Creating News Context From a Folksonomy of Web Clipping

被引：0

作者：

Devezas, Jose ^{[1
]}

Alves, Henrique ^{[1
]}

Figueira, Alvaro ^{[1
]}

机构：

[1] Univ Porto, Fac Ciencias, CRACS INESC TEC, Rua Campo Alegre 1021-1055, P-4169007 Oporto, Portugal

来源：

INTERNATIONAL MULTICONFERENCE OF ENGINEERS AND COMPUTER SCIENTISTS, IMECS 2012, VOL I | 2012年

关键词：

named-entity-recognition; semantic-analytics; relationship-extraction; community-detection;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We propose a method for creating news context by taking advantage of a folksonomy of web clipping based on online news. We experiment with an ontology-based named entity recognition process and study two different ways of modeling the relationships induced by the coreference of named entities on news clips. We try to establish a context by identifying the community structure for a clip-centric network and for an entity-centric network, based on a small test set from the Breadcrumbs system. Finally, we compare both models, based on the detected news communities, and show the advantages of each network specification.

引用

页码：446 / 451

页数：6

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