Search Results for author:
Found 4 papers, 0 papers with code
Fast Record Linkage for Company Entities
These insights guide further analytic approaches to the data and support data visualization.
Siamese Graph Neural Networks for Data Integration
In this work, we propose a general approach to modeling and integrating entities from structured data, such as relational databases, as well as unstructured sources, such as free text from news articles.
Business Entity Matching with Siamese Graph Convolutional Networks
Data integration has been studied extensively for decades and approached from different angles.
Investigating Active Learning Sampling Strategies for Extreme Multi Label Text Classification
Large scale, multi-label text datasets with high numbers of different classes are expensive to annotate, even more so if they deal with domain specific language.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
