Search Results for author:
Found 5 papers, 0 papers with code
GCDH@LT-EDI-EACL2021: XLM-RoBERTa for Hope Speech Detection in English, Malayalam, and Tamil
This paper describes approaches to identify Hope Speech in short, informal texts in English, Malayalam and Tamil using different machine learning techniques.
Employing Wikipedia as a resource for Named Entity Recognition in Morphologically complex under-resourced languages
We propose a novel approach for rapid prototyping of named entity recognisers through the development of semi-automatically annotated datasets.
No winners: Performance of lung cancer prediction models depends on screening-detected, incidental, and biopsied pulmonary nodule use cases
This study retrospectively evaluated promising predictive models for lung cancer prediction in three clinical settings: lung cancer screening with low-dose computed tomography, incidentally detected pulmonary nodules, and nodules deemed suspicious enough to warrant a biopsy.
On the N-gram Approximation of Pre-trained Language Models
This study investigates the potential usage of PLMs for language modelling in ASR.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
Exploring shared memory architectures for end-to-end gigapixel deep learning
The M1 Ultra SoC was able to train the model directly on gigapixel images (16000$\times$64000 pixels, 1. 024 billion pixels) with a batch size of 1 using over 100 GB of unified memory for the process at an average speed of 1 minute and 21 seconds per batch with Tensorflow 2/Keras.
