2014 •
Splitting Arabic Texts into Elementary Discourse Units
Authors:
Iskandar Keskes, Farah Benamara Zitoune, Lamia Hadrich Belguith
Abstract:
International audience; In this article, we propose the first work that investigates the feasibility of Arabic discourse segmentation into elementary discourse units within the segmented discourse representation theory framework. We first describe our annotation scheme that defines a set of principles to guide the segmentation process. Two corpora have been annotated according to this scheme: elementary school textbooks and newspaper documents extracted from the syntactically annotated Arabic Treebank. Then, we propose a multiclass supervised l (...)
International audience; In this article, we propose the first work that investigates the feasibility of Arabic discourse segmentation into elementary discourse units within the segmented discourse representation theory framework. We first describe our annotation scheme that defines a set of principles to guide the segmentation process. Two corpora have been annotated according to this scheme: elementary school textbooks and newspaper documents extracted from the syntactically annotated Arabic Treebank. Then, we propose a multiclass supervised learning approach that predicts nested units. Our approach uses a combination of punctuation, morphological, lexical, and shallow syntactic features. We investigate how each feature contributes to the learning process. We show that an extensive morphological analysis is crucial to achieve good results in both corpora. In addition, we show that adding chunks does not boost the performance of our system. (Read More)
Iskandar Keskes, Farah Benamara Zitoune, Lamia Hadrich Belguith
ACM Transactions on Asian Language Information Processing ·
2014
Natural language processing |
Artificial intelligence |
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