most citedAn Ensemble Blocking Scheme for Entity Resolution of Large and Sparse Datasets

15 citations · 26 across the 5 of their papers we have counts for

collaborators
Showing cs.AIShow all

5 papers · 1 filter

cs.AI2023

A Knowledge Graph-Based Search Engine for Robustly Finding Doctors and Locations in the Healthcare Domain

Mayank Kejriwal, Hamid Haidarian, Min-Hsueh Chiu +3

Efficiently finding doctors and locations is an important search problem for patients in the healthcare domain, for which traditional information retrieval methods tend not to work…

cs.AI2023

Named Entity Resolution in Personal Knowledge Graphs

Mayank Kejriwal

Entity Resolution (ER) is the problem of determining when two entities refer to the same underlying entity. The problem has been studied for over 50 years, and most recently, has t…

cs.AI20234 cited

Toward Defining a Domain Complexity Measure Across Domains

Katarina Doctor, Christine Task, Eric Kildebeck +3

Artificial Intelligence (AI) systems planned for deployment in real-world applications frequently are researched and developed in closed simulation environments where all variables…

cs.AI20236 cited

A Pilot Evaluation of ChatGPT and DALL-E 2 on Decision Making and Spatial Reasoning

Zhisheng Tang, Mayank Kejriwal

We conduct a pilot study selectively evaluating the cognitive abilities (decision making and spatial reasoning) of two recently released generative transformer models, ChatGPT and…

cs.AI201615 cited

An Ensemble Blocking Scheme for Entity Resolution of Large and Sparse Datasets

Janani Balaji, Faizan Javed, Mayank Kejriwal +3

Entity Resolution, also called record linkage or deduplication, refers to the process of identifying and merging duplicate versions of the same entity into a unified representation…