most citedCo-occurrences using Fasttext embeddings for word similarity tasks in Urdu

7 citations · 17 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL20217 cited

RUBERT: A Bilingual Roman Urdu BERT Using Cross Lingual Transfer Learning

Usama Khalid, Mirza Omer Beg, Muhammad Umair Arshad

In recent studies, it has been shown that Multilingual language models underperform their monolingual counterparts. It is also a well-known fact that training and maintaining monol…

cs.CL20212 cited

Bilingual Language Modeling, A transfer learning technique for Roman Urdu

Usama Khalid, Mirza Omer Beg, Muhammad Umair Arshad

Pretrained language models are now of widespread use in Natural Language Processing. Despite their success, applying them to Low Resource languages is still a huge challenge. Altho…

cs.CL20217 cited

Co-occurrences using Fasttext embeddings for word similarity tasks in Urdu

Usama Khalid, Aizaz Hussain, Muhammad Umair Arshad +2

Urdu is a widely spoken language in South Asia. Though immoderate literature exists for the Urdu language still the data isn't enough to naturally process the language by NLP techn…

cs.CL2021

Few Shot Learning for Information Verification

Usama Khalid, Mirza Omer Beg

Information verification is quite a challenging task, this is because many times verifying a claim can require picking pieces of information from multiple pieces of evidence which…

cs.CR20201 cited

Exploiting ML algorithms for Efficient Detection and Prevention of JavaScript-XSS Attacks in Android Based Hybrid Applications

Usama Khalid, Muhammad Abdullah, Kashif Inayat

The development and analysis of mobile applications in term of security have become an active research area from many years as many apps are vulnerable to different attacks. Especi…