Brown clustering
id:
brown-clustering-192-1095195
title:
Brown clustering
text:
Brown clustering is a hard hierarchical agglomerative clustering problem based on distributional information proposed by Peter Brown, William A. Brown, Vincent Della Pietra, Peter V. de Souza, Jennifer Lai, and Robert Mercer. The method, which is based on bigram language models, is typically applied to text, grouping words into clusters that are assumed to be semantically related by virtue of their having been embedded in similar contexts.
brand slug:
wiki
category slug:
encyclopedia
description:
original url:
https://en.wikipedia.org/wiki/Brown_clustering
date created:
date modified:
2024-01-23T01:48:41Z
main entity:
{"identifier":"Q17003931","url":"https://www.wikidata.org/entity/Q17003931"}
image:
fields total:
13
integrity:
13