A rule-based approach for Arabic temporal expression extraction

Abstract

There is a widely held belief in the natural language and computational linguistics communities that knowledge extraction such us Temporal Expression (TE) extraction is a significant step toward, improving important applications, e.g. Question/Answering (Q/A) and Language Understanding (LU). In this paper, we present a TE extraction system for Modern Standard Arabic using NooJ platform. This system exploits many aspects of the rich morphological features of the language. The experiments on the pilot Arabic Propbank data show that our system based on linguistic rules produces a global TE extraction F-measure score of 95.5%, which improves the current state-of-the-art in Arabic TE extraction.