Maximum Entropy Named Entity Recognition for Czech Language

被引：0

作者：

Konkol, Michal ^{[1
]}

Konopik, Miloslav ^{[1
]}

机构：

[1] Univ W Bohemia, Lab Intelligent Commun Syst, Plzen 30614, Czech Republic

来源：

TEXT, SPEECH AND DIALOGUE, TSD 2011 | 2011年 / 6836卷

关键词：

Named Entity Recognition; Maximum Entropy; Semantic Spaces; Czech;

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：

Named Entity Recognition (NER) is an important preprocessing tool for many Natural Language Processing tasks like Information Retrieval, Question Answering or Machine Translation. This paper is focused on NER for Czech language. The proposed NER is based on knowledge and experiences acquired on other languages and adapted for Czech. Our recognizer outperforms the previously introduced recognizers for Czech. The article is also focused on the use of semantic spaces for NER. Although no significant improvement was yet achieved in this way, we believe that the research is worth of sharing.

引用

页码：203 / 210

页数：8

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