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LREC
2008
124views Education» more  LREC 2008»
13 years 6 months ago
Improving NER in Arabic Using a Morphological Tagger
We discuss a named entity recognition system for Arabic, and show how we incorporated the information provided by MADA, a full morphological tagger which uses a morphological anal...
Benjamin Farber, Dayne Freitag, Nizar Habash, Owen...
ACL
2010
13 years 2 months ago
Arabic Named Entity Recognition: Using Features Extracted from Noisy Data
Building an accurate Named Entity Recognition (NER) system for languages with complex morphology is a challenging task. In this paper, we present research that explores the featur...
Yassine Benajiba, Imed Zitouni, Mona T. Diab, Paol...
IICAI
2007
13 years 6 months ago
ANERsys 2.0: Conquering the NER Task for the Arabic Language by Combining the Maximum Entropy with POS-tag Information
In this paper we describe an improved version of ANERsys, an Arabic Named Entity Recognition system for open-domain texts. The first version of ANERsys was totally based on the Ma...
Yassine Benajiba, Paolo Rosso
LREC
2010
150views Education» more  LREC 2010»
13 years 6 months ago
Constructing and Using Broad-coverage Lexical Resource for Enhancing Morphological Analysis of Arabic
Broad-coverage language resources which provide prior linguistic knowledge must improve the accuracy and the performance of NLP applications. We are constructing a broad-coverage ...
Majdi Sawalha, Eric Atwell
NAACL
2007
13 years 6 months ago
Arabic Diacritization through Full Morphological Tagging
We present a diacritization system for written Arabic which is based on a lexical resource. It combines a tagger and a lexeme language model. It improves on the best results repor...
Nizar Habash, Owen Rambow