57 citations · 257 across the 33 of their papers we have counts for
9 papers · 1 filter
AraNet: A Deep Learning Toolkit for Arabic Social Media
Muhammad Abdul-Mageed, Chiyu Zhang, Azadeh Hashemi +1
We describe AraNet, a collection of deep learning Arabic social media processing tools. Namely, we exploit an extensive host of publicly available and novel social media datasets t…
Sentence-Level BERT and Multi-Task Learning of Age and Gender in Social Media
Muhammad Abdul-Mageed, Chiyu Zhang, Arun Rajendran +3
Social media currently provide a window on our lives, making it possible to learn how people from different places, with different backgrounds, ages, and genders use language. In t…
DiaNet: BERT and Hierarchical Attention Multi-Task Learning of Fine-Grained Dialect
Muhammad Abdul-Mageed, Chiyu Zhang, AbdelRahim Elmadany +2
Prediction of language varieties and dialects is an important language processing task, with a wide range of applications. For Arabic, the native tongue of ~ 300 million people, mo…
BERT-Based Arabic Social Media Author Profiling
Chiyu Zhang, Muhammad Abdul-Mageed
We report our models for detecting age, language variety, and gender from social media data in the context of the Arabic author profiling and deception detection shared task (APDA)…
Multi-Task Bidirectional Transformer Representations for Irony Detection
Chiyu Zhang, Muhammad Abdul-Mageed
Supervised deep learning requires large amounts of training data. In the context of the FIRE2019 Arabic irony detection shared task (IDAT@FIRE2019), we show how we mitigate this ne…
UBC-NLP at SemEval-2019 Task 6:Ensemble Learning of Offensive Content With Enhanced Training Data
Arun Rajendran, Chiyu Zhang, Muhammad Abdul-Mageed
We examine learning offensive content on Twitter with limited, imbalanced data. For the purpose, we investigate the utility of using various data enhancement methods with a host of…