Eigenthemes

Eigenthemes

Improved entity linking

Eigenthemes performs unsupervised entity linking by exploiting the observation that entities mentioned in the same document tend to cluster in a low-dimensional subspace of a pretrained entity embedding space. It extracts this subspace via SVD and ranks entity candidates by their projection onto the dominant singular vectors, without requiring any labeled training data.

Natural Language
Maturity
Support
C4DT
Inactive
Lab
Unknown

Data Science Lab

Data Science Lab
Robert West

Prof. Robert West

Our research aims to make sense of large amounts of data. Frequently, the data we analyze is collected on the Web, e.g., using server logs, social media, wikis, online news, online games, etc. We distill heaps of raw data into meaningful insights by developing and applying algorithms and techniques in areas including social and information network analysis, machine learning, computational social science, data mining, natural language processing, and human computation.

This page was last edited on 2024-04-16.