Furthermore, approximately 62% of the triggers have zero-nested holders (i.e.
the contribution of this research, therefore, is twofold: first, we create a novel resource for Arabic NLP which is expected to enhance research on modality automatic identification and extraction; second, we present an efficient and easy-to-administer annotation procedure with interactive crowdsourcing potentials for the complex task of modality annotation.