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A hybrid method for extracting relations between Arabic named entities
2014
Journal of King Saud University: Computer and Information Sciences
Relation extraction is a very useful task for several natural language processing applications, such as automatic summarization and question answering. In this paper, we present our hybrid approach to extracting relations between Arabic named entities. Given that Arabic is a rich morphological language, we build a linguistic and learning model to predict the positions of words that express a semantic relation within a clause. The main idea is to employ linguistic modules to ameliorate the
doi:10.1016/j.jksuci.2014.06.004
fatcat:avyfhre6mbcq7hzg35yf7jxdei