7 citations · 17 across the 3 of their papers we have counts for
3 papers
Hierarchical Text Classification of Urdu News using Deep Neural Network
Taimoor Ahmed Javed, Waseem Shahzad, Umair Arshad
Digital text is increasing day by day on the internet. It is very challenging to classify a large and heterogeneous collection of data, which require improved information processin…
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…
NUBOT: Embedded Knowledge Graph With RASA Framework for Generating Semantic Intents Responses in Roman Urdu
Johar Shabbir, Muhammad Umair Arshad, Waseem Shahzad
The understanding of the human language is quantified by identifying intents and entities. Even though classification methods that rely on labeled information are often used for th…