Francis Ferraro, and Tim Finin.
  Knowledge Representation and Reasoning (KRR), 2020
  Paper

• Knowledge graph fact prediction via knowledge-enriched tensor factorization.
  Ankur Padia, Konstantinos Kalpakis, Francis Ferraro, and Tim Finin
  Journal of Web Semantics 2019
  Paper

• SURFACE: semantically rich fact validation with explanations.
  Ankur Padia, Francis Ferraro, and Tim Finin.
  arXiv preprint arXiv:1810.13223 (2018)
  Paper

• Claim verification using semantic lexical resources.
  Ankur Padia, Francis Ferraro, and Tim Finin.
  Fact Extraction and VERification
  EMNLP 2018
  Paper

• Automating class/instance representational choices in knowledge bases.
  Ankur Padia, David Martin, and Peter F. Patel-Schneider.
  EKAW 2018
  Paper

• Cleaning noisy knowledge graphs.
  Ankur Padia.
  Doctoral Consortium
  ISWC 2017.
  Paper

• Inferring relations in knowledge graphs with tensor decompositions.
  Ankur Padia, Konstantinos Kalpakis, and Tim Finin.
  IEEE BigData, 2016.
  paper

NER for low resource langauge

• Named entity recognition for nepali language.
  Singh Oyesh Mann, Ankur Padia, and Anupam Joshi.
  IEEE CIC 2019
  paper

Cybersecurity

• Understanding text about malware.
  Ankur Padia, Arpita Roy, Taneeya W. Satyapanich, Francis Ferraro, Shimei Pan, Youngja Park, Anupam Joshi, and Tim Finin.
  SemEval, NAACL 2018
  paper

• Attribute-based fine grained access control for triple stores
  Ankur Padia, Tim Finin, and Anupam Joshi.
  PrivOn ISWC 2015.
  paper

Ontology

• UCO: A Unified Cybersecurity Ontology
  Zareen Syed, Ankur Padia, Tim Finin, Lisa Mathews, and Anupam Joshi.
  AAAI Workshop: Artificial Intelligence for Cyber Security 2016
  AAAI 2016
  paper

Academic service

Program Committee Member/Reviewer for

• EMNLP (2018, 2019, 2020, 2021, 2022, 2023)
• EACL (2022)
• ACL (2020, 2023)
• AAAI (2020, 2021, 2022, 2023, 2024)
• CoNLL (2020, 2021, 2022, 2023)
• MDT-ASONAM (2019)
• ISWC (2019, 2020, 2021, 2022, 2023)
• Journal of Web Semantics (2020, 2022)

Area chair:

• EMNLP (2023)