Arabic Relation Extraction: A Survey
Published in IJCIT, Vol. 5, issue 5, 2016
Recommended citation: Injy Sarhan, Yasser El-Sonbaty, Mohamed Abou Elnasr, “Arabic Relation Extraction: A Survey”, International Journal of Computer and Information Technology. (IJCIT, Vol. 5, issue 5). https://www.ijcit.com/archives/volume5/issue5/Paper050503.pdf
Being the intersection between lexical and computational science, Natural Language Processing (NLP) has been earning a vast amount of attention in the past years. Relation Extraction is a well-studied subject when it comes to English language. However, due to the complexity of the Arabic language, it is challenging to extract relations from Arabic text. The foremost goal of this paper is to discuss the major techniques used in Arabic relation extraction and investigate their strengths and weaknesses in order to guide future research towards creating an enhanced convenient relation extraction algorithm.