Logic-based approach for improving Arabic question answering

Logical and inference approaches in Arabic question answering are in their first steps compared to other languages like English. This paper deals with the automatic Arabic text comprehension of question answering. Our goal is to understand a given text then answer a list of questions related to it. To do that, we have proposed an approach with which we can analyze a given text in an open domain and generate from them logical representations. Our approach is based on recognizing the textual entailment method. We have implemented this approach in a question answering system called NArQAS: New Arabic Question Answering System.