no code implementations • EMNLP 2020 • Hammad Rizwan, Muhammad Haroon Shakeel, Asim Karim
The task of automatic hate-speech and offensive language detection in social media content is of utmost importance due to its implications in unprejudiced society concerning race, gender, or religion.
1 code implementation • 4 Jan 2020 • Muhammad Haroon Shakeel, Asim Karim
Such informal and code-switched content are under-resourced in terms of labeled datasets and language models even for popular tasks like sentiment classification.
no code implementations • 27 Dec 2019 • Muhammad Haroon Shakeel, Asim Karim, Imdadullah Khan
In this work, we present a data augmentation strategy and a multi-cascaded model for improved paraphrase detection in short texts.
no code implementations • 27 Dec 2019 • Sarwan Ali, Muhammad Haroon Shakeel, Imdadullah Khan, Safiullah Faizullah, Muhammad Asad Khan
Predicting node attributes in such graphs is an important problem with applications in many domains like recommendation systems, privacy preservation, and targeted advertisement.
no code implementations • 27 Dec 2019 • Muhammad Haroon Shakeel, Turki Alghamidi, Safi Faizullah, Imdadullah Khan
These methods, however apply to texts written in a specific language.
no code implementations • 22 Dec 2019 • Waseem Abbas, Muhammad Haroon Shakeel, Numan Khurshid, Murtaza Taj
Retinal blood vessels are considered to be the reliable diagnostic biomarkers of ophthalmologic and diabetic retinopathy.
1 code implementation • 29 Nov 2019 • Muhammad Haroon Shakeel, Asim Karim, Imdadullah Khan
Our model achieves high accuracy for classification on this dataset and outperforms the previous model for multilingual text classification, highlighting language independence of McM.