Name: DAWQAS: A Dataset for Arabic Why Question Answering System
Description: A Dataset for Arabic Why Question Answering System
Provider: Multiple institutions
Paper Title: DAWQAS: A Dataset for Arabic Why Question Answering System
Tasks: question answering
Venue Name: nternational Conference on AI in Computational Linguistics
Authors: W. S. Ismail,Masun Nabhan Homsi
Abstract: Abstract A why question answering system is a tool designed to answer why-questions posed in natural language. Several papers have been published on the problem of answering why-questions. In particular, attempts have been made to analyze Arabic text and predict which passages are best candidates for the why-questions; employing different datasets with limited size and not publicly available. To overcome these limitations, this paper introduces the new publicly available dataset, DAWQAS: Dataset for Arabic Why Question Answering System. It consists of 3205 of why question-answer pairs that were first scraped from public Arabic websites, then texts were preprocessed and converted to feature vectors. Afterwards, why-answers were re-categorized based on their domains. Finally, the rhetorical relations’ probabilities based on discourse markers were computed for each sentence in the dataset. DAWQAS is a valuable resource for research and evaluation in language understanding. The new dataset is freely available at https://github.com/masun/DAWQAS .