52 citations · 58 across the 5 of their papers we have counts for
5 papers
Benchmarking for Public Health Surveillance tasks on Social Media with a Domain-Specific Pretrained Language Model
Usman Naseem, Byoung Chan Lee, Matloob Khushi +2
A user-generated text on social media enables health workers to keep track of information, identify possible outbreaks, forecast disease trends, monitor emergency cases, and ascert…
Benchmarking for Biomedical Natural Language Processing Tasks with a Domain Specific ALBERT
Usman Naseem, Adam G. Dunn, Matloob Khushi +1
The availability of biomedical text data and advances in natural language processing (NLP) have made new applications in biomedical NLP possible. Language models trained or fine tu…
Classifying vaccine sentiment tweets by modelling domain-specific representation and commonsense knowledge into context-aware attentive GRU
Usman Naseem, Matloob Khushi, Jinman Kim +1
Vaccines are an important public health measure, but vaccine hesitancy and refusal can create clusters of low vaccine coverage and reduce the effectiveness of vaccination programs.…
Text Mining of Stocktwits Data for Predicting Stock Prices
Mukul Jaggi, Priyanka Mandal, Shreya Narang +2
Stock price prediction can be made more efficient by considering the price fluctuations and understanding the sentiments of people. A limited number of models understand financial…
BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition
Usman Naseem, Matloob Khushi, Vinay Reddy +3
In recent years, with the growing amount of biomedical documents, coupled with advancement in natural language processing algorithms, the research on biomedical named entity recogn…