Abstract Both Goodnight Desdemona (Good Morning Juliet) (1990) and Harlem Duet (1997) are Canadian feminist appropriations of William Shakespeare. Both deal, at least partly, with Othello, and both can be considered subversive re-visions of Shakespeare’s play which aim ...

The anaphors and ellipses resolution is a challenging task for most of NLP applications. However, few works have addressed this problem in Arabic. In fact the richness of the Arabic language and the scarcity of labeled data make the task more difficult. This paper offer...

Abstract In several real-world applications, extracting spatial semantics from text is critical. Spatial Role Labeling (SpRL) introduces a language-independent annotation scheme used in these applications, particularly for reasoning purposes. This paper proposes, first ...

Abstract The great success of social networks is due to their ability to offer Internet users a space of free expression where they can produce a large amount of information which provides every day with a new challenge for data analysts. The ease of use of social media...

Abstract One of the most important factors which considerably affects the quality of the neural sequence labeling model is the selection and encoding of input features to generate rich semantic and grammatical word representation vectors. Recently, pre-training text enc...

Abstract Factoid Question-Answering (QA) Systems were developed to provide an accurate answer to a factoid question expressed in a natural language. The prime knowledge resources for most of factoid QA systems are online databases. However, the unstructured information ...

Reading and interpreting the medical image still remains the most challenging task in radiology. Through the important achievement of deep Convolutional Neural Networks (CNN) in the context of medical image classification, various clinical applications have been provid...

Ordering events with temporal relations in texts remains a challenge in natural language processing. In this paper, we introduce a new combined neural network architecture that is capable of classifying temporal relations between events in an Arabic sentence. Our model ...

This paper presents the Online Arabic words recognition competition (OAWRC 2021) held at ASAR 2021 workshop in conjuction with ICDAR 2021. This competition uses the ADAB database, which is a database of Arabic handwritten words. Three groups with four systems are partic...