Evaluation of information retrieval and text mining tools on automatic named entity extraction

被引：0
|
作者：
Kumar, Nishant [1 ]
De Beer, Jan
Vanthienen, Jan
Moens, Marie-Francine
机构：
[1] Katholieke Univ Leuven, Res Ctr Management Informat, Louvain, Belgium
[2] Katholieke Univ Leuven, Legal Informat & Informat Retrieval Grp, Louvain, Belgium
来源：
INTELLIGENCE AND SECURITY INFORMATICS, PROCEEDINGS | 2006年 / 3975卷
关键词：
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 will report evaluation of Automatic Named Entity Extraction feature of IR tools on Dutch, French, and English text. The aim is to analyze the competency of off-the-shelf information extraction tools in recognizing entity types including person, organization, location, vehicle, time, & currency from unstructured text. Within such an evaluation one can compare the effectiveness of different approaches for identifying named entities.
引用
收藏
页码：666 / 667
页数：2
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