activity
20142024
most citedApplications of Online Deep Learning for Crisis Response Using Social Media Information

70 citations · 154 across the 9 of their papers we have counts for

collaborators

6 papers

cs.CL2023

NeuroX Library for Neuron Analysis of Deep NLP Models

Fahim Dalvi, Hassan Sajjad, Nadir Durrani

Neuron analysis provides insights into how knowledge is structured in representations and discovers the role of neurons in the network. In addition to developing an understanding o…

cs.CL2022

Analyzing Encoded Concepts in Transformer Language Models

Hassan Sajjad, Nadir Durrani, Fahim Dalvi +3

We propose a novel framework ConceptX, to analyze how latent concepts are encoded in representations learned within pre-trained language models. It uses clustering to discover the…

cs.CL201720 cited

QCRI Machine Translation Systems for IWSLT 16

Nadir Durrani, Fahim Dalvi, Hassan Sajjad +1

This paper describes QCRI's machine translation systems for the IWSLT 2016 evaluation campaign. We participated in the Arabic->English and English->Arabic tracks. We built both Phr…

cs.CL201670 cited

Applications of Online Deep Learning for Crisis Response Using Social Media Information

Dat Tien Nguyen, Shafiq Joty, Muhammad Imran +2

During natural or man-made disasters, humanitarian response organizations look for useful information to support their decision-making processes. Social media platforms such as Twi…

cs.CL201640 cited

Rapid Classification of Crisis-Related Data on Social Networks using Convolutional Neural Networks

Dat Tien Nguyen, Kamela Ali Al Mannai, Shafiq Joty +3

The role of social media, in particular microblogging platforms such as Twitter, as a conduit for actionable and tactical information during disasters is increasingly acknowledged.…

cs.SI201424 cited

Understanding Types of Users on Twitter

Muhammad Moeen Uddin, Muhammad Imran, Hassan Sajjad

People use microblogging platforms like Twitter to involve with other users for a wide range of interests and practices. Twitter profiles run by different types of users such as hu…