scholar.google.com › citations
This paper describes an unsupervised person relation extraction system. This system automatically extracts important people relations from a limited batch of ...
Abstract—Extracting the social relation network of persons is challenging. Discovering significant binary person relations embedded in the web news would be ...
Integrating feature ranking and clustering method to discover person relations in web news. L. Zhao, X. Wan, and Y. Wu. FSKD, page 1821-1825. IEEE, (2011 ).
In this paper, we are investigating the application of a great spectrum of clustering algorithms, as well as similarity measures, to news articles that ...
Nov 11, 2021 · We propose a clustering method of case-involved news, which combines topic network and multi-head attention mechanism.
Missing: discover person
To make full use of news document structure and the relation among different news documents, a news topic clustering method is proposed of using the ...
Missing: ranking | Show results with:ranking
Mar 25, 2024 · MicroAlgo Inc.'s deep clustering algorithm based on multi-level feature fusion effectively solves the problems of data dimensionality disaster and feature ...
Nov 30, 2021 · Our results demonstrated that different clustering methods had a significant influence on the recommendation results.
Missing: Integrating ranking discover
Jun 21, 2024 · Feature ranking is a simple technique used for feature subset selection. This method is preferable over other methods due to less computational complexity.
Missing: web | Show results with:web
3 Citations · Research on Social Relation Extraction of Web Persons · Integrating feature ranking and clustering method to discover person relations in web news.