Social media platforms empower us in several ways, from information
diss...
One of the biggest challenges in designing mispronunciation detection mo...
NatiQ is end-to-end text-to-speech system for Arabic. Our speech synthes...
Gender analysis of Twitter can reveal important socio-cultural differenc...
We introduce a generic, language-independent method to collect a large
p...
The emergence of the COVID-19 pandemic and the first global infodemic ha...
Rampant use of offensive language on social media led to recent efforts ...
We introduce the largest transcribed Arabic speech corpus, QASR, collect...
Pretraining Bidirectional Encoder Representations from Transformers (BER...
Over the past few months, there were huge numbers of circulating tweets ...
The term natural language refers to any system of symbolic communication...
With the outbreak of the COVID-19 pandemic, people turned to social medi...
We present the results and main findings of SemEval-2020 Task 12 on
Mult...
We present QADI, an automatically collected dataset of tweets belonging ...
Disinformation, i.e., information that is both false and means harm, thr...
Detecting offensive language on Twitter has many applications ranging fr...
Diacritics (short vowels) are typically omitted when writing Arabic text...
This paper describes the SemEval–2016 Task 3 on Community Question
Answe...
We describe SemEval-2017 Task 3 on Community Question Answering. This ye...
Diacritization process attempt to restore the short vowels in Arabic wri...
In this paper we describe the complexity of building a lemmatizer for Ar...
Arabic word segmentation is essential for a variety of NLP applications ...