LREC 2006 - Proceedings sorted by papers

Title	What in the world is a Shahab?: Wide Coverage Named Entity Recognition for Arabic
Authors	L. Nezda, A. Hickl, J. Lehmann, S. Fayyaz
Abstract	This paper describes the development of CiceroArabic, the first wide coverage named entity recognition (NER) system for Modern Standard Arabic. Capable of classifying 18 different named entity classes with over 85% F, CiceroArabic utilizes a new 800,000-word annotated Arabic newswire corpus in order to achieve high performance without the need for hand-crafted rules or morphological information. In addition to describing results from our system, we show that accurate named entity annotation for a large number of semantic classes is feasible, even for very large corpora, and we discuss new techniques designed to boost agreement and consistency among annotators over a long-term annotation effort.
Keywords	Arabic, Named Entity Recognition
Full paper	What in the world is a Shahab?: Wide Coverage Named Entity Recognition for Arabic

Title

What in the world is a Shahab?: Wide Coverage Named Entity Recognition for Arabic

Authors

L. Nezda, A. Hickl, J. Lehmann, S. Fayyaz

Abstract

This paper describes the development of CiceroArabic, the first wide coverage named entity recognition (NER) system for Modern Standard Arabic. Capable of classifying 18 different named entity classes with over 85% F, CiceroArabic utilizes a new 800,000-word annotated Arabic newswire corpus in order to achieve high performance without the need for hand-crafted rules or morphological information. In addition to describing results from our system, we show that accurate named entity annotation for a large number of semantic classes is feasible, even for very large corpora, and we discuss new techniques designed to boost agreement and consistency among annotators over a long-term annotation effort.

Keywords

Arabic, Named Entity Recognition

Full paper

What in the world is a Shahab?: Wide Coverage Named Entity Recognition for Arabic