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Eswaran Subrahmanian (Assoc)

Publications

Parmesan: mathematical concept extraction for education

Author(s)
Jacob Collard, Valeria de Paiva, Eswaran Subrahmanian
Mathematics is a highly specialized domain with its own unique set of challenges. Despite this, there has been relatively little research on natural language

An Infrastructure for Curating, Querying, and Augmenting Document Data: COVID-19 Case Study

Author(s)
Eswaran Subrahmanian, Guillaume Sousa Amaral, Talapady N. Bhat, Mary C. Brady, Kevin G. Brady, Jacob Collard, Sarra Chouder, Philippe Dessauw, Alden A. Dima, John T. Elliott, Walid Keyrouz, Nicolas Lelouche, Benjamin Long, Rachael Sexton, Ram D. Sriram
With the advent of the COVID-19 pandemic, there was the hope that data science approaches could help discover means for understanding, mitigating, and treating

Category Theory

Author(s)
Spencer Breiner, Eswaran Subrahmanian, Ram Sriram
Category theory (CT) is a branch of mathematics concerned with the representation and composition of structured relationships. Recent interest in systems

Extracting Mathematical Concepts from Text

Author(s)
Jacob Collard, Valeria de Paiva, Brendan Fong, Eswaran Subrahmanian
We investigate some different systems for extracting mathematical entities from texts in the mathematical field of category theory, as a first step for

Patents (2018-Present)

Graphic with multiple blocks showing a knowledge management system

Knowledge Management System and Process for Managing Knowledge

NIST Inventors
John T. Elliott , Talapady N. Bhat , Ursula R. Kattner , Carelyn E. Campbell , Ram D. Sriram , Eswaran Subrahmanian and Jacob Collard
A knowledge management system includes: a default knowledge system including: a knowledge system and a knowledge database in communication with the knowledge system; and a knowledge store in communication with the default knowledge system and including: a taxonomy amendment, an annotation amendment
Created August 20, 2019, Updated December 8, 2022