Multi Output Learning using Task Wise Attention for Predicting Binary Properties of Tweets : Shared-Task-On-Fighting the COVID-19 Infodemic

In this paper, we describe our system for the shared task on Fighting the COVID-19 Infodemic in the English Language. Our proposed architecture consists of a multi-output classification model for the seven tasks, with a task-wise multi-head attentionlayer for inter-task information aggregation. This was built on top of the Bidirectional Encoder Representations obtained from the RoBERTa Transformer. We were able to achieve a mean F1 score of 0.891 on the test data, leading us to the second position on the test-set leaderboard.

Reading into the Image of Laila al-Akhielieyyeh's Poetic Self

Not only poetry has been restricted to men, but also Arab woman used to taste and write poetry since time immemorial, next to her interest in prose and narratology comparable to all Arabs at that Bedouin time—when they were still leading a simple life. However, names of women have been revealed and broadly circulated concering handling and criticizing poetry since antiquity.