Name: EASC
Description: 153 Arabic articles and 765 human-generated extractive summaries of those articles
Provider: University of Essex
Paper Title: Using Mechanical Turk to Create a Corpus of Arabic Summaries
  
Tasks: summarization
Venue Name: nan
Authors: Mahmoud El-Haj,Udo Kruschwitz,C. Fox
Abstract: This paper describes the creation of a human-generated corpus of extractive Arabic summaries of a selection of Wikipedia and Arabic newspaper articles using Mechanical Turk?an online workforce. The purpose of this exercise was two-fold. First, it addresses a shortage of relevant data for Arabic natural language processing. Second, it demonstrates the application of Mechanical Turk to the problem of creating natural language resources. The paper also reports on a number of evaluations we have performed to compare the collected summaries against results obtained from a variety of automatic summarisation systems.