no code implementations • nlppower (ACL) 2022 • Usman Naseem, Byoung Chan Lee, Matloob Khushi, Jinman Kim, Adam G. Dunn
We present and release PHS-BERT, a transformer-based PLM, to identify tasks related to public health surveillance on social media.
no code implementations • 20 Nov 2021 • Xipei Wang, Haoyu Zhang, Yuanbo Zhang, Meng Wang, Jiarui Song, Tin Lai, Matloob Khushi
Our results show that our model can predict 4-hour future trends with high accuracy in the Forex dataset, which is crucial in realistic scenarios to assist foreign exchange trading decision making.
1 code implementation • 9 Jul 2021 • Usman Naseem, Adam G. Dunn, Matloob Khushi, Jinman Kim
We present BioALBERT, a domain-specific adaptation of A Lite Bidirectional Encoder Representations from Transformers (ALBERT), trained on biomedical (PubMed and PubMed Central) and clinical (MIMIC-III) corpora and fine tuned for 6 different tasks across 20 benchmark datasets.
no code implementations • 6 Jul 2021 • Yunze Li, Yanan Xie, Chen Yu, Fangxing Yu, Bo Jiang, Matloob Khushi
Traditionally, traders refer to technical analysis based on the historical data to make decisions and trade.
no code implementations • 6 Jul 2021 • Mimansa Rana, Nanxiang Mao, Ming Ao, Xiaohui Wu, Poning Liang, Matloob Khushi
The foreign exchange market has taken an important role in the global financial market.
no code implementations • 17 Jun 2021 • Usman Naseem, Matloob Khushi, Jinman Kim, Adam G. Dunn
In this study, to classify vaccine sentiment tweets with limited information, we present a novel end-to-end framework consisting of interconnected components that use domain-specific LM trained on vaccine-related tweets and models commonsense knowledge into a bidirectional gated recurrent network (CK-BiGRU) with context-aware attention.
no code implementations • 13 Mar 2021 • Jaideep Singh, Matloob Khushi
To reject the Efficient Market Hypothesis a set of 5 technical indicators and 23 fundamental indicators was identified to establish the possibility of generating excess returns on the stock market.
no code implementations • 13 Mar 2021 • Mukul Jaggi, Priyanka Mandal, Shreya Narang, Usman Naseem, Matloob Khushi
These datasets were labelled with three labelling techniques based on stock price changes.
no code implementations • 13 Mar 2021 • Zexin Hu, Yiqi Zhao, Matloob Khushi
Deep learning application had proven to yields better accuracy and return in the field of financial prediction and forecasting.
no code implementations • 13 Mar 2021 • Mimi Mukherjee, Matloob Khushi
SMOTE-NC can be applied only on mixed datasets that have features consisting of both continuous and nominal features and cannot function if all the features of the dataset are nominal.
no code implementations • 29 Jan 2021 • Ling Qi, Matloob Khushi, Josiah Poon
The majority of studies in the field of AI guided financial trading focus on purely applying machine learning algorithms to continuous historical price and technical analysis data.
no code implementations • 29 Jan 2021 • Yiqi Zhao, Matloob Khushi
In this paper, we propose a Wavelet Denoised-ResNet with LightGBM model to predict the rate of change of Forex price after five time intervals to allow enough time to execute trades.
no code implementations • 27 Dec 2020 • Tae Wan Kim, Matloob Khushi
In our research, a conservative level of transaction fees and slippage are considered for the realistic experiment.
no code implementations • 19 Sep 2020 • Usman Naseem, Matloob Khushi, Vinay Reddy, Sakthivel Rajendran, Imran Razzak, Jinman Kim
In recent years, with the growing amount of biomedical documents, coupled with advancement in natural language processing algorithms, the research on biomedical named entity recognition (BioNER) has increased exponentially.
no code implementations • 16 Aug 2020 • Matloob Khushi, Georgina Edwards, Diego Alonso de Marcos, Jane E Carpenter, J Dinny Graham, Christine L Clarke
These tools also enable large files to be sectioned for image analysis.
no code implementations • 16 Aug 2020 • Zhiwen Zeng, Matloob Khushi
Every change of trend in the forex market presents a great opportunity as well as a risk for investors.
1 code implementation • 16 Aug 2020 • Zezheng Zhang, Matloob Khushi
The parameters of technical indicators are optimized to maximize trading performance.
1 code implementation • 22 Jul 2019 • Nazim Choudhury, Fahim Faisal, Matloob Khushi
Existing techniques from Information Retrieval and Natural Language Processing attempt to identify the hidden or unpublished connections between information concepts within published literature, however, these techniques undermine the concept of predicting the future and emerging relations among scientific knowledge components encapsulated within the literature.