Hungarian named entity recognition with a maximum entropy approach

被引：1
|
作者：
Varga, Daniel [1 ]
Simon, Eszter [1 ]
机构：
[1] Budapesti Muszaki & Gazdasagtudomanyi Egyet Media, Budapest, Hungary
来源：
ACTA CYBERNETICA | 2007年 / 18卷 / 02期
关键词：
natural language processing; computational linguistics; named entity recognitio;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
In the analysis of natural language text a key step is named entity recognition, finding all complex noun phrases that denote persons, organizations,locations, and other entities designated by a name. In this paper we introduce the hunner open source language-independent named entity recognition system, and present results for Hungarian. When the input to hunner is already morphologically analyzed, we apply the system together with the hunpos morphological disambiguator, but hunner is also capable of working on raw (morphologically unanalyzed) text.
引用
收藏
页码：293 / 301
页数：9
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