Arabic Text Representation using Rich Semantic Graph: A Case Study
نویسندگان
چکیده
Representing Arabic Text semantically using Rich Semantic Graph (RSG) is one of the recent techniques that facilitate the process of manipulating the Arabic Language in Natural Language Processing (NLP) field. The work presented in this paper is a part of an ongoing research to create an abstractive summary for a single input document in Arabic Language. The abstractive summary is generated through three modules: converting the input Arabic text into a Rich Semantic Graph, then performing Graph Reduction, and finally generating the summarized text from the reduced graph. This is done with the aid of a domain Ontology. In this paper, we are presenting the first module and a detailed case study verifying our work. Key-Words: Arabic Language, Text Representation, Rich Semantic Graph (RSG), Natural Language Processing(NLP), Text Summarization, Ontology.
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