3 papers
physics.soc-ph2024
The networks of ingredient combinations as culinary fingerprints of world cuisines
Claudio Caprioli, Saumitra Kulkarni, Federico Battiston +3
Investigating how different ingredients are combined in popular dishes is crucial to uncover the principles behind food preferences. Here, we use data from public food repositories…
physics.soc-ph2023
Investigation of Indian stock markets using topological data analysis and geometry-inspired network measures
Saumitra Kulkarni, Hirdesh K. Pharasi, Sudharsan Vijayaraghavan +3
Geometry-inspired measures (such as discrete Ricci curvatures) and topological data analysis (TDA) based methods (such as persistent homology) have become attractive tools for char…
cs.CL2021
Vyākarana: A Colorless Green Benchmark for Syntactic Evaluation in Indic Languages
Rajaswa Patil, Jasleen Dhillon, Siddhant Mahurkar +3
While there has been significant progress towards developing NLU resources for Indic languages, syntactic evaluation has been relatively less explored. Unlike English, Indic langua…