4 papers
Uncertainty Quantification for Named Entity Recognition via Full-Sequence and Subsequence Conformal Prediction
Matthew Singer, Srijan Sengupta, Karl Pazdernik
Named Entity Recognition (NER) serves as a foundational component in many natural language processing (NLP) pipelines. However, current NER models typically output a single predict…
Statistical inference for core-periphery structures
Eric Yanchenko, Srijan Sengupta, Diganta Mukherjee
Core-periphery (CP) structure is an important meso-scale network property where nodes group into a small, densely interconnected {core} and a sparse {periphery} whose members prima…
A label-switching algorithm for fast core-periphery identification
Eric Yanchenko, Srijan Sengupta
Core-periphery (CP) structure is frequently observed in networks where the nodes form two distinct groups: a small, densely interconnected core and a sparse periphery. Borgatti and…
Statistical Network Analysis: Past, Present, and Future
Srijan Sengupta
This article provides a brief overview of statistical network analysis, a rapidly evolving field of statistics, which encompasses statistical models, algorithms, and inferential me…