Whether the goal is to estimate the number of people that live in a congressional district, to
estimate the number of individuals that have died in an armed conflict, or to disambiguate …

Whether the goal is to estimate the number of people that live in a congressional district, to
estimate the number of individuals that have died in an armed conflict, or to disambiguate …

In this work we describe an entity resolution project performed at Yad Vashem, the central
repository of Holocaust-era information. The Yad Vashem dataset is unique with respect to …

Databases often contain corrupted, degraded, and noisy data with duplicate entries across
and within each database. Such problems arise in citations, medical databases, genetics …

Entity resolution has received considerable attention in recent years. Given many references
to underlying entities, the goal is to predict which references correspond to the same entity …

In this work we present a multi-source uncertain entity resolution model and show its
implementation in a use case of Yad Vashem, the central repository of Holocaust-era …

Entity resolution (ER; also known as record linkage or de-duplication) is the process of
merging noisy databases, often in the absence of unique identifiers. A major advancement …

Entity resolution identifies and removes duplicate entities in large, noisy databases and has
grown in both usage and new developments as a result of increased data availability …

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 …

In this paper, we address the problem of entity resolution, where given many references to
underlying objects, the task is to predict which references correspond to the same object. We …