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» Improving NER in Arabic Using a Morphological Tagger
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LREC
2010
175views Education» more  LREC 2010»
13 years 7 months ago
Adapting a resource-light highly multilingual Named Entity Recognition system to Arabic
We present a working Arabic information extraction (IE) system that is used to analyze large volumes of news texts every day to extract the named entity (NE) types person, organiz...
Wajdi Zaghouani, Bruno Pouliquen, Mohamed Ebrahim,...
IBERAMIA
2004
Springer
13 years 11 months ago
Improving the Performance of a Named Entity Extractor by Applying a Stacking Scheme
Abstract. In this paper we investigate the way of improving the performance of a Named Entity Extraction (NEE) system by applying machine learning techniques and corpus transformat...
José A. Troyano, Víctor J. Dí...
EMNLP
2006
13 years 7 months ago
Lexicon Acquisition for Dialectal Arabic Using Transductive Learning
We investigate the problem of learning a part-of-speech (POS) lexicon for a resource-poor language, dialectal Arabic. Developing a high-quality lexicon is often the first step tow...
Kevin Duh, Katrin Kirchhoff
IAJIT
2007
128views more  IAJIT 2007»
13 years 6 months ago
A Multi-Agent System for POS-Tagging Vocalized Arabic Texts
: In this paper, we address the problem of Part-Of-Speech(POS) tagging of Arabic texts with vowel marks. After the description of the specificities of Arabic language and the induc...
Chiraz Ben Othmane Zribi, Aroua Torjmen, Mohamed B...
LREC
2008
175views Education» more  LREC 2008»
13 years 7 months ago
Arabic WordNet: Semi-automatic Extensions using Bayesian Inference
This presentation focuses on the semi-automatic extension of Arabic WordNet (AWN) using lexical and morphological rules and applying Bayesian inference. We briefly report on the c...
Horacio Rodríguez, David Farwell, Javi Ferr...