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

7 citations · 18 across the 6 of their papers we have counts for

collaborators

6 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.CR20212 cited

Detecting Compliance of Privacy Policies with Data Protection Laws

Ayesha Qamar, Tehreem Javed, Mirza Omer Beg

Privacy Policies are the legal documents that describe the practices that an organization or company has adopted in the handling of the personal data of its users. But as policies…

cs.AR2021

Cache Bypassing for Machine Learning Algorithms

Asim Ikram, Muhammad Awais Ali, Mirza Omer Beg

Graphics Processing Units (GPUs) were once used solely for graphical computation tasks but with the increase in the use of machine learning applications, the use of GPUs to perform…