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
收藏
页码：446 / 451
页数：6
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