109 citations · 141 across the 6 of their papers we have counts for
6 papers
A Deep Learning Anomaly Detection Method in Textual Data
Amir Jafari
In this article, we propose using deep learning and transformer architectures combined with classical machine learning algorithms to detect and identify text anomalies in texts. De…
Comparison Study Between Token Classification and Sequence Classification In Text Classification
Amir Jafari
Unsupervised Machine Learning techniques have been applied to Natural Language Processing tasks and surpasses the benchmarks such as GLUE with great success. Building language mode…
The effects of data size on Automated Essay Scoring engines
Christopher Ormerod, Amir Jafari, Susan Lottridge +3
We study the effects of data size and quality on the performance on Automated Essay Scoring (AES) engines that are designed in accordance with three different paradigms; A frequenc…
Automated essay scoring using efficient transformer-based language models
Christopher M Ormerod, Akanksha Malhotra, Amir Jafari
Automated Essay Scoring (AES) is a cross-disciplinary effort involving Education, Linguistics, and Natural Language Processing (NLP). The efficacy of an NLP model in AES tests it a…
Enhanced Balancing GAN: Minority-class Image Generation
Gaofeng Huang, Amir H. Jafari
Generative adversarial networks (GANs) are one of the most powerful generative models, but always require a large and balanced dataset to train. Traditional GANs are not applicable…
Language models and Automated Essay Scoring
Pedro Uria Rodriguez, Amir Jafari, Christopher M. Ormerod
In this paper, we present a new comparative study on automatic essay scoring (AES). The current state-of-the-art natural language processing (NLP) neural network architectures are…