Extracting Arabic Relations from the Web
Abstract
The goal of this research is to extract a large list or table from named entities and relations in a specific domain. A small set of a handful of instance relations is required as input from the user. The system exploits summaries from Google search engine as a source text. These instances are used to extract patterns. The output is a set of new entities and their relations. The results from four experiments show that precision and recall varies according to relation type. Precision ranges from 0.61 to 0.75 while recall ranges from 0.71 to 0.83. The best result is obtained for (player, club) relationship, 0.72 and 0.83 for precision and recall respectively.
Cite
@article{arxiv.1603.02488,
title = {Extracting Arabic Relations from the Web},
author = {Shimaa M. Abd El-salam and Enas M. F. El Houby and A. K. Al Sammak and T. A. El-Shishtawy},
journal= {arXiv preprint arXiv:1603.02488},
year = {2016}
}
Comments
18 pages, 5 figure,7 tables in International Journal of Computer Science & Information Technology (IJCSIT) Vol 8, No 1, February 2016