Difference between revisions of "Arabic Named Entity Recognition Process Using Transducer Cascade and Arabic Wikipedia"
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| − | '''Arabic Named Entity Recognition Process Using Transducer Cascade and Arabic Wikipedia''' - scientific work related to Wikipedia quality published in 2015, written by Fatma Ben Mesmia, Kais Haddar, Denis Maurel and Nathalie Friburger. | + | '''Arabic Named Entity Recognition Process Using Transducer Cascade and Arabic Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2015, written by [[Fatma Ben Mesmia]], [[Kais Haddar]], [[Denis Maurel]] and [[Nathalie Friburger]]. |
== Overview == | == Overview == | ||
| − | Transducers namely transducer cascades are used in several NLP-applications such as Arabic named entity recognition (ANER). To experiment and evaluate an ANER process, a weight coverage corpus is necessary. In this paper, authors propose an ANER method based on transducer cascade. The proposed transducer cascade is generated with the CasSys tool integrated in Unitex linguistic platform. The experimentation of method is done on a Wikipedia corpus. The Wikipedia text format is obtained with Kiwix tool. The experiment results are satisfactory based on calculated measures. | + | Transducers namely transducer cascades are used in several NLP-applications such as Arabic [[named entity recognition]] (ANER). To experiment and evaluate an ANER process, a weight coverage corpus is necessary. In this paper, authors propose an ANER method based on transducer cascade. The proposed transducer cascade is generated with the CasSys tool integrated in Unitex linguistic platform. The experimentation of method is done on a [[Wikipedia]] corpus. The Wikipedia text format is obtained with Kiwix tool. The experiment results are satisfactory based on calculated [[measures]]. |
Revision as of 11:59, 10 May 2020
Arabic Named Entity Recognition Process Using Transducer Cascade and Arabic Wikipedia - scientific work related to Wikipedia quality published in 2015, written by Fatma Ben Mesmia, Kais Haddar, Denis Maurel and Nathalie Friburger.
Overview
Transducers namely transducer cascades are used in several NLP-applications such as Arabic named entity recognition (ANER). To experiment and evaluate an ANER process, a weight coverage corpus is necessary. In this paper, authors propose an ANER method based on transducer cascade. The proposed transducer cascade is generated with the CasSys tool integrated in Unitex linguistic platform. The experimentation of method is done on a Wikipedia corpus. The Wikipedia text format is obtained with Kiwix tool. The experiment results are satisfactory based on calculated measures.
