'University of Aden - Faculty of Economics and Administration'
Abstract
We present the results of our Arabic and English runs at the TAC 2011 Multilingual summarisation (MultiLing) task. We partic- ipated with centroid-based clustering for multi- document summarisation. The automatically generated Arabic and English summaries were evaluated by human participants and by two automatic evaluation metrics, ROUGE and Au- toSummENG. The results are compared with the other systems that participated in the same track on both Arabic and English languages. Our Arabic summariser performed particularly well in the human evaluation