Deven Shah

Employment

• Microsoft Research Applied Scientist 2
  2021 - Present
• Yahoo! Inc Research Engineer
  2019 - 2021
• Goldman Sachs (United States) Summer Analyst
  2018 - 2018
• Maker's Lab, Tech Mahindra Ltd. Machine Learning Intern
  2016 - 2017
• Barclays (United Kingdom) Business Analyst Intern
  2016 - 2016

Education

• Stony Brook University MS in Computer Science
  2017 - 2018
• Government College of Engineering Bachelor of Technology
  2013 - 2017

Projects & Funding

Projects & funding information is unavailable.

Publications (9)

• Decoding News Bias: Multi Bias Detection in News Articles
  2024 DOI: 10.1145/3711542.3711601
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• Local Life: Stay Informed Around You, A Scalable Geoparsing and Geotagging Approach to Serve Local News Worldwide
  arXiv e-prints 2023 DOI: 10.48550/arXiv.2305.07168
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• What's happening in your neighborhood? A Weakly Supervised Approach to Detect Local News
  arXiv e-prints 2023 DOI: 10.48550/arXiv.2301.08146
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• Application of Hierarchical Temporal Memory Theory for Document Categorization
  arXiv e-prints 2021 DOI: 10.48550/arXiv.2112.14820
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• Distantly Supervised Semantic Text Detection and Recognition for Broadcast Sports Videos Understanding
  arXiv e-prints 2021 DOI: 10.48550/arXiv.2111.00629
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• Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview
  Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics 2020 DOI: 10.18653/v1/2020.acl-main.468
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• Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview
  2019
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• Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview
  arXiv e-prints 2019 DOI: 10.48550/arXiv.1912.11078
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• Application of hierarchical temporal memory theory for document categorization
  2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI) 2017 DOI: 10.1109/uic-atc.2017.8397473
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