Using pre-trained transformer models such as BERT has proven to be effective in many NLP tasks. This paper presents our work to fine-tune BERT models for Arabic Word Sense Disambiguation (WSD). We treated the WSD task as a sentence-pair binary classification task. First...

This study aims at automating the process of topical keyword organization of set of documents in an input text corpus. It is conducted in the context of a larger project to investigate efficient unsupervised learning techniques to automatically extract relevant classes ...

The bigger picture As world and regional powers get more embroiled in the Syrian war, serious questions arise surrounding the credibility of news documenting the facts of war in the decade-long conflict. The spread of fake news around documentation of the war, going bey...

This study examines the discourse emerging from cultural heritage content shared online during the COVID-19 pandemic. It aims to understand the different affective and cognitive dynamics that are associated with the online sharing of cultural heritage in difficult times...

This paper investigates World Heritage (WH) perception from the perspective of children, both as physical representations in space and as experiences and understandings of place. The Little Artists...

A coronavirus called COVID-19 appeared in Wuhan, China in December 2019. By early 2020 it caused a worldwide pandemic of a respiratory illness. This virus crisis affected the economy in the world in 2020 and will affect it in 2021, a lot of companies lost $ billions, es...

Where are you going? and where are you coming from? are two guiding questions in the artwork From Where to Where (2010) by Annabel Daou. The questions are imbued with contextual meanings and asked ...